brain-taxonomist
garrytan/gbrain/skills/brain-taxonomist/SKILL.md
Filing gate for ALL brain writes. Consulted before creating any new brain page to determine the correct path. Reads the ACTIVE schema pack via `gbrain schema show --json` — no hardcoded directory table. Also runs periodic taxonomy drift detection via `gbrain schema review-orphans`.
Skill31k starsChanged 2 months ago
What's in it
- brain-taxonomist
- Purpose
- Contract
- Critical: this skill reads the ACTIVE schema pack as data
- When to Consult (MANDATORY)
- Decision Protocol
- Step 1: Identify primary subject type
- Step 2: Look up the directory for that type in the active pack
- Step 3: For books — determine sub-category
- Step 4: Construct the slug
- Step 5: Validate before writing
- Integration with Other Skills
- Periodic Drift Detection
- Output Format
- When it fails
- Anti-Patterns
- Hard Rules
- Changelog
- v1.0.0 — gbrain v0.39.0.0
--- name: brain-taxonomist version: 1.0.0 prompt_version: 1 description: | Filing gate for ALL brain writes. Consulted before creating any new brain page to determine the correct path. Reads the ACTIVE schema pack via `gbrain schema show --json` — no hardcoded directory table. Also runs periodic taxonomy drift detection via `gbrain schema review-orphans`. triggers: - "where does this brain page go" - "file this in the brain" - "brain taxonomist" - "taxonomy check" - "refile brain page" - "create brain page" - "which directory does this go" - "which directory does this page go" mutating: false --- # brain-taxonomist ## Purpose **Gate function:** Before creating ANY new brain page, consult this skill to determine the correct filing path. This prevents misfiling at write time rather than cleaning up drift after the fact. **Drift function:** Periodic scan for pages that have outgrown their current location. ## Contract This skill guarantees: - Every new page is filed at the path determined by the ACTIVE schema pack — never against a hardcoded directory table baked into this skill. - The decision is reproducible: invoking brain-taxonomist twice on the same content produces the same recommended path. - Ambiguous cases surface to the user via `skills/ask-user/` rather than silently picking a default. - Per-source overrides via `--source <id>` are honored — multi-brain users (Persona B) get a different recommendation per source if their packs diverge. - When no matching `page_types[]` entry exists in the active pack, the skill signals to EIIRP Phase 3 (SCHEMA CHECK) rather than picking the closest-fitting fallback. ## Critical: this skill reads the ACTIVE schema pack as data `brain-taxonomist` has NO hardcoded directory table. Every decision is driven by `gbrain schema show --json`. This means: - A user who runs `gbrain schema use gbrain-recommended` gets the full recommended directory set (deal, meeting, concept, project, source, daily, personal, civic, original, place, trip, conversation, writing, plus all gbrain-base types). - A user who authored a custom pack via `gbrain schema init` + edit gets filing recommendations based on THEIR taxonomy, not gbrain's defaults. - Per-source overrides (tier 3 in the 7-tier resolution chain) are honored when `--source <id>` is passed to brain-taxonomist. This is the single-source-of-truth principle (D9 from the v0.39 plan-eng-review). ## When to Consult (MANDATORY) Run the taxonomist check before writing to the brain in these cases: 1. **New brain page** — any `type` (person, company, concept, book, meeting, etc.) 2. **Bulk import** — before committing a batch of new pages 3. **Uncertain filing** — when the primary subject is ambiguous You do NOT need to consult for: - Updating an existing page in place (same path) - Appending to a Timeline section - Meeting entity propagation to existing pages ## Decision Protocol ### Step 1: Identify primary subject type Walk these questions in order: 1. Is the primary subject a NAMED PERSON? → person-typed directory 2. Is the primary subject a NAMED ORGANIZATION? → company-typed directory 3. Is it about a TIME-BOUNDED EVENT (meeting, deal, trip)? → temporal-typed directory 4. Is it a REUSABLE MENTAL MODEL? → concept-typed directory 5. Is it RAW MEDIA (article, video, book, PDF)? → media-typed directory 6. Is it BULK SOURCE DATA? → source-typed directory 7. None of the above → consult EIIRP Phase 3 for schema-pack candidate creation. ### Step 2: Look up the directory for that type in the active pack ```bash gbrain schema show --json | jq '.page_types[] | select(.primitive == "entity")' ``` Each `page_types[]` entry has a `path_prefixes:` array. The first prefix is the canonical path. If multiple types match (e.g. both `person` and `founder` exist in the pack with `expert_routing: true`), prefer the more specific one (the one with the more specific path prefix). ### Step 3: For books — determine sub-category The `gbrain-recommended` pack treats books as `media/books/<category>/<slug>.md` where category is one of: psychology, philosophy, spirituality, business, media-and-society, family-and-divorce, heritage, science, fiction, biography, arts-and-design. If your active pack has a different scheme, walk it from `gbrain schema show --json` instead of hardcoding here. ### Step 4: Construct the slug - kebab-case, descriptive - no author name unless disambiguation is needed - match the canonical path prefix exactly (no leading slash) ### Step 5: Validate before writing - [ ] Path follows the active pack's `page_types[].path_prefixes` - [ ] Slug is kebab-case, descriptive - [ ] Frontmatter includes `type:` matching one of the pack's `page_types[].name` - [ ] Cross-links to related pages are included If the active pack doesn't have a type for what you're trying to file, DON'T pick the closest-fitting one. Instead, signal to EIIRP that a new type is needed and let the schema-pack cathedral handle the proposal flow. ## Integration with Other Skills - `eiirp` — calls this skill as Phase 2 TAXONOMY for every output in its inventory. - `ingest` — article/media ingestion consults brain-taxonomist for filing. - `repo-architecture` — delegates the filing decision to this skill. - `book-mirror` — after generating a mirror, files it via brain-taxonomist. ## Periodic Drift Detection ```bash # Which pages have no type matching the active pack? Counts untyped pages AND # pages whose type the pack neither declares nor aliases (undeclared_types). gbrain schema review-orphans --json # Per-type audit of the stored corpus (stored_type_undeclared / stored_type_is_alias). gbrain schema lint --with-db --json ``` Both commands run locally. Over MCP, the `run_doctor` report carries the same verdict as its `schema_pack_consistency` check (an undeclared type warns with code `page_type_undeclared`). When undeclared types show up, declare them in the pack (`gbrain schema add-type <type> --primitive <p> --prefix <dir/>`) or rewrite the pages with a declared type. When more than 10% of a source is untyped, run the EIIRP Phase 3 SCHEMA CHECK flow to surface candidate types via `schema detect`. ## Output Format Advisory: a single recommendation block plus a one-line reasoning trail. ```markdown **File at:** `<directory>/<slug>.md` **Reasoning:** - Primary subject: <person|company|concept|...> - Matched page_type: <name> (primitive: <entity|temporal|concept|media|annotation>) - Active pack: <pack-name> v<version> - Source: <source_id> ``` When ambiguous, surface 2 candidates via `skills/ask-user/` rather than silently choosing. