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One file may hold\\nmany documents separated by `---`; that is normal, not a smell.\\nDocs: https://cli.bino.bi/concepts/workdir-and-manifests/\\n\\n## The pipeline\\n\\nFour stages, each a kind, each referencing the previous one by name:\\n\\n1. **DataSource** - raw input: `csv`, `excel`, `parquet`, `inline`, `postgres_query`, `mysql_query`.\\n2. **DataSet** - a typed table computed from sources. Exactly one of `spec.query` (DuckDB SQL),\\n   `spec.prql`, or `spec.source` (pass-through of one DataSource, no transformation).\\n3. **LayoutPage** - `spec.children` arranges the visual components: `Table`, `Text`, `ChartTime`,\\n   `ChartStructure`, `ChartScatter`, `ChartBubble`, `ChartBullet`, `Tree`, `Grid`, `LayoutCard`,\\n   `Image`. `LayoutCard` and `Grid` nest further children.\\n4. **Artefact** - `ReportArtefact` (PDF from pages), `LiveReportArtefact` (interactive web app),\\n   `DocumentArtefact` (PDF from Markdown), `ScreenshotArtefact` (PNG/JPEG of single components).\\n\\nWire it leaves-first so every reference resolves when you write it.\\nDocs: https://cli.bino.bi/getting-started/key-ideas/\\n\\n## metadata.name is the table name\\n\\n`metadata.name` is how documents reference each other. For `DataSource` it is also the DuckDB table\\n(view) name the query engine registers, so it must be a SQL identifier: snake*case matching\\n`^[a-z*][a-z0-9_]\\\\*$`. SQL always references these names - `FROM sales*csv`- never a file path or\\na file name. A`DataSet`result is not a queryable table in a build. Do not start a name with`\\\\_inline*`; bino reserves that prefix.\\nDocs: https://cli.bino.bi/concepts/data-model/\\n\\n## dependencies\\n\\nA `DataSet` lists in `spec.dependencies` every DataSource its SQL reads. Every DataSource is\\nregistered as a view and queryable in every query, so a forgotten entry is not an error - but the\\ndataset cache then misses changes to that source and serves stale results. `bino lint` and\\n`validate_project` report it as `dataset-dependency-undeclared`. With `spec.source` the dependency is\\nimplied. `dataset-dependency-unused` is informational: remove an entry only after confirming the\\nquery does not read that source (e.g. through `bino_shift`). `graph_deps` shows the resolved graph.\\nDocs: https://cli.bino.bi/reference/dataset/\\n\\n## The standard dataset columns\\n\\nComponents expect a DataSet with these column names (this section says what they are _called_;\\n`bino-ibcs` says what they mean and how to choose them):\\n\\n- **Scenarios**, four families with four slots each: `ac1`..`ac4` (actual), `pp1`..`pp4` (previous\\n  period), `fc1`..`fc4` (forecast), `pl1`..`pl4` (plan). Numeric, nullable.\\n- **Grouping**: `rowGroup`, `category`, `subCategory`, `columnGroup` - each with a matching\\n  `rowGroupIndex`, `categoryIndex`, `subCategoryIndex`, `columnGroupIndex` that fixes the order.\\n- **`date`** - ISO-8601 string; `ChartTime` requires it.\\n- **`operation`** - `'+'` (default) or `'-'`; the sign a row contributes in aggregations.\\n- **Variance tokens** in component specs follow `d<B>_<A>_[pos|neg|neu]` for absolute and `dr<B>_<A>_…`\\n  for relative differences, e.g. `dac1_pl1_pos`, `drac1_pp1_neg`.\\n\\nDocs: https://cli.bino.bi/reference/dataset/#standard-dataset-schema\\n\\n## Layout children: ref or inline, and params\\n\\nA child of `LayoutPage` / `LayoutCard` / `Grid` is either **`kind` + `ref`** - a standalone document\\nreferenced by its `metadata.name`; any `spec` given alongside overrides the referenced spec (objects\\ndeep-merge, arrays replace) - or **`kind` + `spec`** - defined inline. `Text`, `Table`, the charts,\\n`Tree`, `Grid`, `LayoutCard` and `Image` can be referenced; a `LayoutPage` cannot. A missing `ref`\\nfails the build unless the child is `optional: true`.\\n\\nA page declares `metadata.params` (`name`, `type`, `default`, …). An artefact then renders the same\\npage once per parameter set - `layoutPages: [{page: sales, params: {REGION: EU}}, …]` - and\\n`${REGION}` expands anywhere in the page's spec. Explicit value > declared default > env var.\\nDocs: https://cli.bino.bi/reference/layout-page/ and https://cli.bino.bi/guides/layoutpage-params/\\n\\n## Constraints\\n\\n`metadata.constraints` includes a document only when every condition holds, evaluated per artefact\\nagainst `mode` (`build` / `preview` / `serve`), `artefactKind`, `labels.<key>` or `spec.<field>`.\\nThe common case is `constraints: [mode==preview]` on a DataSet that samples rows, so `bino preview`\\nstays fast while `bino build` uses the full data. Operators: `==`, `!=`, `in`, `not-in`; AND only.\\n`ReportArtefact` itself cannot carry constraints. Names only need to be unique _after_ filtering.\\nDocs: https://cli.bino.bi/concepts/constraints-and-scoped-names/\\n\\n## Inline datasets\\n\\nA component may carry its own query instead of binding to a DataSet: `spec.dataset: {query,\\ndependencies}`. Entries in that `dependencies` list may themselves be inline DataSource specs; the SQL\\nthen addresses them positionally as `@inline(0)`, `@inline(1)`. Named dependencies are addressed by\\nname as usual. Prefer a standalone DataSet when more than one component needs the same rows.\\nDocs: https://cli.bino.bi/reference/dataset/\\n\\n## Variables\\n\\nAny string value may contain `${VAR}` or `${VAR:default}`, resolved from the environment. `bino\\npreview` warns about an unresolved variable and substitutes an empty string; `bino build` fails and\\nlists it. A manifest that only exists for preview still needs defaults or it breaks the build.\\nDocs: https://cli.bino.bi/concepts/workdir-and-manifests/\\n\\n## bino.toml and the output directories\\n\\n`bino.toml` marks the project root (bino searches upward for it) and holds `report-id` (a UUID from\\n`bino init`) and an optional `engine-version` pin. `dist/` is build output and `.bino/` is cache and\\nagent state; both are generated, never edited by hand.\\nDocs: https://cli.bino.bi/concepts/project-configuration/\\n\\n## Packages\\n\\nA **package** is a set of predef documents published to a registry under `@scope/name`. The project\\ndeclares it in `bino.toml` `[dependencies]` (an exact version or a tag such as `latest`), `bino.lock`\\npins the resolved version and digests (commit it), and `bino registry install` - or the `registry_add`\\ntool - materializes the files under `.bino/registry/` (generated, gitignored). Installed documents join\\nthe project load exactly like local ones: reference them by `metadata.name`, and a package document\\nthat shares kind and name with a local document fails the build's duplicate-name check - rename the\\nlocal document. `registry_packages` lists what the project depends on; `registry_search` and `registry_info` look\\nin the registry.\\nDocs: https://cli.bino.bi/guides/registry-and-dependencies/\\n\\n## Three levels of checking\\n\\n- `validate_draft(yaml)` - one document, in memory, against the schema and constraint syntax. It\\n  cannot see other documents, so a wrong `ref` or a missing dependency passes here.\\n- `validate_project(execute_queries?)` - the project on disk: references, dependencies, lint rules\\n  across documents; with `execute_queries` it runs the datasets and reports data-validation warnings.\\n- `build` - resolves everything, runs the SQL and renders. Only here do layout and rendering problems\\n  surface, and only a human looking at the PDF catches the rest.\\n  Docs: https://cli.bino.bi/cli/mcp/\\n\\n## When a concept is missing\\n\\nIf a term in a diagnostic, a brief, or an outline is not covered above, fetch\\nhttps://cli.bino.bi/llms-small.txt (the docs site also publishes `llms.txt` and `llms-full.txt`) and\\nread the matching section before guessing.\"}]}"}]},"parent_tool_use_id":null,"session_id":"e47996d3-129a-463f-8313-3b18fb0e5750","uuid":"ab4be54c-703a-470b-b0e5-8a142b88d15b","timestamp":"2026-10-21T19:15:28.801Z","tool_use_result":{"contents":[{"uri":"bino://skills/bino-concepts","mimeType":"text/markdown","text":"# How bino thinks\n\nbino is **Report-as-Code**: a report is a directory of YAML manifests plus SQL, rendered by the `bino`\nCLI to an IBCS-style PDF. This skill names the concepts; `bino-authoring` is the loop that uses them,\n`bino-ibcs` says what the scenario and variance columns _mean_.\n\n## The envelope\n\nEvery manifest is one YAML document with four top-level keys: `apiVersion: bino.bi/v1alpha1`, `kind`,\n`metadata` and `spec`. `metadata` carries `name` (the identity), optional `description` and `labels`,\nand - where relevant - `constraints` and `params`. `spec` is what `kind` decides. One file may hold\nmany documents separated by `---`; that is normal, not a smell.\nDocs: https://cli.bino.bi/concepts/workdir-and-manifests/\n\n## The pipeline\n\nFour stages, each a kind, each referencing the previous one by name:\n\n1. **DataSource** - raw input: `csv`, `excel`, `parquet`, `inline`, `postgres_query`, `mysql_query`.\n2. **DataSet** - a typed table computed from sources. Exactly one of `spec.query` (DuckDB SQL),\n   `spec.prql`, or `spec.source` (pass-through of one DataSource, no transformation).\n3. **LayoutPage** - `spec.children` arranges the visual components: `Table`, `Text`, `ChartTime`,\n   `ChartStructure`, `ChartScatter`, `ChartBubble`, `ChartBullet`, `Tree`, `Grid`, `LayoutCard`,\n   `Image`. `LayoutCard` and `Grid` nest further children.\n4. **Artefact** - `ReportArtefact` (PDF from pages), `LiveReportArtefact` (interactive web app),\n   `DocumentArtefact` (PDF from Markdown), `ScreenshotArtefact` (PNG/JPEG of single components).\n\nWire it leaves-first so every reference resolves when you write it.\nDocs: https://cli.bino.bi/getting-started/key-ideas/\n\n## metadata.name is the table name\n\n`metadata.name` is how documents reference each other. For `DataSource` it is also the DuckDB table\n(view) name the query engine registers, so it must be a SQL identifier: snake*case matching\n`^[a-z*][a-z0-9_]\\*$`. SQL always references these names - `FROM sales*csv`- never a file path or\na file name. A`DataSet`result is not a queryable table in a build. Do not start a name with`\\_inline*`; bino reserves that prefix.\nDocs: https://cli.bino.bi/concepts/data-model/\n\n## dependencies\n\nA `DataSet` lists in `spec.dependencies` every DataSource its SQL reads. Every DataSource is\nregistered as a view and queryable in every query, so a forgotten entry is not an error - but the\ndataset cache then misses changes to that source and serves stale results. `bino lint` and\n`validate_project` report it as `dataset-dependency-undeclared`. With `spec.source` the dependency is\nimplied. `dataset-dependency-unused` is informational: remove an entry only after confirming the\nquery does not read that source (e.g. through `bino_shift`). `graph_deps` shows the resolved graph.\nDocs: https://cli.bino.bi/reference/dataset/\n\n## The standard dataset columns\n\nComponents expect a DataSet with these column names (this section says what they are _called_;\n`bino-ibcs` says what they mean and how to choose them):\n\n- **Scenarios**, four families with four slots each: `ac1`..`ac4` (actual), `pp1`..`pp4` (previous\n  period), `fc1`..`fc4` (forecast), `pl1`..`pl4` (plan). Numeric, nullable.\n- **Grouping**: `rowGroup`, `category`, `subCategory`, `columnGroup` - each with a matching\n  `rowGroupIndex`, `categoryIndex`, `subCategoryIndex`, `columnGroupIndex` that fixes the order.\n- **`date`** - ISO-8601 string; `ChartTime` requires it.\n- **`operation`** - `'+'` (default) or `'-'`; the sign a row contributes in aggregations.\n- **Variance tokens** in component specs follow `d<B>_<A>_[pos|neg|neu]` for absolute and `dr<B>_<A>_…`\n  for relative differences, e.g. `dac1_pl1_pos`, `drac1_pp1_neg`.\n\nDocs: https://cli.bino.bi/reference/dataset/#standard-dataset-schema\n\n## Layout children: ref or inline, and params\n\nA child of `LayoutPage` / `LayoutCard` / `Grid` is either **`kind` + `ref`** - a standalone document\nreferenced by its `metadata.name`; any `spec` given alongside overrides the referenced spec (objects\ndeep-merge, arrays replace) - or **`kind` + `spec`** - defined inline. `Text`, `Table`, the charts,\n`Tree`, `Grid`, `LayoutCard` and `Image` can be referenced; a `LayoutPage` cannot. A missing `ref`\nfails the build unless the child is `optional: true`.\n\nA page declares `metadata.params` (`name`, `type`, `default`, …). An artefact then renders the same\npage once per parameter set - `layoutPages: [{page: sales, params: {REGION: EU}}, …]` - and\n`${REGION}` expands anywhere in the page's spec. Explicit value > declared default > env var.\nDocs: https://cli.bino.bi/reference/layout-page/ and https://cli.bino.bi/guides/layoutpage-params/\n\n## Constraints\n\n`metadata.constraints` includes a document only when every condition holds, evaluated per artefact\nagainst `mode` (`build` / `preview` / `serve`), `artefactKind`, `labels.<key>` or `spec.<field>`.\nThe common case is `constraints: [mode==preview]` on a DataSet that samples rows, so `bino preview`\nstays fast while `bino build` uses the full data. Operators: `==`, `!=`, `in`, `not-in`; AND only.\n`ReportArtefact` itself cannot carry constraints. Names only need to be unique _after_ filtering.\nDocs: https://cli.bino.bi/concepts/constraints-and-scoped-names/\n\n## Inline datasets\n\nA component may carry its own query instead of binding to a DataSet: `spec.dataset: {query,\ndependencies}`. Entries in that `dependencies` list may themselves be inline DataSource specs; the SQL\nthen addresses them positionally as `@inline(0)`, `@inline(1)`. Named dependencies are addressed by\nname as usual. Prefer a standalone DataSet when more than one component needs the same rows.\nDocs: https://cli.bino.bi/reference/dataset/\n\n## Variables\n\nAny string value may contain `${VAR}` or `${VAR:default}`, resolved from the environment. `bino\npreview` warns about an unresolved variable and substitutes an empty string; `bino build` fails and\nlists it. A manifest that only exists for preview still needs defaults or it breaks the build.\nDocs: https://cli.bino.bi/concepts/workdir-and-manifests/\n\n## bino.toml and the output directories\n\n`bino.toml` marks the project root (bino searches upward for it) and holds `report-id` (a UUID from\n`bino init`) and an optional `engine-version` pin. `dist/` is build output and `.bino/` is cache and\nagent state; both are generated, never edited by hand.\nDocs: https://cli.bino.bi/concepts/project-configuration/\n\n## Packages\n\nA **package** is a set of predef documents published to a registry under `@scope/name`. The project\ndeclares it in `bino.toml` `[dependencies]` (an exact version or a tag such as `latest`), `bino.lock`\npins the resolved version and digests (commit it), and `bino registry install` - or the `registry_add`\ntool - materializes the files under `.bino/registry/` (generated, gitignored). Installed documents join\nthe project load exactly like local ones: reference them by `metadata.name`, and a package document\nthat shares kind and name with a local document fails the build's duplicate-name check - rename the\nlocal document. `registry_packages` lists what the project depends on; `registry_search` and `registry_info` look\nin the registry.\nDocs: https://cli.bino.bi/guides/registry-and-dependencies/\n\n## Three levels of checking\n\n- `validate_draft(yaml)` - one document, in memory, against the schema and constraint syntax. It\n  cannot see other documents, so a wrong `ref` or a missing dependency passes here.\n- `validate_project(execute_queries?)` - the project on disk: references, dependencies, lint rules\n  across documents; with `execute_queries` it runs the datasets and reports data-validation warnings.\n- `build` - resolves everything, runs the SQL and renders. Only here do layout and rendering problems\n  surface, and only a human looking at the PDF catches the rest.\n  Docs: https://cli.bino.bi/cli/mcp/\n\n## When a concept is missing\n\nIf a term in a diagnostic, a brief, or an outline is not covered above, fetch\nhttps://cli.bino.bi/llms-small.txt (the docs site also publishes `llms.txt` and `llms-full.txt`) and\nread the matching section before guessing."}]},"tool_result_meta":[{"id":"toolu_01MbhVLYHb9eautJaMXmwWhY","permission_decision":{"decision":"accept","source":"config","reason_type":"rule"}}]}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UqxEzJjgqtZuaVfDNQoyGe","type":"tool_result","content":"{\"contents\":[{\"uri\":\"bino://skills/bino-authoring\",\"mimeType\":\"text/markdown\",\"text\":\"# Authoring bino manifests\\n\\nbino is **Report-as-Code**: a report is a set of YAML manifests (each typed by a `kind`) plus SQL.\\nbino's JSON Schema and validators tell you precisely whether what you wrote is correct - they are\\nyour guardrails. Lean on them; never guess structure.\\n\\nRead `bino-concepts` first - it is the mental model this loop assumes (names are tables,\\ndependencies, the standard columns, ref vs inline children, constraints, variables).\\n\\n## The one rule: introspect live, never invent\\n\\n**Always read structure from the running server. Never recall or hard-code a manifest's fields.**\\nThe schema is the source of truth and it evolves.\\n\\n- `list_kinds` → every available kind and its capability category (`data` / `layout` / `embeddable`\\n  / `artefact` / `config`). Plugins can add kinds, so always check.\\n- `outline_kind(kind)` → the **first read for any kind**: one entry per spec field with its path,\\n  type, required flag, enum, default and description. For a layout kind it lists the allowed child\\n  kinds as `childKinds` instead of expanding them.\\n- `scaffold_kind(kind)` → **starts every new document**: the minimal YAML with `apiVersion`, `kind`,\\n  `metadata.name` and every required spec field pre-filled. Fill the placeholders; do not ship it as is.\\n- `describe_kind(kind)` (or the `bino://schema/{kind}` resource) → the full spec JSON Schema with\\n  `$defs`. Large. Use it **only** when the outline leaves a shape ambiguous.\\n- `describe_project()` / `bino://documents` → every document already in the project.\\n\\nIf you find yourself writing a field you did not see in the outline, stop and re-read it.\\n\\nIf outline_kind is not offered by this server, the bino binary predates it - use describe_kind and\\nread only its `properties` and `required` keys; ignore allOf/if/then wrappers.\\n\\n## The authoring loop\\n\\n**Check the registry before authoring from scratch.** A published predef may already ship the\\ncomponent: `registry_search(\\\"kpi card\\\", kinds: [\\\"Table\\\"])` finds candidates, `registry_info(\\\"@acme/kpi-card\\\")`\\nshows what one contains, and `registry_add([\\\"@acme/kpi-card\\\"])` installs it as a dependency. Call\\n`registry_packages()` to see what the project already depends on and reference those documents by\\n`metadata.name` instead of re-authoring them. Author the component yourself only when nothing fits.\\nIf the server does not offer the registry tools, the bino binary predates them - skip this check.\\n\\nFor every manifest you create:\\n\\n1. **Read the shape** - `outline_kind(\\\"Table\\\")` (or whichever kind), then `scaffold_kind(\\\"Table\\\")`\\n   and fill its placeholders. For a layout kind (`LayoutPage`, `LayoutCard`, `Grid`): read\\n   `childKinds`, then `outline_kind(child)` for each child kind you place.\\n2. **Learn the data** - before writing any SQL or `${data…}` binding, call `get_columns(\\\"sales\\\")`\\n   to get the real column names (prefix `$` to force a DataSource: `get_columns(\\\"$raw\\\")`). Use\\n   `get_rows(\\\"sales\\\", 20)` to ground values you'll reference in narrative.\\n3. **Draft** the YAML document(s) against the outline you just read.\\n4. **Validate in memory** - `validate_draft(yaml)` before touching disk. Fix every diagnostic and\\n   re-validate until clean. This is the pre-write guardrail; use it on every draft.\\n5. **Write** - `create_manifest(kind, name, spec, …)` to create a new manifest (it builds the\\n   `apiVersion`/`kind`/`metadata`/`spec` envelope, validates, and places the file by convention), or\\n   `write_manifest(file, yaml, append?)` for a full document / a multi-doc file.\\n6. **Validate the project** - `validate_project()` to catch cross-document and reference problems\\n   that an in-memory draft can't see. Resolve diagnostics (see _Fixing_ below).\\n7. **Build** - `build(artefacts?)` only when the project validates. It renders PDFs via headless\\n   Chrome: slow, and it writes files. A clean `validate_project` does not guarantee a good-looking\\n   PDF - a human still needs to look at it.\\n\\nThe MCP server's own instructions summarize this loop; this skill is the disciplined version of it.\\n\\n## Wiring references - leaves first\\n\\nA report is a small dependency graph. Build it **from the leaves up** so every reference resolves at\\nthe moment you write it:\\n\\n1. **Data** first - `DataSource` (raw input), then `DataSet` (typed SQL over sources).\\n2. **Embeddables** next - `Table`, `Text`, `Tree`, `ChartTime`, `ChartStructure` - each binding to a\\n   dataset by name.\\n3. **Layout** - `LayoutPage` / `LayoutCard` / `Grid` arranging the embeddables.\\n4. **Artefact** last - `ReportArtefact` referencing the pages.\\n\\nReferences are by `metadata.name` (and `$ref` where the schema uses it). After wiring, use\\n`graph_deps(kind, name, direction?)` to confirm dependencies (`out`) and dependents (`in`) resolve.\\n\\n## Fixing diagnostics\\n\\n- Prefer **`edit_manifest(file, position?, patch)`** for surgical fixes: it applies dotted-path edits\\n  (e.g. `{\\\"spec.title\\\": \\\"Q3\\\", \\\"spec.columns[0]\\\": \\\"region\\\"}`) **in place, preserving comments and key\\n  order**, and validates before writing. Reach for it before rewriting a whole document.\\n- After any edit, re-run `validate_project()` and confirm the specific diagnostic is gone - don't\\n  assume a fix worked.\\n- Read the diagnostic's file/position; bino's messages point at the offending document and key.\\n\\n## Don't\\n\\n- Don't copy a kind's schema into your draft from memory - `outline_kind` every time.\\n- Don't write SQL or data bindings before `get_columns` confirms the column names.\\n- Don't `build` before `validate_project` is clean.\\n- Don't treat \\\"validates + builds\\\" as \\\"correct\\\" - that's what the human review is for.\"}]}"}]},"parent_tool_use_id":null,"session_id":"e47996d3-129a-463f-8313-3b18fb0e5750","uuid":"174b41e9-b2fa-4fa8-b326-4940fc79d769","timestamp":"2026-10-21T19:15:29.290Z","tool_use_result":{"contents":[{"uri":"bino://skills/bino-authoring","mimeType":"text/markdown","text":"# Authoring bino manifests\n\nbino is **Report-as-Code**: a report is a set of YAML manifests (each typed by a `kind`) plus SQL.\nbino's JSON Schema and validators tell you precisely whether what you wrote is correct - they are\nyour guardrails. Lean on them; never guess structure.\n\nRead `bino-concepts` first - it is the mental model this loop assumes (names are tables,\ndependencies, the standard columns, ref vs inline children, constraints, variables).\n\n## The one rule: introspect live, never invent\n\n**Always read structure from the running server. Never recall or hard-code a manifest's fields.**\nThe schema is the source of truth and it evolves.\n\n- `list_kinds` → every available kind and its capability category (`data` / `layout` / `embeddable`\n  / `artefact` / `config`). Plugins can add kinds, so always check.\n- `outline_kind(kind)` → the **first read for any kind**: one entry per spec field with its path,\n  type, required flag, enum, default and description. For a layout kind it lists the allowed child\n  kinds as `childKinds` instead of expanding them.\n- `scaffold_kind(kind)` → **starts every new document**: the minimal YAML with `apiVersion`, `kind`,\n  `metadata.name` and every required spec field pre-filled. Fill the placeholders; do not ship it as is.\n- `describe_kind(kind)` (or the `bino://schema/{kind}` resource) → the full spec JSON Schema with\n  `$defs`. Large. Use it **only** when the outline leaves a shape ambiguous.\n- `describe_project()` / `bino://documents` → every document already in the project.\n\nIf you find yourself writing a field you did not see in the outline, stop and re-read it.\n\nIf outline_kind is not offered by this server, the bino binary predates it - use describe_kind and\nread only its `properties` and `required` keys; ignore allOf/if/then wrappers.\n\n## The authoring loop\n\n**Check the registry before authoring from scratch.** A published predef may already ship the\ncomponent: `registry_search(\"kpi card\", kinds: [\"Table\"])` finds candidates, `registry_info(\"@acme/kpi-card\")`\nshows what one contains, and `registry_add([\"@acme/kpi-card\"])` installs it as a dependency. Call\n`registry_packages()` to see what the project already depends on and reference those documents by\n`metadata.name` instead of re-authoring them. Author the component yourself only when nothing fits.\nIf the server does not offer the registry tools, the bino binary predates them - skip this check.\n\nFor every manifest you create:\n\n1. **Read the shape** - `outline_kind(\"Table\")` (or whichever kind), then `scaffold_kind(\"Table\")`\n   and fill its placeholders. For a layout kind (`LayoutPage`, `LayoutCard`, `Grid`): read\n   `childKinds`, then `outline_kind(child)` for each child kind you place.\n2. **Learn the data** - before writing any SQL or `${data…}` binding, call `get_columns(\"sales\")`\n   to get the real column names (prefix `$` to force a DataSource: `get_columns(\"$raw\")`). Use\n   `get_rows(\"sales\", 20)` to ground values you'll reference in narrative.\n3. **Draft** the YAML document(s) against the outline you just read.\n4. **Validate in memory** - `validate_draft(yaml)` before touching disk. Fix every diagnostic and\n   re-validate until clean. This is the pre-write guardrail; use it on every draft.\n5. **Write** - `create_manifest(kind, name, spec, …)` to create a new manifest (it builds the\n   `apiVersion`/`kind`/`metadata`/`spec` envelope, validates, and places the file by convention), or\n   `write_manifest(file, yaml, append?)` for a full document / a multi-doc file.\n6. **Validate the project** - `validate_project()` to catch cross-document and reference problems\n   that an in-memory draft can't see. Resolve diagnostics (see _Fixing_ below).\n7. **Build** - `build(artefacts?)` only when the project validates. It renders PDFs via headless\n   Chrome: slow, and it writes files. A clean `validate_project` does not guarantee a good-looking\n   PDF - a human still needs to look at it.\n\nThe MCP server's own instructions summarize this loop; this skill is the disciplined version of it.\n\n## Wiring references - leaves first\n\nA report is a small dependency graph. Build it **from the leaves up** so every reference resolves at\nthe moment you write it:\n\n1. **Data** first - `DataSource` (raw input), then `DataSet` (typed SQL over sources).\n2. **Embeddables** next - `Table`, `Text`, `Tree`, `ChartTime`, `ChartStructure` - each binding to a\n   dataset by name.\n3. **Layout** - `LayoutPage` / `LayoutCard` / `Grid` arranging the embeddables.\n4. **Artefact** last - `ReportArtefact` referencing the pages.\n\nReferences are by `metadata.name` (and `$ref` where the schema uses it). After wiring, use\n`graph_deps(kind, name, direction?)` to confirm dependencies (`out`) and dependents (`in`) resolve.\n\n## Fixing diagnostics\n\n- Prefer **`edit_manifest(file, position?, patch)`** for surgical fixes: it applies dotted-path edits\n  (e.g. `{\"spec.title\": \"Q3\", \"spec.columns[0]\": \"region\"}`) **in place, preserving comments and key\n  order**, and validates before writing. Reach for it before rewriting a whole document.\n- After any edit, re-run `validate_project()` and confirm the specific diagnostic is gone - don't\n  assume a fix worked.\n- Read the diagnostic's file/position; bino's messages point at the offending document and key.\n\n## Don't\n\n- Don't copy a kind's schema into your draft from memory - `outline_kind` every time.\n- Don't write SQL or data bindings before `get_columns` confirms the column names.\n- Don't `build` before `validate_project` is clean.\n- Don't treat \"validates + builds\" as \"correct\" - that's what the human review is for."}]},"tool_result_meta":[{"id":"toolu_01UqxEzJjgqtZuaVfDNQoyGe","permission_decision":{"decision":"accept","source":"config","reason_type":"rule"}}]}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JBdehqQScrYFHNTNjBCN7C","type":"tool_result","content":"{\"contents\":[{\"uri\":\"bino://skills/bino-ibcs\",\"mimeType\":\"text/markdown\",\"text\":\"# IBCS semantics for bino\\n\\nbino renders reports to the [IBCS](https://www.ibcs.com/) notation standard. IBCS is a _meaning_\\nlayer the JSON Schema can't express: which column is an actual vs a plan, how a variance is named and\\ncoloured, which component fits the question. This skill is that rubric. It teaches semantics, not\\nstructure - for the exact fields of any kind, always `describe_kind` (see `bino-authoring`).\\n\\n> Source of truth (cite, don't copy): the bundled `references/data-model.md` (the engine's row\\n> shape, stamped with the engine commit it was copied from) and https://cli.bino.bi/concepts/data-model/.\\n> For the full IBCS standard (the SUCCESS rules, the rationale, the concepts bino doesn't yet model),\\n> read `references/ibcs-standard.md`.\\n\\n## SUCCESS at a glance\\n\\nIBCS is the **SUCCESS** framework - seven rule families. bino renders IBCS _by construction_, so some\\nfamilies are the engine's job and some are yours:\\n\\n|       | Family        | What it means                                            | Who owns it in bino                |\\n| ----- | ------------- | -------------------------------------------------------- | ---------------------------------- |\\n| **S** | **SAY**       | a message as a full sentence, said first, in the title   | **you** (author)                   |\\n| **U** | **UNIFY**     | semantic notation - scenarios, variances, units, terms   | **you** (codes) + engine (drawing) |\\n| **C** | CONDENSE      | high density; everything on one page                     | you (layout) + engine              |\\n| **C** | CHECK         | visual integrity - no truncated axes, one scale per unit | engine + `ScalingGroup`            |\\n| **E** | **EXPRESS**   | the right component for the question                     | **you** (component choice)         |\\n| **S** | SIMPLIFY      | no clutter; colour only for meaning                      | engine + you (no decoration)       |\\n| **S** | **STRUCTURE** | MECE - non-overlapping and exhaustive                    | **you** (author)                   |\\n\\nYour levers are **SAY, UNIFY, EXPRESS, STRUCTURE**. CHECK / CONDENSE / SIMPLIFY are mostly guaranteed\\nby bino's IBCS-native components - flag only authoring-level slips (decorative colour, a non-MECE\\nbreakdown), not things bino can't do wrong (it has no pie chart, no truncatable axis).\\n\\n## Scenarios - the four data families\\n\\nEvery measure column belongs to a **scenario**. There are four families, each with up to four slots\\n(`ac1`…`ac4`):\\n\\n| Code | Scenario        | Meaning                 | IBCS encoding      |\\n| ---- | --------------- | ----------------------- | ------------------ |\\n| `ac` | Actual          | realized values         | solid dark fill    |\\n| `pp` | Previous Period | prior-period comparison | light-grey fill    |\\n| `fc` | Forecast        | projected values        | hatched fill       |\\n| `pl` | Plan            | target / budget         | outlined (no fill) |\\n\\nAliases: `bu` (budget) → `pl`, `py` (prior year) → `pp`.\\n\\nWhat a `pp` slot compares against is declared on the DataSet (`derive:` or `assert:` with `shift`\\nand `grain`), and its caption follows the shift: a year shift is captioned `PY`, anything else `PP`.\\n\\n**Column display order** follows IBCS: `pp` < `pl` < `fc` < `ac`. When you model a dataset, name the\\nmeasure columns with these prefixes so bino applies the right notation automatically.\\n\\nThe numbered slots are **distinct scenarios of the same type** (IBCS WG1 \\\"more scenarios per\\ntype\\\"): `ac1` and `ac2` are two different actuals (e.g. two collection dates), not a typo. Keep it to\\n**3-4 scenarios per visualization** for clarity, and let the title carry what each slot means.\\n\\n## Variances - comparing two scenarios\\n\\nA variance column compares two scenarios. The naming convention is:\\n\\n```\\n{type}{base}_{delta}_{direction}\\n```\\n\\n| Part        | Values                | Meaning                                         |\\n| ----------- | --------------------- | ----------------------------------------------- |\\n| `type`      | `d` / `dr`            | `d` = absolute delta; `dr` = relative (%) delta |\\n| `base`      | `ac1`…`pl4`           | the value subtracted **from** (minuend)         |\\n| `delta`     | `ac1`…`pl4`           | the value subtracted (subtrahend)               |\\n| `direction` | `pos` / `neg` / `neu` | which sign is _good_                            |\\n\\n`direction` sets the colour: `pos` = favorable (teal/green), `neg` = unfavorable (red), `neu` =\\nneutral (grey).\\n\\nExamples:\\n\\n- `dac1_pl1_pos` - `ac1 − pl1`, absolute, favorable when positive (actual beat plan).\\n- `drac1_pp1_neg` - `(ac1 − pp1) / pp1`, relative %, unfavorable when positive (e.g. cost growth).\\n- `dac1_fc1_neu` - `ac1 − fc1`, absolute, neutral colour.\\n\\n**Direction encodes good/bad _impact_, not the raw sign.** A cost _decrease_ is favorable (`pos`,\\nteal) even though the number is negative - so you must know each measure's **polarity**: is \\\"more\\\"\\nbetter (revenue) or worse (cost)? This is a business decision: if the favorable sign is ambiguous,\\nask - don't assume. (And these are _impact_ colours, **not** traffic lights - IBCS bans those.)\\n\\n## Analysis notations (time & structure)\\n\\nWhen the question is a _derived_ time view - year-to-date, year-to-go, a moving total, an average -\\nbino renders the IBCS analysis notation on the period label automatically. These are real features\\n(the engine's date-link rule set renders them), not decoration:\\n\\n| Analysis            | Notation               | Example                |\\n| ------------------- | ---------------------- | ---------------------- |\\n| YTD accumulation    | `_` **prefix**         | `_Jun 2021`            |\\n| Year-to-go (YTG)    | `_` **suffix**         | `Jun 2021_`            |\\n| Moving annual total | `~` **prefix**         | `~Jun 2021`            |\\n| Average             | `Ø`                    | `ØJun 2021`, `ØEurope` |\\n| Span / interval     | `..`                   | `Jan..Mar`             |\\n| First / last day    | leading / trailing `.` | `.2021` / `2021.`      |\\n\\nReach for these when the brief asks for an accumulated, projected, or smoothed view rather than the\\nraw period. Confirm the component's support with `outline_kind` before authoring.\\n\\n## Choosing a component\\n\\nPick by the _question_, not by habit:\\n\\n| Use                | When                                                                                                                                                          |\\n| ------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------- |\\n| **Table**          | Detailed comparison across a categorical dimension, drill-down (thereof / partof), and explicit variance columns. The IBCS default for \\\"show me the numbers.\\\" |\\n| **ChartTime**      | A **time** dimension (a date field): trends across year / quarter / month / week / day. Bars by default; lines for many points.                               |\\n| **ChartStructure** | A categorical / structural breakdown **without** time (e.g. by region, product) - a bar chart over a set.                                                     |\\n\\nConfirm the exact kind names and fields with `list_kinds` / `outline_kind` - this list is the\\nguidance, the schema is the contract.\\n\\n## Narrative - data-aware Text\\n\\n`Text` (the `bn-text` component) renders commentary with live data interpolation, so the prose stays\\ntrue to the numbers:\\n\\n```\\n${data.<dataset>[<index>].<field>}      e.g.  Revenue reached ${data.kpi[0].ac1}\\n${t('<i18n-key>')}                       e.g.  ${t('report.title')}\\n```\\n\\n- Nothing is evaluated: a placeholder is a lookup, not JavaScript. Any other `${...}` (arithmetic,\\n  method calls, conditions) is printed as written, so compute such values in the DataSet SQL.\\n- A safe subset of HTML is allowed (`b`, `i`, `strong`, `em`, `span`, `p`, `br`, `table`, `ul`, `h1`-`h6`,\\n  `a`, `img`, …) with `class`/`href`/`src`/… attributes; `style` is kept only when it is exactly\\n  `text-align: left`, `center` or `right`. An element that is not allowed is removed together with its\\n  content.\\n- **Ground every claim in the data.** Before writing a number into narrative, confirm it with\\n  `get_rows(<dataset>)`. Don't state a takeaway the data doesn't support.\\n\\n## Putting it together\\n\\nWhen you model a report: map raw columns onto the scenario codes (`ac/pp/fc/pl`), derive the\\nvariances the message needs (`d_`/`dr_` with the right direction), choose the component that answers\\nthe question, and tie any narrative back to the report's primary message - with each number verified\\nagainst the dataset.\\n\\n## IBCS self-audit (the author-owned checks)\\n\\nBefore calling a report IBCS-compliant, run the items you actually own (CHECK/CONDENSE/SIMPLIFY are\\nengine-enforced - see `references/ibcs-standard.md` §10 for the full list):\\n\\n- **SAY** - the primary message is a _full sentence_ in the title/headline, said first; every number\\n  in the narrative is grounded with `get_rows`.\\n- **STRUCTURE** - the breakdown is **MECE** (categories don't overlap and together cover the whole).\\n- **UNIFY** - scenario codes correct (`ac/pp/fc/pl`); variance `direction` = impact not sign, polarity\\n  respected; analysis notations (`_`/`~`/`Ø`/`..`) used where the question calls for them.\\n- **EXPRESS** - the component fits the question (Table / ChartTime / ChartStructure / Tree).\\n- **SIMPLIFY** - colour is used only for semantics, never decoration.\\n\\n---\\n\\n# Engine data model - reference for the bino-ibcs skill\\n\\n> Excerpt **copied from the bn-template-engine repository**, file `doc/data-model.md`, at commit\\n> `1ff628c`. The engine is the renderer bino drives; this is the row shape its components read.\\n> **Refresh this file when the engine's data model changes.** Loaded on demand; the skill body\\n> (`../SKILL.md`) is the always-in-context rubric. The public summary lives at\\n> https://cli.bino.bi/concepts/data-model/ and https://cli.bino.bi/reference/dataset/.\\n\\n## Overview\\n\\nEach row in a dataset represents a data point with:\\n\\n- **Dimensions** - categorical fields for grouping and labeling (`category`, `rowGroup`, …)\\n- **Scenarios** - numeric values for different business scenarios (actual, plan, forecast, previous period)\\n- **Operation** - whether the row adds (`\\\"+\\\"`) or subtracts (`\\\"-\\\"`) in aggregations\\n\\n## Scenarios\\n\\nFour scenario families, each with up to four slots:\\n\\n| Family                   | Slots                      | Description             | IBCS visual     |\\n| ------------------------ | -------------------------- | ----------------------- | --------------- |\\n| **Actual (AC)**          | `ac1`, `ac2`, `ac3`, `ac4` | Realized values         | Solid dark bars |\\n| **Previous Period (PP)** | `pp1`, `pp2`, `pp3`, `pp4` | Prior period comparison | Light gray bars |\\n| **Forecast (FC)**        | `fc1`, `fc2`, `fc3`, `fc4` | Projected values        | Hatched bars    |\\n| **Plan (PL)**            | `pl1`, `pl2`, `pl3`, `pl4` | Target / budget values  | Outlined bars   |\\n\\nA `pp` slot need not come from the source: the DataSet declares it with `derive:` (bino fills it from\\nanother slot shifted back by `shift` at `grain`) or `assert:` (the query supplies it, bino checks it).\\nIts caption follows the shift - `PY` for a year shift, `PP` otherwise.\\n\\nAll scenario fields are `number | null`. In the engine's queries they are aggregated with the\\noperation sign - `SUM(ac1 * sign(operation))` where `\\\"+\\\"` is `1` and `\\\"-\\\"` is `-1`:\\n\\n```json\\n[\\n  {\\n    \\\"category\\\": \\\"Product Sales\\\",\\n    \\\"operation\\\": \\\"+\\\",\\n    \\\"ac1\\\": 150000,\\n    \\\"pp1\\\": 140000,\\n    \\\"pl1\\\": 145000\\n  },\\n  {\\n    \\\"category\\\": \\\"Discounts\\\",\\n    \\\"operation\\\": \\\"-\\\",\\n    \\\"ac1\\\": 12000,\\n    \\\"pp1\\\": 10000,\\n    \\\"pl1\\\": 11000\\n  },\\n  {\\n    \\\"category\\\": \\\"Services\\\",\\n    \\\"operation\\\": \\\"+\\\",\\n    \\\"ac1\\\": 90000,\\n    \\\"pp1\\\": 85000,\\n    \\\"pl1\\\": 88000\\n  }\\n]\\n```\\n\\n## Variances\\n\\nVariance columns are computed from scenario pairs and follow one naming pattern:\\n\\n```\\n{type}{base}_{delta}_{direction}\\n```\\n\\n| Part        | Values              | Meaning                                                            |\\n| ----------- | ------------------- | ------------------------------------------------------------------ |\\n| `type`      | `d` or `dr`         | `d` = absolute difference, `dr` = relative (percentage)            |\\n| `base`      | `ac1`..`pl4`        | The primary scenario (minuend)                                     |\\n| `delta`     | `ac1`..`pl4`        | The comparison scenario (subtrahend)                               |\\n| `direction` | `pos`, `neg`, `neu` | Favorable, unfavorable, or neutral when the difference is positive |\\n\\nExamples:\\n\\n| Variance        | Meaning                                                |\\n| --------------- | ------------------------------------------------------ |\\n| `dac1_pl1_pos`  | Absolute: AC1 minus PL1, favorable when positive       |\\n| `drac1_pp1_neg` | Relative: (AC1 − PP1) / PP1, unfavorable when positive |\\n| `dac1_fc1_neu`  | Absolute: AC1 minus FC1, neutral (no color coding)     |\\n\\nThe `direction` determines the IBCS color coding in charts and tables:\\n\\n- `pos` - green/teal when the value is favorable (a positive difference is good)\\n- `neg` - red when the value is unfavorable (a positive difference is bad)\\n- `neu` - gray, no direction judgment\\n\\nComponents take the variances to display as a list of these tokens (in bino: the component's\\n`variances` spec field, e.g. `variances: [dac1_pl1_pos, drac1_pl1_pos]`).\\n\\n## Dimensions\\n\\n### Row grouping (hierarchical)\\n\\nRows can be organized into a three-level hierarchy:\\n\\n| Field              | Type     | Description                                         |\\n| ------------------ | -------- | --------------------------------------------------- |\\n| `rowGroup`         | `string` | Primary grouping (e.g. \\\"Revenue\\\", \\\"Costs\\\")          |\\n| `rowGroupIndex`    | `number` | Sort order for row groups                           |\\n| `category`         | `string` | Dimension within a row group (e.g. \\\"Product Sales\\\") |\\n| `categoryIndex`    | `number` | Sort order for categories                           |\\n| `subCategory`      | `string` | Detail dimension for drill-down (\\\"thereof\\\" rows)    |\\n| `subCategoryIndex` | `number` | Sort order for subcategories                        |\\n\\n```\\nrowGroup: \\\"Revenue\\\"\\n├── category: \\\"Product Sales\\\"\\n│   ├── subCategory: \\\"Electronics\\\"\\n│   └── subCategory: \\\"Furniture\\\"\\n└── category: \\\"Services\\\"\\n```\\n\\n### Column grouping\\n\\nFor multi-dimensional tables:\\n\\n| Field                 | Type     | Description                      |\\n| --------------------- | -------- | -------------------------------- |\\n| `columnGroup`         | `string` | Column-level grouping            |\\n| `columnGroupIndex`    | `number` | Sort order for column groups     |\\n| `columnSubGroup`      | `string` | Column sub-grouping              |\\n| `columnSubGroupIndex` | `number` | Sort order for column sub-groups |\\n\\n### Temporal dimension\\n\\n| Field  | Type     | Description                                |\\n| ------ | -------- | ------------------------------------------ |\\n| `date` | `string` | ISO 8601 date string (e.g. `\\\"2024-01-15\\\"`) |\\n\\nUsed by `ChartTime` for time series; its `dateInterval` field controls the aggregation level (year,\\nquarter, month, …).\\n\\n### Other fields\\n\\n| Field       | Type     | Description                                                    |\\n| ----------- | -------- | -------------------------------------------------------------- |\\n| `setname`   | `string` | Dataset identifier (used by structure charts)                  |\\n| `operation` | `string` | `\\\"+\\\"` (default) or `\\\"-\\\"` - determines the sign in aggregations |\\n\\n### Custom fields\\n\\nRows may carry additional user-defined fields prefixed with an underscore (e.g. `_region`,\\n`_product`). They pass through untouched and can be shown by `Table` via its `attributes` field.\\nStandard visualization queries ignore them.\\n\\n---\\n\\n# IBCS® Standard - reference for the bino-ibcs skill\\n\\n> Deep reference bundled with the `bino-ibcs` skill, loaded **on demand**. The skill body\\n> (`../SKILL.md`) is the always-in-context rubric; read this file when you need the full IBCS\\n> rationale behind a rule, the SUCCESS rule codes, or the standard concepts bino does not yet model.\\n>\\n> Distilled from **IBCS Standards v1.2 (2022-01-28)** and the IBCS Work Group 1 discussion paper\\n> _\\\"Semantic notation concept for more scenarios per scenario type\\\"_. IBCS® is a registered trademark\\n> of the IBCS Association; the standard is published under CC BY-SA 4.0 (ibcs.com/standards). This is a\\n> working reference, not the licensed text - cite the official standard for definitive wording.\\n\\n---\\n\\n## How this maps to bino (read first)\\n\\nbino renders IBCS notation **by construction**: you choose components and name columns by IBCS code,\\nand the engine draws the correct fills, colours, and order. So most of this reference is _grounding_ -\\nthe \\\"why\\\" - and a few sections are **author decisions**. The bridges between IBCS wording and bino's\\nconcrete model:\\n\\n| IBCS standard says                                                 | In bino it is                                                                                                                              |\\n| ------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------ |\\n| Scenario codes AC / PY / PL / BU / FC                              | `ac` / `pp` (alias `py`) / `pl` (alias `bu`) / `fc` - the engine's scenario codes. **`PY → pp`, `BU → pl`.**                               |\\n| Solid / lighter-solid / hatched / outlined fills                   | `colorIndex` 10 (ac) / 20 (pp) / 30 (fc) / 50 (pl) - applied automatically from the code.                                                  |\\n| Variance `ΔPL` = AC − PL (Δ + subtrahend)                          | column code `d{base}_{delta}_{direction}`, e.g. `dac1_pl1_pos` (base = minuend, delta = subtrahend). **Same meaning, different notation.** |\\n| Positive/negative/neutral impact = green/red/blue                  | the `direction` suffix `pos` / `neg` / `neu`.                                                                                              |\\n| WG1 \\\"more scenarios per scenario type\\\" (AC1, AC2 …)                | the numbered slots `ac1…ac4`, `fc1…fc4`, `pl1…pl4`, `pp1…pp4`.                                                                             |\\n| Time-series analyses (`_` YTD, `~` moving, `Ø` average, `..` span) | the engine's date-link format rules - bino renders these on period labels.                                                                 |\\n| Identical scale across charts (CH 4.1)                             | the **`ScalingGroup`** kind.                                                                                                               |\\n| EXPRESS bans (no pie / gauge / radar / funnel / traffic light)     | **satisfied by construction** - bino offers no such component.                                                                             |\\n| References/benchmarks in a distinct violet base colour (WG1 §6)    | **not yet modeled in bino** - standard context only, not an authoring directive.                                                           |\\n\\n> Source of truth (cite, don't copy): `data-model.md` in this directory (the engine's row shape,\\n> stamped with the engine commit it was copied from) and https://cli.bino.bi/concepts/data-model/.\\n\\n---\\n\\n## 0. Mental model\\n\\nIBCS = **a notation, not a template.** Its guiding maxim:\\n\\n> **\\\"Things that mean the same should look the same.\\\"** (semantic notation)\\n\\nA _report_ (broad sense) is a **communication product** → made of **pages** → containing **objects**\\n(charts, tables, text, pictures) → built from **elements** (columns, bars, lines, axes, labels) plus\\n**general elements** (titles, footnotes, messages). Compliance is judged at every level.\\n\\n> → in bino: a report is `ReportArtefact` → `LayoutPage`(s) → embeddables (`Table`, `ChartTime`,\\n> `ChartStructure`, `Tree`, `Text`), arranged with `LayoutCard` / `Grid`. \\\"Compliance at every level\\\"\\n> maps to the four validation layers (schema, IBCS, build-readiness, acceptance).\\n\\nThree rule families, mapped onto the SUCCESS letters:\\n\\n| Family         | Letters                            | Origin / basis                         | Concern                                           |\\n| -------------- | ---------------------------------- | -------------------------------------- | ------------------------------------------------- |\\n| **Conceptual** | SAY, STRUCTURE                     | Minto's _Pyramid Principle_            | What you say and how content is organized         |\\n| **Semantic**   | UNIFY                              | Hichert's semantic notation            | Uniform visual language (the IBCS differentiator) |\\n| **Perceptual** | EXPRESS, CHECK, CONDENSE, SIMPLIFY | Playfair, Brinton, Zelazny, Tufte, Few | How it is drawn and perceived                     |\\n\\nUNIFY is the **umbrella over all other areas** - it is what sets IBCS apart.\\n\\n---\\n\\n## 1. The SUCCESS formula (7 building blocks)\\n\\n|       | Letter    | Block                        | One-line intent                                                                  | Owner in bino                          |\\n| ----- | --------- | ---------------------------- | -------------------------------------------------------------------------------- | -------------------------------------- |\\n| **S** | SAY       | Convey a message             | Every real report carries a message + evidence.                                  | **author**                             |\\n| **U** | UNIFY     | Apply semantic notation      | Things that mean the same look the same - terms, measures, scenarios, variances. | **author** (codes) + engine (drawing)  |\\n| **C** | CONDENSE  | Increase information density | Everything needed on one page; small but recognizable objects.                   | author (layout) + engine               |\\n| **C** | CHECK     | Ensure visual integrity      | Truthful, undistorted visuals - no truncated axes, misleading scaling.           | **engine-enforced** (+ `ScalingGroup`) |\\n| **E** | EXPRESS   | Choose proper visualization  | Pick the object that conveys message + facts most intuitively.                   | **author** (component choice)          |\\n| **S** | SIMPLIFY  | Avoid clutter                | Remove anything complicated, redundant, decorative.                              | engine + author (no decoration)        |\\n| **S** | STRUCTURE | Organize content             | Logical, consistent, exhaustive **without overlap** (MECE).                      | **author**                             |\\n\\n> → in bino: the author owns **SAY, UNIFY (codes), EXPRESS, STRUCTURE**. **CHECK / CONDENSE /\\n> SIMPLIFY** are largely guaranteed by the engine's IBCS-native components - flag only authoring-level\\n> violations (e.g. decorative colour, a non-MECE breakdown), not things bino cannot do wrong.\\n\\n---\\n\\n## 2. UNIFY - semantic notation (the core)\\n\\nThe section to get exactly right; it is where most \\\"looks IBCS / isn't IBCS\\\" judgments are made.\\n\\n### 2.1 Scenarios - the data layers (UN 3.2)\\n\\nScenarios (a.k.a. data types / versions) are layers of the business model. **Recognizable by area fill\\nalone, without reading labels.** Three base types:\\n\\n| Base type               | Meaning                                                | Examples | Fill notation                                                                              |\\n| ----------------------- | ------------------------------------------------------ | -------- | ------------------------------------------------------------------------------------------ |\\n| **Actual / measured**   | Things that already happened                           | AC, PY   | **Solid dark fill**. Earlier-period actuals (scenario comparison) use a **lighter solid**. |\\n| **Forecast / expected** | Expected, based on measured data, not yet materialized | FC       | **Hatched** (outlined + diagonal stripes); stripe colour = the measured-data colour.       |\\n| **Plan / fictitious**   | Fictitious, not-yet-materialized data                  | PL, BU   | **Outlined / hollow** (bordered, empty); \\\"fills up when materializing.\\\"                    |\\n\\nMnemonic: **solid = real, hollow = planned, hatched = forecast.** Forecast sits _between_ actual and\\nplan (higher certainty than plan, not yet fully materialized).\\n\\nStandard two-letter codes: **AC** Actual, **PY** Previous Year, **PL** Plan, **BU** Budget,\\n**FC** Forecast.\\n\\n> → in bino: codes are `ac`, `pp` (Previous **Period** - the canonical name; `py` is an alias), `pl`\\n> (`bu` alias), `fc`. Fills are applied automatically via `colorIndex` (ac 10 / pp 20 / fc 30 / pl 50)\\n> by the engine's rule set. Column display order follows IBCS: **`pp < pl < fc < ac`** (sortIndex 100 / 200\\n> / 300 / 400). Name a DataSet's measure columns with these prefixes and bino does the rest.\\n\\n> Benchmarks (competitor, market average) may also be treated as scenarios. WG1 (§6) recommends\\n> rendering external **references/benchmarks in a distinct base colour - violet**.\\n> → in bino: **not yet modeled** - there is no violet/benchmark scenario in the engine's rule set. Treat as\\n> standard context, not an authoring instruction.\\n\\n### 2.2 Variances - the analysis (UN 4.1)\\n\\nA variance compares two scenarios. Two kinds:\\n\\n- **Absolute variance** = difference of two values. Notation: `Δ` + the _subtrahend_. `ΔPL` = AC − PL.\\n  Drawn as **variance columns/bars** - _same width and scale_ as the base columns/bars.\\n- **Relative variance** = absolute variance as % of the subtrahend (`ΔPL%`). Drawn as **thin pins**\\n  (~⅓ width of base bars).\\n\\n> → in bino: a variance is a column code `d{base}_{delta}_{direction}` (absolute) or\\n> `dr{base}_{delta}_{direction}` (relative). `dac1_pl1_pos` = `ac1 − pl1`, favorable when positive.\\n> The IBCS `ΔPL` label names the **subtrahend**; the bino code names **both** (base = minuend, delta =\\n> subtrahend). See `data-model.md` (Variances).\\n\\n**The variance colour rule (memorize):**\\n\\n| Impact on business goal | Colour    | Mono fallback |\\n| ----------------------- | --------- | ------------- |\\n| **Positive** (good)     | **Green** | light grey    |\\n| **Negative** (bad)      | **Red**   | dark grey     |\\n| **Neutral**             | **Blue**  | medium grey   |\\n\\nCritical nuances:\\n\\n- Colour encodes **good/bad impact, not sign.** A _cost decrease_ is positive impact → green, even\\n  though the number is negative. Know each measure's **polarity** (\\\"more is better\\\" vs \\\"less is\\n  better\\\"). → in bino, this is the `pos` / `neg` / `neu` suffix, and it is a **business decision** -\\n  if the favorable sign is ambiguous, ask the human, don't assume.\\n- These variance colours are **not traffic lights** (traffic lights are banned - EX 2.5).\\n- Absolute variance of a percentage = **percentage points (pp)**: AC 50% − PL 40% = +10pp.\\n- Relative variance that can't be interpreted (positive vs negative denominator) → show **\\\"n.a.\\\"**\\n- Positive variances carry an explicit **`+`** sign (`+13`, `+13%`).\\n- Variance **data labels go outside** the element, aligned to the direction of increase/decrease.\\n\\n### 2.3 Time vs. structure orientation (UN 3.3 / 3.4)\\n\\n- **Time series → horizontal axis** (charts), **columns** (tables). Time flows **left → right**.\\n- **Structure (dimensions) → vertical axis** (charts), **rows** (tables).\\n- Period abbreviations: ISO 8601 `YYYY-MM-DD` preferred. Leading `.` = first day, trailing `.` = last\\n  day, `..` = span (`Jan..Mar`).\\n\\n> → in bino: **`ChartTime`** is the time-on-horizontal component; **`ChartStructure`** is the\\n> structure (categorical) component; **`Table`** puts time in columns, structure in rows. Period labels\\n> are formatted per granularity by `_dateFormat` (`YYYY`, `Q[Q] YYYY`, `MMM YYYY`, `[KW]WW YYYY`,\\n> `DD.MM.YYYY`).\\n\\n### 2.4 Measures (UN 3.1)\\n\\n- **Basic/value measures** → full-width columns / thick lines.\\n- **Ratios** → thin columns (~⅓ width) / thin lines (~50%).\\n\\n### 2.5 Time-series & structure analyses (UN 4.2 / 4.3)\\n\\nLightweight notations layered onto period/element names:\\n\\n| Analysis             | Notation                                      | Example           |\\n| -------------------- | --------------------------------------------- | ----------------- |\\n| YTD accumulation     | underscore **prefix**                         | `_Jun 2021`       |\\n| YTD average          | `_` prefix + `Ø`                              | `Ø_Jun 2021`      |\\n| YTD last-date value  | `_` prefix + trailing `.`                     | `_Jun 2021.`      |\\n| Year-to-go (YTG)     | underscore **suffix**                         | `Jun 2021_`       |\\n| Moving (prev. 12 mo) | tilde **prefix** `~`                          | `~Jun 2021` (MAT) |\\n| Structural average   | `Ø` prefix or suffix                          | `ØEurope`         |\\n| Ranking              | arrow `↑`/`↓` suffix                          | `product sales↑`  |\\n| Index                | black arrowhead at index point + `100%` label | reference = 100   |\\n\\n> → in bino: these are **real, renderable features** - the engine's date-link format rules\\n> define `ytd: \\\"_[DATE]\\\"`, `ytg: \\\"[DATE]_\\\"`, `mat: \\\"~[DATE]\\\"`, `avg: \\\"Ø[DATE]\\\"`, `interval`\\n> (`[DATE]..[DATE]`), `start`/`end` (`.[DATE]` / `[DATE].`), `cum` (`[DATE]_[DATE]`). When the question\\n> is a YTD / year-to-go / moving / average view, reach for them. Confirm the component's support via\\n> `outline_kind` before authoring.\\n\\n### 2.6 Highlighting & scaling indicators (UN 5.1 / 5.2 / 5.3)\\n\\n- **Assisting lines/areas**, **difference markers** (green/red/blue by impact), **trend arrows**\\n  (annotate method, e.g. `CAGR: 10.8%`), **highlighting ellipse** (usually **blue**), **reference\\n  arrowhead** (marks an index/benchmark line), **scaling line / scale band** (show two charts share a\\n  scale; **outlier indicators** for unimportant outliers instead of rescaling the whole chart).\\n\\n> → in bino: shared scale across charts is the **`ScalingGroup`** kind (CH 4.1). Use it instead of\\n> rescaling, so comparable charts read on one scale.\\n\\n### 2.7 General unification (UN 1 / UN 2)\\n\\nUnify terms & abbreviations; numbers, units, dates; and the **position** of messages, titles,\\nlegends, labels, comments, footnotes - consistently across the whole report family.\\n\\n---\\n\\n## 3. WG1 extension - more scenarios per scenario type\\n\\nThe base AC/PL/FC notation distinguishes three states. WG1 proposes orthogonal refinements so _many_\\nscenarios of the same type can coexist, each varied **within** the base notation:\\n\\n| Refinement         | Question                             | Visual mechanism           | Increase direction     |\\n| ------------------ | ------------------------------------ | -------------------------- | ---------------------- |\\n| **Time gradation** | different _timeliness_               | colour saturation in steps | later = darker         |\\n| **Versions**       | different _statuses_ (FC 3+9 vs 6+6) | frame thickness            | higher = thicker frame |\\n| **Variants**       | different _calculation basis_        | pattern density            | more concrete = denser |\\n\\n> → in bino: the numbered slots **`ac1…ac4`, `fc1…fc4`, `pl1…pl4`, `pp1…pp4`** are the practical\\n> realization - `ac1` and `ac2` are two scenarios of the _same_ type. Label/title concept must carry\\n> the extra meaning. **Show at most 3-4 scenarios per visualization** for clarity.\\n\\n---\\n\\n## 4. SAY - convey a message (conceptual)\\n\\nStoryline based on Minto's pyramid: _situation → complication → question → answer (message)_.\\n\\nKey habits: a message is a **complete sentence** (not a topic label); the message goes in the\\n**title/headline**; say the message **first**; provide checkable evidence; name sources.\\n\\n> → in bino: the brief's `primary_message` is the report's message - author it as a full declarative\\n> sentence in the title/headline and the narrative `Text`, and ground every number in the data\\n> (`get_rows`). Validation checks **message↔content coherence**: does the report actually say it?\\n\\n---\\n\\n## 5. STRUCTURE - organize content (conceptual)\\n\\nMECE thinking (mutually exclusive, collectively exhaustive) + deductive/inductive reasoning. Use\\nconsistent items, non-overlapping structures, exhaustive arguments; visualize structure in reports,\\ntables, and notes.\\n\\n> → in bino: the breakdown a `Table` / `ChartStructure` / `Tree` shows must be **MECE** - categories\\n> don't overlap and together cover the whole. \\\"thereof / partof\\\" drill-downs in `Table` express\\n> hierarchy without double-counting.\\n\\n---\\n\\n## 6. EXPRESS - choose proper visualization (perceptual)\\n\\nTime-series & structure analyses → mainly **column, bar, line, pin, waterfall** charts and IBCS\\ntables. **Avoid / replace:** pie & ring (EX 2.1), gauges & speedometers (EX 2.2), radar & funnel\\n(EX 2.3), spaghetti (EX 2.4), **traffic lights** (EX 2.5). Prefer quantitative representations; add\\nscenarios and variances to enrich the analysis.\\n\\n> → in bino: the component set is **fixed and IBCS-native** (`Table`, `ChartTime`, `ChartStructure`,\\n> `Tree`, `Text`) - there is no pie / gauge / radar / funnel, so the EX 2.x bans are **satisfied by\\n> construction**. The author's EXPRESS decision is _which_ of the allowed components answers the\\n> question (see `../SKILL.md` \\\"Choosing a component\\\").\\n\\n---\\n\\n## 7. CHECK - ensure visual integrity (perceptual)\\n\\nThe cardinal sins: truncated value axis, inconsistent scales for the same unit, area/3-D distortion.\\nAxes start at zero (CH 1.1); identical scale per unit (CH 4.1); size charts to the data; use scaling\\n& outlier indicators (CH 4.3 / 4.4).\\n\\n> → in bino: the engine renders integrity-safe (axes are not truncatable, colour is not decorative).\\n> The one author lever is **`ScalingGroup`** for CH 4.1 - put comparable charts in one so they share a\\n> scale rather than each auto-scaling.\\n\\n---\\n\\n## 8. CONDENSE - increase information density (perceptual)\\n\\nSmall fonts / elements / objects; narrow margins; add data points and dimensions; overlay / multi-tier\\ncharts; embed chart elements in tables; small multiples and related charts on one page. Aim:\\neverything needed to understand the content on **one page**.\\n\\n> → in bino: pack a page with `LayoutCard` / `Grid`; prefer a few dense embeddables over many sparse\\n> pages.\\n\\n---\\n\\n## 9. SIMPLIFY - avoid clutter (perceptual)\\n\\nAvoid cluttered layouts, filled/coloured backgrounds, animation; avoid frames, shades, pseudo-3D,\\ndecorative colours & fonts; replace grid lines & value axes with **data labels**; right-align data;\\navoid superfluous words and labels for tiny values.\\n\\n> → in bino: **colour is reserved for semantic meaning** (scenario / variance) - never decoration.\\n> The engine already drops chart-junk; the author's job is to not _add_ it (no decorative colours in\\n> `Text`, no redundant labels).\\n\\n---\\n\\n## 10. Compliance checklist (the IBCS self-audit)\\n\\nRun against every page before declaring it IBCS-compliant. (The `bino-validation` agent runs the\\nauthor-owned items; engine-enforced ones are noted.)\\n\\n**Message (SAY / STRUCTURE)**\\n\\n- [ ] Page carries a message as a **full sentence** in the title, not a topic label.\\n- [ ] Structure is **MECE** - non-overlapping and exhaustive.\\n\\n**Semantic notation (UNIFY)**\\n\\n- [ ] Scenario codes correct & consistent (`ac`/`pp`/`fc`/`pl`), explained in title/legend.\\n- [ ] Variance `direction` = **impact** (`pos` good / `neg` bad / `neu`), not raw sign; measure\\n      polarity respected.\\n- [ ] Analysis notations (`_` YTD, `~` moving, `Ø` average, `..` span) applied where the question\\n      calls for them.\\n\\n**Visualization (EXPRESS)**\\n\\n- [ ] Component fits the question (Table / ChartTime / ChartStructure / Tree). _(Bans engine-enforced.)_\\n\\n**Integrity / density / clarity (CHECK / CONDENSE / SIMPLIFY)**\\n\\n- [ ] Comparable charts share a scale (`ScalingGroup`). _(Axes/colour integrity engine-enforced.)_\\n- [ ] Colour used only for semantics; no decoration. High density, one page where possible.\\n\\n---\\n\\n## 11. Rule-code quick index\\n\\nPrefixes: **SA**=Say, **UN**=Unify, **CO**=Condense, **CH**=Check, **EX**=Express, **SI**=Simplify,\\n**ST**=Structure. (IBCS v1.2 numbers each headline `XX n.m`.)\\n\\n- **SAY:** SA 1-5 · **UNIFY:** UN 1-5 · **CONDENSE:** CO 1-5 · **CHECK:** CH 1-5\\n- **EXPRESS:** EX 1-5 · **SIMPLIFY:** SI 1-5 · **STRUCTURE:** ST 1-5\\n\\n_Sources: IBCS Standards v1.2 (2022-01-28); IBCS Work Group 1, \\\"Semantic notation concept for more\\nscenarios per scenario type.\\\" IBCS® is a registered trademark of the IBCS Association; standard\\npublished under CC BY-SA 4.0._\"}]}"}]},"parent_tool_use_id":null,"session_id":"e47996d3-129a-463f-8313-3b18fb0e5750","uuid":"3c027e19-58d9-49b4-8383-24f74dab12f8","timestamp":"2026-10-21T19:15:29.686Z","tool_use_result":{"contents":[{"uri":"bino://skills/bino-ibcs","mimeType":"text/markdown","text":"# IBCS semantics for bino\n\nbino renders reports to the [IBCS](https://www.ibcs.com/) notation standard. IBCS is a _meaning_\nlayer the JSON Schema can't express: which column is an actual vs a plan, how a variance is named and\ncoloured, which component fits the question. This skill is that rubric. It teaches semantics, not\nstructure - for the exact fields of any kind, always `describe_kind` (see `bino-authoring`).\n\n> Source of truth (cite, don't copy): the bundled `references/data-model.md` (the engine's row\n> shape, stamped with the engine commit it was copied from) and https://cli.bino.bi/concepts/data-model/.\n> For the full IBCS standard (the SUCCESS rules, the rationale, the concepts bino doesn't yet model),\n> read `references/ibcs-standard.md`.\n\n## SUCCESS at a glance\n\nIBCS is the **SUCCESS** framework - seven rule families. bino renders IBCS _by construction_, so some\nfamilies are the engine's job and some are yours:\n\n|       | Family        | What it means                                            | Who owns it in bino                |\n| ----- | ------------- | -------------------------------------------------------- | ---------------------------------- |\n| **S** | **SAY**       | a message as a full sentence, said first, in the title   | **you** (author)                   |\n| **U** | **UNIFY**     | semantic notation - scenarios, variances, units, terms   | **you** (codes) + engine (drawing) |\n| **C** | CONDENSE      | high density; everything on one page                     | you (layout) + engine              |\n| **C** | CHECK         | visual integrity - no truncated axes, one scale per unit | engine + `ScalingGroup`            |\n| **E** | **EXPRESS**   | the right component for the question                     | **you** (component choice)         |\n| **S** | SIMPLIFY      | no clutter; colour only for meaning                      | engine + you (no decoration)       |\n| **S** | **STRUCTURE** | MECE - non-overlapping and exhaustive                    | **you** (author)                   |\n\nYour levers are **SAY, UNIFY, EXPRESS, STRUCTURE**. CHECK / CONDENSE / SIMPLIFY are mostly guaranteed\nby bino's IBCS-native components - flag only authoring-level slips (decorative colour, a non-MECE\nbreakdown), not things bino can't do wrong (it has no pie chart, no truncatable axis).\n\n## Scenarios - the four data families\n\nEvery measure column belongs to a **scenario**. There are four families, each with up to four slots\n(`ac1`…`ac4`):\n\n| Code | Scenario        | Meaning                 | IBCS encoding      |\n| ---- | --------------- | ----------------------- | ------------------ |\n| `ac` | Actual          | realized values         | solid dark fill    |\n| `pp` | Previous Period | prior-period comparison | light-grey fill    |\n| `fc` | Forecast        | projected values        | hatched fill       |\n| `pl` | Plan            | target / budget         | outlined (no fill) |\n\nAliases: `bu` (budget) → `pl`, `py` (prior year) → `pp`.\n\nWhat a `pp` slot compares against is declared on the DataSet (`derive:` or `assert:` with `shift`\nand `grain`), and its caption follows the shift: a year shift is captioned `PY`, anything else `PP`.\n\n**Column display order** follows IBCS: `pp` < `pl` < `fc` < `ac`. When you model a dataset, name the\nmeasure columns with these prefixes so bino applies the right notation automatically.\n\nThe numbered slots are **distinct scenarios of the same type** (IBCS WG1 \"more scenarios per\ntype\"): `ac1` and `ac2` are two different actuals (e.g. two collection dates), not a typo. Keep it to\n**3-4 scenarios per visualization** for clarity, and let the title carry what each slot means.\n\n## Variances - comparing two scenarios\n\nA variance column compares two scenarios. The naming convention is:\n\n```\n{type}{base}_{delta}_{direction}\n```\n\n| Part        | Values                | Meaning                                         |\n| ----------- | --------------------- | ----------------------------------------------- |\n| `type`      | `d` / `dr`            | `d` = absolute delta; `dr` = relative (%) delta |\n| `base`      | `ac1`…`pl4`           | the value subtracted **from** (minuend)         |\n| `delta`     | `ac1`…`pl4`           | the value subtracted (subtrahend)               |\n| `direction` | `pos` / `neg` / `neu` | which sign is _good_                            |\n\n`direction` sets the colour: `pos` = favorable (teal/green), `neg` = unfavorable (red), `neu` =\nneutral (grey).\n\nExamples:\n\n- `dac1_pl1_pos` - `ac1 − pl1`, absolute, favorable when positive (actual beat plan).\n- `drac1_pp1_neg` - `(ac1 − pp1) / pp1`, relative %, unfavorable when positive (e.g. cost growth).\n- `dac1_fc1_neu` - `ac1 − fc1`, absolute, neutral colour.\n\n**Direction encodes good/bad _impact_, not the raw sign.** A cost _decrease_ is favorable (`pos`,\nteal) even though the number is negative - so you must know each measure's **polarity**: is \"more\"\nbetter (revenue) or worse (cost)? This is a business decision: if the favorable sign is ambiguous,\nask - don't assume. (And these are _impact_ colours, **not** traffic lights - IBCS bans those.)\n\n## Analysis notations (time & structure)\n\nWhen the question is a _derived_ time view - year-to-date, year-to-go, a moving total, an average -\nbino renders the IBCS analysis notation on the period label automatically. These are real features\n(the engine's date-link rule set renders them), not decoration:\n\n| Analysis            | Notation               | Example                |\n| ------------------- | ---------------------- | ---------------------- |\n| YTD accumulation    | `_` **prefix**         | `_Jun 2021`            |\n| Year-to-go (YTG)    | `_` **suffix**         | `Jun 2021_`            |\n| Moving annual total | `~` **prefix**         | `~Jun 2021`            |\n| Average             | `Ø`                    | `ØJun 2021`, `ØEurope` |\n| Span / interval     | `..`                   | `Jan..Mar`             |\n| First / last day    | leading / trailing `.` | `.2021` / `2021.`      |\n\nReach for these when the brief asks for an accumulated, projected, or smoothed view rather than the\nraw period. Confirm the component's support with `outline_kind` before authoring.\n\n## Choosing a component\n\nPick by the _question_, not by habit:\n\n| Use                | When                                                                                                                                                          |\n| ------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| **Table**          | Detailed comparison across a categorical dimension, drill-down (thereof / partof), and explicit variance columns. The IBCS default for \"show me the numbers.\" |\n| **ChartTime**      | A **time** dimension (a date field): trends across year / quarter / month / week / day. Bars by default; lines for many points.                               |\n| **ChartStructure** | A categorical / structural breakdown **without** time (e.g. by region, product) - a bar chart over a set.                                                     |\n\nConfirm the exact kind names and fields with `list_kinds` / `outline_kind` - this list is the\nguidance, the schema is the contract.\n\n## Narrative - data-aware Text\n\n`Text` (the `bn-text` component) renders commentary with live data interpolation, so the prose stays\ntrue to the numbers:\n\n```\n${data.<dataset>[<index>].<field>}      e.g.  Revenue reached ${data.kpi[0].ac1}\n${t('<i18n-key>')}                       e.g.  ${t('report.title')}\n```\n\n- Nothing is evaluated: a placeholder is a lookup, not JavaScript. Any other `${...}` (arithmetic,\n  method calls, conditions) is printed as written, so compute such values in the DataSet SQL.\n- A safe subset of HTML is allowed (`b`, `i`, `strong`, `em`, `span`, `p`, `br`, `table`, `ul`, `h1`-`h6`,\n  `a`, `img`, …) with `class`/`href`/`src`/… attributes; `style` is kept only when it is exactly\n  `text-align: left`, `center` or `right`. An element that is not allowed is removed together with its\n  content.\n- **Ground every claim in the data.** Before writing a number into narrative, confirm it with\n  `get_rows(<dataset>)`. Don't state a takeaway the data doesn't support.\n\n## Putting it together\n\nWhen you model a report: map raw columns onto the scenario codes (`ac/pp/fc/pl`), derive the\nvariances the message needs (`d_`/`dr_` with the right direction), choose the component that answers\nthe question, and tie any narrative back to the report's primary message - with each number verified\nagainst the dataset.\n\n## IBCS self-audit (the author-owned checks)\n\nBefore calling a report IBCS-compliant, run the items you actually own (CHECK/CONDENSE/SIMPLIFY are\nengine-enforced - see `references/ibcs-standard.md` §10 for the full list):\n\n- **SAY** - the primary message is a _full sentence_ in the title/headline, said first; every number\n  in the narrative is grounded with `get_rows`.\n- **STRUCTURE** - the breakdown is **MECE** (categories don't overlap and together cover the whole).\n- **UNIFY** - scenario codes correct (`ac/pp/fc/pl`); variance `direction` = impact not sign, polarity\n  respected; analysis notations (`_`/`~`/`Ø`/`..`) used where the question calls for them.\n- **EXPRESS** - the component fits the question (Table / ChartTime / ChartStructure / Tree).\n- **SIMPLIFY** - colour is used only for semantics, never decoration.\n\n---\n\n# Engine data model - reference for the bino-ibcs skill\n\n> Excerpt **copied from the bn-template-engine repository**, file `doc/data-model.md`, at commit\n> `1ff628c`. The engine is the renderer bino drives; this is the row shape its components read.\n> **Refresh this file when the engine's data model changes.** Loaded on demand; the skill body\n> (`../SKILL.md`) is the always-in-context rubric. The public summary lives at\n> https://cli.bino.bi/concepts/data-model/ and https://cli.bino.bi/reference/dataset/.\n\n## Overview\n\nEach row in a dataset represents a data point with:\n\n- **Dimensions** - categorical fields for grouping and labeling (`category`, `rowGroup`, …)\n- **Scenarios** - numeric values for different business scenarios (actual, plan, forecast, previous period)\n- **Operation** - whether the row adds (`\"+\"`) or subtracts (`\"-\"`) in aggregations\n\n## Scenarios\n\nFour scenario families, each with up to four slots:\n\n| Family                   | Slots                      | Description             | IBCS visual     |\n| ------------------------ | -------------------------- | ----------------------- | --------------- |\n| **Actual (AC)**          | `ac1`, `ac2`, `ac3`, `ac4` | Realized values         | Solid dark bars |\n| **Previous Period (PP)** | `pp1`, `pp2`, `pp3`, `pp4` | Prior period comparison | Light gray bars |\n| **Forecast (FC)**        | `fc1`, `fc2`, `fc3`, `fc4` | Projected values        | Hatched bars    |\n| **Plan (PL)**            | `pl1`, `pl2`, `pl3`, `pl4` | Target / budget values  | Outlined bars   |\n\nA `pp` slot need not come from the source: the DataSet declares it with `derive:` (bino fills it from\nanother slot shifted back by `shift` at `grain`) or `assert:` (the query supplies it, bino checks it).\nIts caption follows the shift - `PY` for a year shift, `PP` otherwise.\n\nAll scenario fields are `number | null`. In the engine's queries they are aggregated with the\noperation sign - `SUM(ac1 * sign(operation))` where `\"+\"` is `1` and `\"-\"` is `-1`:\n\n```json\n[\n  {\n    \"category\": \"Product Sales\",\n    \"operation\": \"+\",\n    \"ac1\": 150000,\n    \"pp1\": 140000,\n    \"pl1\": 145000\n  },\n  {\n    \"category\": \"Discounts\",\n    \"operation\": \"-\",\n    \"ac1\": 12000,\n    \"pp1\": 10000,\n    \"pl1\": 11000\n  },\n  {\n    \"category\": \"Services\",\n    \"operation\": \"+\",\n    \"ac1\": 90000,\n    \"pp1\": 85000,\n    \"pl1\": 88000\n  }\n]\n```\n\n## Variances\n\nVariance columns are computed from scenario pairs and follow one naming pattern:\n\n```\n{type}{base}_{delta}_{direction}\n```\n\n| Part        | Values              | Meaning                                                            |\n| ----------- | ------------------- | ------------------------------------------------------------------ |\n| `type`      | `d` or `dr`         | `d` = absolute difference, `dr` = relative (percentage)            |\n| `base`      | `ac1`..`pl4`        | The primary scenario (minuend)                                     |\n| `delta`     | `ac1`..`pl4`        | The comparison scenario (subtrahend)                               |\n| `direction` | `pos`, `neg`, `neu` | Favorable, unfavorable, or neutral when the difference is positive |\n\nExamples:\n\n| Variance        | Meaning                                                |\n| --------------- | ------------------------------------------------------ |\n| `dac1_pl1_pos`  | Absolute: AC1 minus PL1, favorable when positive       |\n| `drac1_pp1_neg` | Relative: (AC1 − PP1) / PP1, unfavorable when positive |\n| `dac1_fc1_neu`  | Absolute: AC1 minus FC1, neutral (no color coding)     |\n\nThe `direction` determines the IBCS color coding in charts and tables:\n\n- `pos` - green/teal when the value is favorable (a positive difference is good)\n- `neg` - red when the value is unfavorable (a positive difference is bad)\n- `neu` - gray, no direction judgment\n\nComponents take the variances to display as a list of these tokens (in bino: the component's\n`variances` spec field, e.g. `variances: [dac1_pl1_pos, drac1_pl1_pos]`).\n\n## Dimensions\n\n### Row grouping (hierarchical)\n\nRows can be organized into a three-level hierarchy:\n\n| Field              | Type     | Description                                         |\n| ------------------ | -------- | --------------------------------------------------- |\n| `rowGroup`         | `string` | Primary grouping (e.g. \"Revenue\", \"Costs\")          |\n| `rowGroupIndex`    | `number` | Sort order for row groups                           |\n| `category`         | `string` | Dimension within a row group (e.g. \"Product Sales\") |\n| `categoryIndex`    | `number` | Sort order for categories                           |\n| `subCategory`      | `string` | Detail dimension for drill-down (\"thereof\" rows)    |\n| `subCategoryIndex` | `number` | Sort order for subcategories                        |\n\n```\nrowGroup: \"Revenue\"\n├── category: \"Product Sales\"\n│   ├── subCategory: \"Electronics\"\n│   └── subCategory: \"Furniture\"\n└── category: \"Services\"\n```\n\n### Column grouping\n\nFor multi-dimensional tables:\n\n| Field                 | Type     | Description                      |\n| --------------------- | -------- | -------------------------------- |\n| `columnGroup`         | `string` | Column-level grouping            |\n| `columnGroupIndex`    | `number` | Sort order for column groups     |\n| `columnSubGroup`      | `string` | Column sub-grouping              |\n| `columnSubGroupIndex` | `number` | Sort order for column sub-groups |\n\n### Temporal dimension\n\n| Field  | Type     | Description                                |\n| ------ | -------- | ------------------------------------------ |\n| `date` | `string` | ISO 8601 date string (e.g. `\"2024-01-15\"`) |\n\nUsed by `ChartTime` for time series; its `dateInterval` field controls the aggregation level (year,\nquarter, month, …).\n\n### Other fields\n\n| Field       | Type     | Description                                                    |\n| ----------- | -------- | -------------------------------------------------------------- |\n| `setname`   | `string` | Dataset identifier (used by structure charts)                  |\n| `operation` | `string` | `\"+\"` (default) or `\"-\"` - determines the sign in aggregations |\n\n### Custom fields\n\nRows may carry additional user-defined fields prefixed with an underscore (e.g. `_region`,\n`_product`). They pass through untouched and can be shown by `Table` via its `attributes` field.\nStandard visualization queries ignore them.\n\n---\n\n# IBCS® Standard - reference for the bino-ibcs skill\n\n> Deep reference bundled with the `bino-ibcs` skill, loaded **on demand**. The skill body\n> (`../SKILL.md`) is the always-in-context rubric; read this file when you need the full IBCS\n> rationale behind a rule, the SUCCESS rule codes, or the standard concepts bino does not yet model.\n>\n> Distilled from **IBCS Standards v1.2 (2022-01-28)** and the IBCS Work Group 1 discussion paper\n> _\"Semantic notation concept for more scenarios per scenario type\"_. IBCS® is a registered trademark\n> of the IBCS Association; the standard is published under CC BY-SA 4.0 (ibcs.com/standards). This is a\n> working reference, not the licensed text - cite the official standard for definitive wording.\n\n---\n\n## How this maps to bino (read first)\n\nbino renders IBCS notation **by construction**: you choose components and name columns by IBCS code,\nand the engine draws the correct fills, colours, and order. So most of this reference is _grounding_ -\nthe \"why\" - and a few sections are **author decisions**. The bridges between IBCS wording and bino's\nconcrete model:\n\n| IBCS standard says                                                 | In bino it is                                                                                                                              |\n| ------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------ |\n| Scenario codes AC / PY / PL / BU / FC                              | `ac` / `pp` (alias `py`) / `pl` (alias `bu`) / `fc` - the engine's scenario codes. **`PY → pp`, `BU → pl`.**                               |\n| Solid / lighter-solid / hatched / outlined fills                   | `colorIndex` 10 (ac) / 20 (pp) / 30 (fc) / 50 (pl) - applied automatically from the code.                                                  |\n| Variance `ΔPL` = AC − PL (Δ + subtrahend)                          | column code `d{base}_{delta}_{direction}`, e.g. `dac1_pl1_pos` (base = minuend, delta = subtrahend). **Same meaning, different notation.** |\n| Positive/negative/neutral impact = green/red/blue                  | the `direction` suffix `pos` / `neg` / `neu`.                                                                                              |\n| WG1 \"more scenarios per scenario type\" (AC1, AC2 …)                | the numbered slots `ac1…ac4`, `fc1…fc4`, `pl1…pl4`, `pp1…pp4`.                                                                             |\n| Time-series analyses (`_` YTD, `~` moving, `Ø` average, `..` span) | the engine's date-link format rules - bino renders these on period labels.                                                                 |\n| Identical scale across charts (CH 4.1)                             | the **`ScalingGroup`** kind.                                                                                                               |\n| EXPRESS bans (no pie / gauge / radar / funnel / traffic light)     | **satisfied by construction** - bino offers no such component.                                                                             |\n| References/benchmarks in a distinct violet base colour (WG1 §6)    | **not yet modeled in bino** - standard context only, not an authoring directive.                                                           |\n\n> Source of truth (cite, don't copy): `data-model.md` in this directory (the engine's row shape,\n> stamped with the engine commit it was copied from) and https://cli.bino.bi/concepts/data-model/.\n\n---\n\n## 0. Mental model\n\nIBCS = **a notation, not a template.** Its guiding maxim:\n\n> **\"Things that mean the same should look the same.\"** (semantic notation)\n\nA _report_ (broad sense) is a **communication product** → made of **pages** → containing **objects**\n(charts, tables, text, pictures) → built from **elements** (columns, bars, lines, axes, labels) plus\n**general elements** (titles, footnotes, messages). Compliance is judged at every level.\n\n> → in bino: a report is `ReportArtefact` → `LayoutPage`(s) → embeddables (`Table`, `ChartTime`,\n> `ChartStructure`, `Tree`, `Text`), arranged with `LayoutCard` / `Grid`. \"Compliance at every level\"\n> maps to the four validation layers (schema, IBCS, build-readiness, acceptance).\n\nThree rule families, mapped onto the SUCCESS letters:\n\n| Family         | Letters                            | Origin / basis                         | Concern                                           |\n| -------------- | ---------------------------------- | -------------------------------------- | ------------------------------------------------- |\n| **Conceptual** | SAY, STRUCTURE                     | Minto's _Pyramid Principle_            | What you say and how content is organized         |\n| **Semantic**   | UNIFY                              | Hichert's semantic notation            | Uniform visual language (the IBCS differentiator) |\n| **Perceptual** | EXPRESS, CHECK, CONDENSE, SIMPLIFY | Playfair, Brinton, Zelazny, Tufte, Few | How it is drawn and perceived                     |\n\nUNIFY is the **umbrella over all other areas** - it is what sets IBCS apart.\n\n---\n\n## 1. The SUCCESS formula (7 building blocks)\n\n|       | Letter    | Block                        | One-line intent                                                                  | Owner in bino                          |\n| ----- | --------- | ---------------------------- | -------------------------------------------------------------------------------- | -------------------------------------- |\n| **S** | SAY       | Convey a message             | Every real report carries a message + evidence.                                  | **author**                             |\n| **U** | UNIFY     | Apply semantic notation      | Things that mean the same look the same - terms, measures, scenarios, variances. | **author** (codes) + engine (drawing)  |\n| **C** | CONDENSE  | Increase information density | Everything needed on one page; small but recognizable objects.                   | author (layout) + engine               |\n| **C** | CHECK     | Ensure visual integrity      | Truthful, undistorted visuals - no truncated axes, misleading scaling.           | **engine-enforced** (+ `ScalingGroup`) |\n| **E** | EXPRESS   | Choose proper visualization  | Pick the object that conveys message + facts most intuitively.                   | **author** (component choice)          |\n| **S** | SIMPLIFY  | Avoid clutter                | Remove anything complicated, redundant, decorative.                              | engine + author (no decoration)        |\n| **S** | STRUCTURE | Organize content             | Logical, consistent, exhaustive **without overlap** (MECE).                      | **author**                             |\n\n> → in bino: the author owns **SAY, UNIFY (codes), EXPRESS, STRUCTURE**. **CHECK / CONDENSE /\n> SIMPLIFY** are largely guaranteed by the engine's IBCS-native components - flag only authoring-level\n> violations (e.g. decorative colour, a non-MECE breakdown), not things bino cannot do wrong.\n\n---\n\n## 2. UNIFY - semantic notation (the core)\n\nThe section to get exactly right; it is where most \"looks IBCS / isn't IBCS\" judgments are made.\n\n### 2.1 Scenarios - the data layers (UN 3.2)\n\nScenarios (a.k.a. data types / versions) are layers of the business model. **Recognizable by area fill\nalone, without reading labels.** Three base types:\n\n| Base type               | Meaning                                                | Examples | Fill notation                                                                              |\n| ----------------------- | ------------------------------------------------------ | -------- | ------------------------------------------------------------------------------------------ |\n| **Actual / measured**   | Things that already happened                           | AC, PY   | **Solid dark fill**. Earlier-period actuals (scenario comparison) use a **lighter solid**. |\n| **Forecast / expected** | Expected, based on measured data, not yet materialized | FC       | **Hatched** (outlined + diagonal stripes); stripe colour = the measured-data colour.       |\n| **Plan / fictitious**   | Fictitious, not-yet-materialized data                  | PL, BU   | **Outlined / hollow** (bordered, empty); \"fills up when materializing.\"                    |\n\nMnemonic: **solid = real, hollow = planned, hatched = forecast.** Forecast sits _between_ actual and\nplan (higher certainty than plan, not yet fully materialized).\n\nStandard two-letter codes: **AC** Actual, **PY** Previous Year, **PL** Plan, **BU** Budget,\n**FC** Forecast.\n\n> → in bino: codes are `ac`, `pp` (Previous **Period** - the canonical name; `py` is an alias), `pl`\n> (`bu` alias), `fc`. Fills are applied automatically via `colorIndex` (ac 10 / pp 20 / fc 30 / pl 50)\n> by the engine's rule set. Column display order follows IBCS: **`pp < pl < fc < ac`** (sortIndex 100 / 200\n> / 300 / 400). Name a DataSet's measure columns with these prefixes and bino does the rest.\n\n> Benchmarks (competitor, market average) may also be treated as scenarios. WG1 (§6) recommends\n> rendering external **references/benchmarks in a distinct base colour - violet**.\n> → in bino: **not yet modeled** - there is no violet/benchmark scenario in the engine's rule set. Treat as\n> standard context, not an authoring instruction.\n\n### 2.2 Variances - the analysis (UN 4.1)\n\nA variance compares two scenarios. Two kinds:\n\n- **Absolute variance** = difference of two values. Notation: `Δ` + the _subtrahend_. `ΔPL` = AC − PL.\n  Drawn as **variance columns/bars** - _same width and scale_ as the base columns/bars.\n- **Relative variance** = absolute variance as % of the subtrahend (`ΔPL%`). Drawn as **thin pins**\n  (~⅓ width of base bars).\n\n> → in bino: a variance is a column code `d{base}_{delta}_{direction}` (absolute) or\n> `dr{base}_{delta}_{direction}` (relative). `dac1_pl1_pos` = `ac1 − pl1`, favorable when positive.\n> The IBCS `ΔPL` label names the **subtrahend**; the bino code names **both** (base = minuend, delta =\n> subtrahend). See `data-model.md` (Variances).\n\n**The variance colour rule (memorize):**\n\n| Impact on business goal | Colour    | Mono fallback |\n| ----------------------- | --------- | ------------- |\n| **Positive** (good)     | **Green** | light grey    |\n| **Negative** (bad)      | **Red**   | dark grey     |\n| **Neutral**             | **Blue**  | medium grey   |\n\nCritical nuances:\n\n- Colour encodes **good/bad impact, not sign.** A _cost decrease_ is positive impact → green, even\n  though the number is negative. Know each measure's **polarity** (\"more is better\" vs \"less is\n  better\"). → in bino, this is the `pos` / `neg` / `neu` suffix, and it is a **business decision** -\n  if the favorable sign is ambiguous, ask the human, don't assume.\n- These variance colours are **not traffic lights** (traffic lights are banned - EX 2.5).\n- Absolute variance of a percentage = **percentage points (pp)**: AC 50% − PL 40% = +10pp.\n- Relative variance that can't be interpreted (positive vs negative denominator) → show **\"n.a.\"**\n- Positive variances carry an explicit **`+`** sign (`+13`, `+13%`).\n- Variance **data labels go outside** the element, aligned to the direction of increase/decrease.\n\n### 2.3 Time vs. structure orientation (UN 3.3 / 3.4)\n\n- **Time series → horizontal axis** (charts), **columns** (tables). Time flows **left → right**.\n- **Structure (dimensions) → vertical axis** (charts), **rows** (tables).\n- Period abbreviations: ISO 8601 `YYYY-MM-DD` preferred. Leading `.` = first day, trailing `.` = last\n  day, `..` = span (`Jan..Mar`).\n\n> → in bino: **`ChartTime`** is the time-on-horizontal component; **`ChartStructure`** is the\n> structure (categorical) component; **`Table`** puts time in columns, structure in rows. Period labels\n> are formatted per granularity by `_dateFormat` (`YYYY`, `Q[Q] YYYY`, `MMM YYYY`, `[KW]WW YYYY`,\n> `DD.MM.YYYY`).\n\n### 2.4 Measures (UN 3.1)\n\n- **Basic/value measures** → full-width columns / thick lines.\n- **Ratios** → thin columns (~⅓ width) / thin lines (~50%).\n\n### 2.5 Time-series & structure analyses (UN 4.2 / 4.3)\n\nLightweight notations layered onto period/element names:\n\n| Analysis             | Notation                                      | Example           |\n| -------------------- | --------------------------------------------- | ----------------- |\n| YTD accumulation     | underscore **prefix**                         | `_Jun 2021`       |\n| YTD average          | `_` prefix + `Ø`                              | `Ø_Jun 2021`      |\n| YTD last-date value  | `_` prefix + trailing `.`                     | `_Jun 2021.`      |\n| Year-to-go (YTG)     | underscore **suffix**                         | `Jun 2021_`       |\n| Moving (prev. 12 mo) | tilde **prefix** `~`                          | `~Jun 2021` (MAT) |\n| Structural average   | `Ø` prefix or suffix                          | `ØEurope`         |\n| Ranking              | arrow `↑`/`↓` suffix                          | `product sales↑`  |\n| Index                | black arrowhead at index point + `100%` label | reference = 100   |\n\n> → in bino: these are **real, renderable features** - the engine's date-link format rules\n> define `ytd: \"_[DATE]\"`, `ytg: \"[DATE]_\"`, `mat: \"~[DATE]\"`, `avg: \"Ø[DATE]\"`, `interval`\n> (`[DATE]..[DATE]`), `start`/`end` (`.[DATE]` / `[DATE].`), `cum` (`[DATE]_[DATE]`). When the question\n> is a YTD / year-to-go / moving / average view, reach for them. Confirm the component's support via\n> `outline_kind` before authoring.\n\n### 2.6 Highlighting & scaling indicators (UN 5.1 / 5.2 / 5.3)\n\n- **Assisting lines/areas**, **difference markers** (green/red/blue by impact), **trend arrows**\n  (annotate method, e.g. `CAGR: 10.8%`), **highlighting ellipse** (usually **blue**), **reference\n  arrowhead** (marks an index/benchmark line), **scaling line / scale band** (show two charts share a\n  scale; **outlier indicators** for unimportant outliers instead of rescaling the whole chart).\n\n> → in bino: shared scale across charts is the **`ScalingGroup`** kind (CH 4.1). Use it instead of\n> rescaling, so comparable charts read on one scale.\n\n### 2.7 General unification (UN 1 / UN 2)\n\nUnify terms & abbreviations; numbers, units, dates; and the **position** of messages, titles,\nlegends, labels, comments, footnotes - consistently across the whole report family.\n\n---\n\n## 3. WG1 extension - more scenarios per scenario type\n\nThe base AC/PL/FC notation distinguishes three states. WG1 proposes orthogonal refinements so _many_\nscenarios of the same type can coexist, each varied **within** the base notation:\n\n| Refinement         | Question                             | Visual mechanism           | Increase direction     |\n| ------------------ | ------------------------------------ | -------------------------- | ---------------------- |\n| **Time gradation** | different _timeliness_               | colour saturation in steps | later = darker         |\n| **Versions**       | different _statuses_ (FC 3+9 vs 6+6) | frame thickness            | higher = thicker frame |\n| **Variants**       | different _calculation basis_        | pattern density            | more concrete = denser |\n\n> → in bino: the numbered slots **`ac1…ac4`, `fc1…fc4`, `pl1…pl4`, `pp1…pp4`** are the practical\n> realization - `ac1` and `ac2` are two scenarios of the _same_ type. Label/title concept must carry\n> the extra meaning. **Show at most 3-4 scenarios per visualization** for clarity.\n\n---\n\n## 4. SAY - convey a message (conceptual)\n\nStoryline based on Minto's pyramid: _situation → complication → question → answer (message)_.\n\nKey habits: a message is a **complete sentence** (not a topic label); the message goes in the\n**title/headline**; say the message **first**; provide checkable evidence; name sources.\n\n> → in bino: the brief's `primary_message` is the report's message - author it as a full declarative\n> sentence in the title/headline and the narrative `Text`, and ground every number in the data\n> (`get_rows`). Validation checks **message↔content coherence**: does the report actually say it?\n\n---\n\n## 5. STRUCTURE - organize content (conceptual)\n\nMECE thinking (mutually exclusive, collectively exhaustive) + deductive/inductive reasoning. Use\nconsistent items, non-overlapping structures, exhaustive arguments; visualize structure in reports,\ntables, and notes.\n\n> → in bino: the breakdown a `Table` / `ChartStructure` / `Tree` shows must be **MECE** - categories\n> don't overlap and together cover the whole. \"thereof / partof\" drill-downs in `Table` express\n> hierarchy without double-counting.\n\n---\n\n## 6. EXPRESS - choose proper visualization (perceptual)\n\nTime-series & structure analyses → mainly **column, bar, line, pin, waterfall** charts and IBCS\ntables. **Avoid / replace:** pie & ring (EX 2.1), gauges & speedometers (EX 2.2), radar & funnel\n(EX 2.3), spaghetti (EX 2.4), **traffic lights** (EX 2.5). Prefer quantitative representations; add\nscenarios and variances to enrich the analysis.\n\n> → in bino: the component set is **fixed and IBCS-native** (`Table`, `ChartTime`, `ChartStructure`,\n> `Tree`, `Text`) - there is no pie / gauge / radar / funnel, so the EX 2.x bans are **satisfied by\n> construction**. The author's EXPRESS decision is _which_ of the allowed components answers the\n> question (see `../SKILL.md` \"Choosing a component\").\n\n---\n\n## 7. CHECK - ensure visual integrity (perceptual)\n\nThe cardinal sins: truncated value axis, inconsistent scales for the same unit, area/3-D distortion.\nAxes start at zero (CH 1.1); identical scale per unit (CH 4.1); size charts to the data; use scaling\n& outlier indicators (CH 4.3 / 4.4).\n\n> → in bino: the engine renders integrity-safe (axes are not truncatable, colour is not decorative).\n> The one author lever is **`ScalingGroup`** for CH 4.1 - put comparable charts in one so they share a\n> scale rather than each auto-scaling.\n\n---\n\n## 8. CONDENSE - increase information density (perceptual)\n\nSmall fonts / elements / objects; narrow margins; add data points and dimensions; overlay / multi-tier\ncharts; embed chart elements in tables; small multiples and related charts on one page. Aim:\neverything needed to understand the content on **one page**.\n\n> → in bino: pack a page with `LayoutCard` / `Grid`; prefer a few dense embeddables over many sparse\n> pages.\n\n---\n\n## 9. SIMPLIFY - avoid clutter (perceptual)\n\nAvoid cluttered layouts, filled/coloured backgrounds, animation; avoid frames, shades, pseudo-3D,\ndecorative colours & fonts; replace grid lines & value axes with **data labels**; right-align data;\navoid superfluous words and labels for tiny values.\n\n> → in bino: **colour is reserved for semantic meaning** (scenario / variance) - never decoration.\n> The engine already drops chart-junk; the author's job is to not _add_ it (no decorative colours in\n> `Text`, no redundant labels).\n\n---\n\n## 10. Compliance checklist (the IBCS self-audit)\n\nRun against every page before declaring it IBCS-compliant. (The `bino-validation` agent runs the\nauthor-owned items; engine-enforced ones are noted.)\n\n**Message (SAY / STRUCTURE)**\n\n- [ ] Page carries a message as a **full sentence** in the title, not a topic label.\n- [ ] Structure is **MECE** - non-overlapping and exhaustive.\n\n**Semantic notation (UNIFY)**\n\n- [ ] Scenario codes correct & consistent (`ac`/`pp`/`fc`/`pl`), explained in title/legend.\n- [ ] Variance `direction` = **impact** (`pos` good / `neg` bad / `neu`), not raw sign; measure\n      polarity respected.\n- [ ] Analysis notations (`_` YTD, `~` moving, `Ø` average, `..` span) applied where the question\n      calls for them.\n\n**Visualization (EXPRESS)**\n\n- [ ] Component fits the question (Table / ChartTime / ChartStructure / Tree). _(Bans engine-enforced.)_\n\n**Integrity / density / clarity (CHECK / CONDENSE / SIMPLIFY)**\n\n- [ ] Comparable charts share a scale (`ScalingGroup`). _(Axes/colour integrity engine-enforced.)_\n- [ ] Colour used only for semantics; no decoration. High density, one page where possible.\n\n---\n\n## 11. Rule-code quick index\n\nPrefixes: **SA**=Say, **UN**=Unify, **CO**=Condense, **CH**=Check, **EX**=Express, **SI**=Simplify,\n**ST**=Structure. (IBCS v1.2 numbers each headline `XX n.m`.)\n\n- **SAY:** SA 1-5 · **UNIFY:** UN 1-5 · **CONDENSE:** CO 1-5 · **CHECK:** CH 1-5\n- **EXPRESS:** EX 1-5 · **SIMPLIFY:** SI 1-5 · **STRUCTURE:** ST 1-5\n\n_Sources: IBCS Standards v1.2 (2022-01-28); IBCS Work Group 1, \"Semantic notation concept for more\nscenarios per scenario type.\" IBCS® is a registered trademark of the IBCS Association; standard\npublished under CC BY-SA 4.0._"}]},"tool_result_meta":[{"id":"toolu_01JBdehqQScrYFHNTNjBCN7C","permission_decision":{"decision":"accept","source":"config","reason_type":"rule"}}]}
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Inline DataSources are referenced via @inline(N) syntax.\",\"path\":\"dataset.dependencies\",\"required\":false,\"type\":\"array\"},{\"description\":\"Shift declarations keyed by the previous-period slot they define (pp1..pp4).\",\"path\":\"dataset.derive\",\"required\":false,\"type\":\"object\"},{\"description\":\"What a previous-period slot means: source slot, shift back in time, and the period one row stands for.\",\"path\":\"dataset.derive.pp1\",\"required\":false,\"type\":\"object\"},{\"description\":\"What a previous-period slot means: source slot, shift back in time, and the period one row stands for.\",\"path\":\"dataset.derive.pp2\",\"required\":false,\"type\":\"object\"},{\"description\":\"What a previous-period slot means: source slot, shift back in time, and the period one row stands for.\",\"path\":\"dataset.derive.pp3\",\"required\":false,\"type\":\"object\"},{\"description\":\"What a previous-period slot means: source slot, shift back in time, and the period one row stands for.\",\"path\":\"dataset.derive.pp4\",\"required\":false,\"type\":\"object\"},{\"description\":\"PRQL query. 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Changes to the referenced file trigger cache invalidation and auto-reload in preview mode.\",\"path\":\"dataset.query.$file\",\"required\":true,\"type\":\"string\"},{\"description\":\"Reference to a DataSource by name OR an inline DataSource definition.\",\"path\":\"dataset.source\",\"required\":true,\"type\":\"string|object\"},{\"description\":\"Explicit column names. Mutually exclusive with 'columns'.\",\"path\":\"dataset.source.columnNames\",\"required\":false,\"type\":\"array\"},{\"description\":\"Map of column name to DuckDB type. Mutually exclusive with 'columnNames'.\",\"path\":\"dataset.source.columns\",\"required\":false,\"type\":\"object\"},{\"description\":\"Connection parameters for 'postgres_query' and 'mysql_query' datasources. This block defines all non-credential connection details (host, port, database, user). 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Use a number for an exact row count, a string for a percentage, or an object to also specify the sampling method.\",\"path\":\"dataset.source.sample\",\"required\":false,\"type\":\"integer|string|object\"},{\"description\":\"Worksheet name to read for 'excel' datasources. When omitted, the first sheet is used.\",\"path\":\"dataset.source.sheet\",\"required\":false,\"type\":\"string\"},{\"description\":\"Number of lines to skip at the beginning of the CSV file.\",\"path\":\"dataset.source.skipRows\",\"required\":false,\"type\":\"integer\"},{\"description\":\"Thousands separator in numeric values.\",\"path\":\"dataset.source.thousands\",\"required\":false,\"type\":\"string\"},{\"description\":\"How this datasource loads data.\",\"enum\":[\"inline\",\"excel\",\"csv\",\"parquet\",\"postgres_query\",\"mysql_query\"],\"path\":\"dataset.source.type\",\"required\":true,\"type\":\"string\"},{\"description\":\"Axis date interval.\",\"enum\":[\"year\",\"quarter\",\"month\",\"week\",\"day\",\"hour\",\"minute\",\"second\",\"millisecond\",\"auto\"],\"path\":\"dateInterval\",\"required\":false,\"type\":\"string\"},{\"description\":\"An AlaSQL WHERE-clause fragment applied to the chart's data to filter rows before rendering, e.g. \\\"rowGroup = 'Revenue'\\\".\",\"path\":\"filter\",\"required\":false,\"type\":\"string\"},{\"description\":\"I18n namespace consulted for this component's labels; keys missing there fall back to '_system'. Resolved at runtime from the nearest ancestor carrying one (card, page, tree, grid, or the artefact) when not set. Maps to the i18n-namespace HTML attribute.\",\"path\":\"i18nNamespace\",\"required\":false,\"type\":\"string\"},{\"description\":\"Max number of columns used to calculate axis date interval (if dateInterval is set to 'auto').\",\"path\":\"intervalSpanLimit\",\"required\":false,\"type\":\"integer\"},{\"description\":\"Deprecated: has no effect. A time chart always shows one value per period, in date order.\",\"enum\":[\"auto\",\"rowgroup\",\"rowgroupindex\",\"category\",\"categoryindex\",\"subcategory\",\"subcategoryindex\"],\"path\":\"level\",\"required\":false,\"type\":\"string\"},{\"description\":\"Deprecated: has no effect. A time chart always shows one value per period, in date order.\",\"path\":\"limit\",\"required\":false,\"type\":\"integer\"},{\"description\":\"When true, line charts stretch to fill the full parent width instead of using fixed per-data-point spacing. Has no effect in bar mode.\",\"path\":\"lineFullWidth\",\"required\":false,\"type\":\"boolean\"},{\"default\":28,\"description\":\"Threshold for auto-switching to line mode. Only applies when chartMode is 'auto'.\",\"path\":\"maxBars\",\"required\":false,\"type\":\"integer\"},{\"description\":\"Sets the SI prefix of measurements and converts the original value. '_' means no prefix. 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A time chart always shows one value per period, in date order.\",\"enum\":[\"asc\",\"desc\",\"inherited-closest\",\"inherited-page\"],\"path\":\"orderDirection\",\"required\":false,\"type\":\"string\"},{\"description\":\"Name of a scaling-group, 'auto', or the number of percentage points per em of pin length (e.g. 10 renders a +10% pin 1 em long).\",\"path\":\"percentageScaling\",\"required\":false,\"type\":\"string|number\"},{\"description\":\"Name of a RuleSet manifest (metadata.name) selecting the IBCS scenario rule set, or 'inherited-closest' / 'inherited-page' to reuse the rule set of the surrounding layout. The effective rule set merges _system, then _default, then the named rule set. Maps to the ruleset HTML attribute.\",\"path\":\"ruleset\",\"required\":false,\"type\":\"string\"},{\"description\":\"Proportional scaling of the chart. 'none': no scaling. 'auto': auto-scale silently to fit parent. A positive number (e.g. '0.8'): fixed factor. 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When omitted, the first sheet is used.\",\"path\":\"dataset.source.sheet\",\"required\":false,\"type\":\"string\"},{\"description\":\"Number of lines to skip at the beginning of the CSV file.\",\"path\":\"dataset.source.skipRows\",\"required\":false,\"type\":\"integer\"},{\"description\":\"Thousands separator in numeric values.\",\"path\":\"dataset.source.thousands\",\"required\":false,\"type\":\"string\"},{\"description\":\"How this datasource loads data.\",\"enum\":[\"inline\",\"excel\",\"csv\",\"parquet\",\"postgres_query\",\"mysql_query\"],\"path\":\"dataset.source.type\",\"required\":true,\"type\":\"string\"},{\"description\":\"Axis date interval.\",\"enum\":[\"year\",\"quarter\",\"month\",\"week\",\"day\",\"hour\",\"minute\",\"second\",\"millisecond\",\"auto\"],\"path\":\"dateInterval\",\"required\":false,\"type\":\"string\"},{\"description\":\"An AlaSQL WHERE-clause fragment applied to the chart's data to filter rows before rendering, e.g. \\\"rowGroup = 'Revenue'\\\".\",\"path\":\"filter\",\"required\":false,\"type\":\"string\"},{\"description\":\"I18n namespace consulted for this component's labels; keys missing there fall back to '_system'. 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A larger value means shorter pins.\",\"path\":\"percentageScaling\",\"required\":false,\"type\":\"string|number\"},{\"description\":\"Name of a RuleSet manifest (metadata.name) selecting the IBCS scenario rule set, or 'inherited-closest' / 'inherited-page' to reuse the rule set of the surrounding layout. The effective rule set merges _system, then _default, then the named rule set. Maps to the ruleset HTML attribute.\",\"path\":\"ruleset\",\"required\":false,\"type\":\"string\"},{\"description\":\"Proportional scaling of the entire table (font, spacing, bars, pins, patterns). Blank or not set: auto-scale to fit parent width with warning. 'none': no scaling. 'auto': auto-scale silently. A positive number (e.g. '0.5', '1.2'): fixed factor applied to the base font size.\",\"enum\":[\"none\",\"auto\"],\"path\":\"scale\",\"required\":false,\"type\":\"number|string\"},{\"description\":\"List of scenarios displayed in the table. Can be a YAML array or a JSON string. 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Use a number for an exact row count, a string for a percentage, or an object to also specify the sampling method.\",\"path\":\"dataset.source.sample\",\"required\":false,\"type\":\"integer|string|object\"},{\"description\":\"Worksheet name to read for 'excel' datasources. When omitted, the first sheet is used.\",\"path\":\"dataset.source.sheet\",\"required\":false,\"type\":\"string\"},{\"description\":\"Number of lines to skip at the beginning of the CSV file.\",\"path\":\"dataset.source.skipRows\",\"required\":false,\"type\":\"integer\"},{\"description\":\"Thousands separator in numeric values.\",\"path\":\"dataset.source.thousands\",\"required\":false,\"type\":\"string\"},{\"description\":\"How this datasource loads data.\",\"enum\":[\"inline\",\"excel\",\"csv\",\"parquet\",\"postgres_query\",\"mysql_query\"],\"path\":\"dataset.source.type\",\"required\":true,\"type\":\"string\"},{\"description\":\"An AlaSQL WHERE-clause fragment applied to the table's data to filter rows before rendering, e.g. \\\"category = 'Sales'\\\".\",\"path\":\"filter\",\"required\":false,\"type\":\"string\"},{\"description\":\"Toggles whether data should be grouped by 'rowgroup'.\",\"path\":\"grouped\",\"required\":false,\"type\":\"boolean\"},{\"description\":\"I18n namespace consulted for this component's labels; keys missing there fall back to '_system'. 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If order is set to a scenario, it must also exist in the scenario list. When left blank, the table sorts by 'category'. 'auto' uses the key suggested by the dataset instead (subCategory, then category, then rowGroup); if that key is subCategory, category rows keep the dataset order and thereof rows are sorted by subCategory in the opposite direction. Set to 'inherited-closest' to inherit from the nearest ancestor LayoutCard or LayoutPage, or 'inherited-page' to inherit from the LayoutPage only.\",\"enum\":[\"auto\",\"category\",\"categoryindex\",\"rowgroup\",\"rowgroupindex\",\"ac1\",\"ac2\",\"ac3\",\"ac4\",\"fc1\",\"fc2\",\"fc3\",\"fc4\",\"pp1\",\"pp2\",\"pp3\",\"pp4\",\"pl1\",\"pl2\",\"pl3\",\"pl4\",\"inherited-closest\",\"inherited-page\"],\"path\":\"order\",\"required\":false,\"type\":\"string\"},{\"description\":\"Sets the sorting order direction. Set to 'inherited-closest' or 'inherited-page' to inherit from an ancestor LayoutCard or LayoutPage.\",\"enum\":[\"asc\",\"desc\",\"inherited-closest\",\"inherited-page\"],\"path\":\"orderDirection\",\"required\":false,\"type\":\"string\"},{\"description\":\"Array of part-of objects with rowGroup and category defining the drill percentage location. Can be a YAML array or a JSON string. Example: [{\\\"rowGroup\\\":\\\"Umsatz\\\", \\\"category\\\": \\\"Applications\\\"}]\",\"path\":\"partof\",\"required\":false,\"type\":\"string|array\"},{\"path\":\"partof[].category\",\"required\":false,\"type\":\"string\"},{\"path\":\"partof[].rowGroup\",\"required\":false,\"type\":\"string\"},{\"default\":2,\"description\":\"Name of a scaling-group, 'auto', or the number of percentage points per em of pin length for relative variance pins (dr_ prefix columns). 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Set to 'inherited-closest' to inherit from the nearest ancestor LayoutCard or LayoutPage, or 'inherited-page' to inherit from the LayoutPage only.\",\"path\":\"variances\",\"required\":false,\"type\":\"string|array\"}],\"found\":true,\"kind\":\"Table\",\"required\":[\"dataset\"]}","_meta":{"io.modelcontextprotocol/serverInfo":{"name":"bino","title":"bino - Report-as-Code","version":"0.100.0"}},"structuredContent":{"description":"An IBCS report table: scenario columns (ac/pp/fc/pl), variance columns (d_/dr_ with sentiment), grouping, subtotal rows, and measure scaling, driven by the bound dataset's columns.","fields":[{"description":"Computed attribute columns rendered between the category and scenario columns, in list order. Maps a column header label to an aggregate expression over the rows behind each table row. Functions: set, first, last, min, max, avg, sum (dataset field or custom '_'-prefixed field) and lit (constant). 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{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CgFvEe48V83m73a5BWmMT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XzXuUBqxEddRgVNZX7ZeMu","name":"mcp__bino__validate_draft","input":{"yaml":"apiVersion: bino.bi/v1alpha1\nkind: LayoutPage\nmetadata:\n  name: sales_2025_page\n  description: Revenue 2025 actual vs plan, by month and by region\nspec:\n  pageFormat: a4\n  pageOrientation: landscape\n  pageLayout: 1-over-2\n  pageGridGap: \"12\"\n  titleBusinessUnit: Kestrel Outdoor GmbH\n  titleMeasures:\n    - name: Revenue\n      unit: EUR\n  titleScenarios: [ac1, pl1]\n  titleVariances: [dac1_pl1_pos]\n  titleDateStart: \"2025-01-01\"\n  titleDateEnd: \"2025-12-31\"\n  titleDateFormat: month\n  titleDateLink: interval\n  titleOrder: \"\"\n  messageText: \"2025 revenue beat plan by +96 kEUR (+0.4%): South (+329 kEUR) and Export (+167 kEUR) offset East (-411 kEUR, -11.4%)\"\n  footerText: \"Source: data/sales_2025.csv\"\n  children:\n    - kind: ChartTime\n      spec:\n        chartTitle: Revenue by month (kEUR)\n        dataset: sales_2025_monthly\n        dateInterval: month\n        scenarios: [ac1, pl1]\n        variances: [dac1_pl1_pos, drac1_pl1_pos]\n        measureScale: k\n        measureUnit: EUR\n    - kind: Table\n      spec:\n        dataset: sales_2025_region\n        type: sum\n        order: categoryindex\n        orderDirection: asc\n        scenarios: [pl1, ac1]\n        variances: [dac1_pl1_pos, drac1_pl1_pos]\n        barColumns: [dac1_pl1_pos, drac1_pl1_pos]\n        measureScale: k\n        measureType: currency\n        measureUnit: EUR\n    - kind: Text\n      spec:\n        dataset: sales_2025_kpi\n        value: |\n          **Plan met.** Revenue reached ${data.sales_2025_kpi[0].ac_m} mEUR against a plan of ${data.sales_2025_kpi[0].pl_m} mEUR (${data.sales_2025_kpi[0].d_k} kEUR, ${data.sales_2025_kpi[0].dr_pct}%). 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{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CgFvFvDW52kGhpnhcvL3c","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MF2nZEyeu5j9Skqyyq9eUZ","name":"mcp__bino__validate_draft","input":{"yaml":"apiVersion: bino.bi/v1alpha1\nkind: LayoutPage\nmetadata:\n  name: sales_2025_page\n  description: Revenue 2025 actual vs plan, by month and by region\nspec:\n  pageFormat: a4\n  pageOrientation: landscape\n  pageLayout: 1-over-2\n  pageGridGap: \"12\"\n  titleBusinessUnit: Kestrel Outdoor GmbH\n  titleMeasures:\n    - name: Revenue\n      unit: EUR\n  titleScenarios: [ac1, pl1]\n  titleVariances: [dac1_pl1_pos]\n  titleDateStart: \"2025-01-01\"\n  titleDateEnd: \"2025-12-31\"\n  titleDateFormat: month\n  titleDateLink: interval\n  titleOrder: categoryindex\n  messageText: \"2025 revenue beat plan by +96 kEUR (+0.4%): South (+329 kEUR) and Export (+167 kEUR) offset East (-411 kEUR, -11.4%)\"\n  footerText: \"Source: data/sales_2025.csv\"\n  children:\n    - kind: ChartTime\n      spec:\n        chartTitle: Revenue by month (kEUR)\n        dataset: sales_2025_monthly\n        dateInterval: month\n        scenarios: [ac1, pl1]\n        variances: [dac1_pl1_pos, drac1_pl1_pos]\n        measureScale: k\n        measureUnit: EUR\n    - kind: Table\n      spec:\n        dataset: sales_2025_region\n        type: sum\n        order: categoryindex\n        orderDirection: asc\n        scenarios: [pl1, ac1]\n        variances: [dac1_pl1_pos, drac1_pl1_pos]\n        barColumns: [dac1_pl1_pos, drac1_pl1_pos]\n        measureScale: k\n        measureType: currency\n        measureUnit: EUR\n    - kind: Text\n      spec:\n        dataset: sales_2025_kpi\n        value: |\n          **Plan met.** Revenue reached ${data.sales_2025_kpi[0].ac_m} mEUR against a plan of ${data.sales_2025_kpi[0].pl_m} mEUR (${data.sales_2025_kpi[0].d_k} kEUR, ${data.sales_2025_kpi[0].dr_pct}%). 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{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CgFvGVPnedpqRr8CCUsEK","type":"message","role":"assistant","content":[{"type":"text","text":"Small wording fix (avoid \"−123 kEUR below plan\" double negatives), then write."}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1171,"cache_read_input_tokens":77574,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1171},"output_tokens":7,"service_tier":"standard","inference_geo":"global","speed":"standard"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"e47996d3-129a-463f-8313-3b18fb0e5750","uuid":"574cd8f3-0898-4781-b8ce-6e959216cf1c","timestamp":"2026-10-21T19:16:45.745Z","request_id":"req_011CgFvGV5gnB6btgzsTkekp"}
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{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"validating tool output: validating root: validating /properties/detail: type: map[diagnostics:[map[id:ERR_overflow message:Chart exceeds available height (3910px > 320px). Adjust unit-scaling / percentage-scaling or set to \"auto\". type:error]] em:map[appliedScaleFactor:1 fontSizePx:13.3333] id:bn-chart-time[0] metadata:map[barCount:12 chartMode:bar hasNoData:false scenarios:[ac1 pl1] title:Revenue by month (kEUR) variances:[dac1_pl1_pos drac1_pl1_pos]] rect:map[component:map[height:3868.72 width:805.28 x:0 y:0] context:map[height:3868.72 width:805.28 x:0 y:125.63]] regions:[map[id:canvas:base rect:map[component:map[height:111.81 width:805.28 x:0 y:3756.91] context:map[height:111.81 width:805.28 x:0 y:3882.53]]] map[id:canvas:dac1_pl1_pos rect:map[component:map[height:3643.97 width:695.98 x:0 y:112.94] context:map[height:3643.97 width:695.98 x:0 y:238.56]]] map[id:canvas:drac1_pl1_pos rect:map[component:map[height:112.94 width:695.98 x:0 y:0] context:map[height:112.94 width:695.98 x:0 y:125.63]]]] scaling:map[percentageMode:fixed percentagePointsPerEm:2 percentagePxPerPoint:6.66665 unitMode:fixed unitPxPerUnit:0.0666665 unitsPerEm:200] tag:bn-chart-time version:1] has type \"object\", want one of \"null, array\"","is_error":true,"tool_use_id":"toolu_019KZDV9k1c4CdrRJR9wpqWa"}]},"parent_tool_use_id":null,"session_id":"e47996d3-129a-463f-8313-3b18fb0e5750","uuid":"8b3214d0-9781-4e1a-8a11-4089862f0bfd","timestamp":"2026-10-21T19:17:32.056Z","tool_use_result":"Error: validating tool output: validating root: validating /properties/detail: type: map[diagnostics:[map[id:ERR_overflow message:Chart exceeds available height (3910px > 320px). Adjust unit-scaling / percentage-scaling or set to \"auto\". type:error]] em:map[appliedScaleFactor:1 fontSizePx:13.3333] id:bn-chart-time[0] metadata:map[barCount:12 chartMode:bar hasNoData:false scenarios:[ac1 pl1] title:Revenue by month (kEUR) variances:[dac1_pl1_pos drac1_pl1_pos]] rect:map[component:map[height:3868.72 width:805.28 x:0 y:0] context:map[height:3868.72 width:805.28 x:0 y:125.63]] regions:[map[id:canvas:base rect:map[component:map[height:111.81 width:805.28 x:0 y:3756.91] context:map[height:111.81 width:805.28 x:0 y:3882.53]]] map[id:canvas:dac1_pl1_pos rect:map[component:map[height:3643.97 width:695.98 x:0 y:112.94] context:map[height:3643.97 width:695.98 x:0 y:238.56]]] map[id:canvas:drac1_pl1_pos rect:map[component:map[height:112.94 width:695.98 x:0 y:0] context:map[height:112.94 width:695.98 x:0 y:125.63]]]] scaling:map[percentageMode:fixed percentagePointsPerEm:2 percentagePxPerPoint:6.66665 unitMode:fixed unitPxPerUnit:0.0666665 unitsPerEm:200] tag:bn-chart-time version:1] has type \"object\", want one of \"null, array\"","tool_result_meta":[{"id":"toolu_019KZDV9k1c4CdrRJR9wpqWa","permission_decision":{"decision":"accept","source":"config","reason_type":"rule"}}]}
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{"type":"assistant","message":{"model":"claude-opus-5-5","id":"msg_011CgFvQLavyqz7X1kdm96MD","type":"message","role":"assistant","content":[{"type":"text","text":"The report is built and the page is clean: the last `get_layout_state` run reported no findings, and `validate_project` (with queries) passes. I did not look at the PDF myself, so someone should still open `dist/sales_2025_report.pdf` and check it.\n\n**Main finding:** Kestrel beat the 2025 revenue plan, but only just: 23.50 mEUR actual against 23.40 mEUR plan, which is +96 kEUR (+0.4%). East drives the deviation. It was below plan in all 12 months and finished 411 kEUR under plan (-11.4%). South (+329 kEUR) and Export (+167 kEUR) more than made up for it. North and West were almost exactly on plan. Over the year the variance was -123 kEUR in H1 and +219 kEUR in H2.\n\n**Files written**\n- `datasources/sales_2025_csv.yaml`: CSV source. The path is resolved relative to the manifest, so it is `../data/sales_2025.csv`.\n- `datasets/sales_2025.yaml`, three DataSets:\n  - `sales_2025_monthly`: total per month in kEUR, actual vs. plan.\n  - `sales_2025_region`: total per region in kEUR, actual vs. plan.\n  - `sales_2025_kpi`: one row of formatted figures used by the commentary.\n- `pages/sales_2025_page.yaml`: the A4 landscape page.\n  - Message title with the finding.\n  - Monthly chart of actual vs. plan with absolute and relative plan variance.\n  - Region table: plan, actual and variance to plan (absolute and %), with a total row.\n  - Two short paragraphs of commentary.\n- `reports/sales_2025_report.yaml`: the `sales_2025_report` artefact, written to `dist/sales_2025_report.pdf`.\n\n**Things you should know**\n- **Probable engine bug:** with `measureScale: k`, the monthly chart scaled the revenue bars to kEUR but drew the variance bars from the raw EUR values. That variance area came out 3,644px tall. My workaround: the monthly and region DataSets return kEUR, and neither the chart nor the table uses `measureScale`. This is worth reporting to the engine team.\n- **Fixed sizes:** the chart and the table use the same scale (`unitScaling: 250`, `percentageScaling: 4`), which also fixed the earlier \"different scales\" finding and the table font shrink. The custom grid puts the chart across the full width, the table at 2/3 width and the text at 1/3.\n- **Title is fixed text:** the commentary reads its numbers from `sales_2025_kpi`, but the message title is typed in. I checked its numbers against `get_rows`, but if the CSV changes, the title must be updated by hand.\n- **Tool error:** asking `get_layout_state` for detail on a single component failed with an output-schema validation error. The detail data was still in the error text, so I used that."}],"container":null,"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":142,"cache_read_input_tokens":97922,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":142},"output_tokens":3,"service_tier":"standard","inference_geo":"global","speed":"standard"},"input_transformations":[],"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"e47996d3-129a-463f-8313-3b18fb0e5750","uuid":"8ae53c29-aee5-46cf-970e-6317b8b7723e","timestamp":"2026-10-21T19:18:40.026Z","request_id":"req_011CgFvQLKZ2mv9nudPMdv9N"}
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I did not look at the PDF myself, so someone should still open `dist/sales_2025_report.pdf` and check it.\n\n**Main finding:** Kestrel beat the 2025 revenue plan, but only just: 23.50 mEUR actual against 23.40 mEUR plan, which is +96 kEUR (+0.4%). East drives the deviation. It was below plan in all 12 months and finished 411 kEUR under plan (-11.4%). South (+329 kEUR) and Export (+167 kEUR) more than made up for it. North and West were almost exactly on plan. Over the year the variance was -123 kEUR in H1 and +219 kEUR in H2.\n\n**Files written**\n- `datasources/sales_2025_csv.yaml`: CSV source. The path is resolved relative to the manifest, so it is `../data/sales_2025.csv`.\n- `datasets/sales_2025.yaml`, three DataSets:\n  - `sales_2025_monthly`: total per month in kEUR, actual vs. plan.\n  - `sales_2025_region`: total per region in kEUR, actual vs. plan.\n  - `sales_2025_kpi`: one row of formatted figures used by the commentary.\n- `pages/sales_2025_page.yaml`: the A4 landscape page.\n  - Message title with the finding.\n  - Monthly chart of actual vs. plan with absolute and relative plan variance.\n  - Region table: plan, actual and variance to plan (absolute and %), with a total row.\n  - Two short paragraphs of commentary.\n- `reports/sales_2025_report.yaml`: the `sales_2025_report` artefact, written to `dist/sales_2025_report.pdf`.\n\n**Things you should know**\n- **Probable engine bug:** with `measureScale: k`, the monthly chart scaled the revenue bars to kEUR but drew the variance bars from the raw EUR values. That variance area came out 3,644px tall. My workaround: the monthly and region DataSets return kEUR, and neither the chart nor the table uses `measureScale`. This is worth reporting to the engine team.\n- **Fixed sizes:** the chart and the table use the same scale (`unitScaling: 250`, `percentageScaling: 4`), which also fixed the earlier \"different scales\" finding and the table font shrink. The custom grid puts the chart across the full width, the table at 2/3 width and the text at 1/3.\n- **Title is fixed text:** the commentary reads its numbers from `sales_2025_kpi`, but the message title is typed in. I checked its numbers against `get_rows`, but if the CSV changes, the title must be updated by hand.\n- **Tool error:** asking `get_layout_state` for detail on a single component failed with an output-schema validation error. The detail data was still in the error text, so I used that.","ttft_ms":1195,"type":"result","duration_ms":196147,"uuid":"15a4aa50-2480-4bc0-b80a-ffc8d337e80c","ttft_stream_ms":640,"time_to_request_ms":61,"time_to_request_phases_ms":{"other":10,"system_prompt":8,"resume_other":1,"process_user_input":1,"input_attachments":4,"input_hooks":1,"transcript_persist":2,"tool_pool_refresh":1,"init_message":3,"engine_pickup":0,"message_prep":1,"model_config_wait":0,"autocompact":1,"query_setup":0,"model_gates":1,"tool_schema_build":1,"message_normalization":1,"client_creation":14,"request_build":11},"turn_start_resume_kind":"none","process_turn_index":0,"time_to_request_loop_lag_ms":11,"time_to_request_cpu_ms":125,"time_to_request_major_faults":4,"input_attachments_detail":{"slowest_producer":"queued_commands","slowest_producer_ms":2,"cpu_ms":7,"major_faults":0},"first_content_frame_ms":640,"queued_turn_count":0,"result_index":0}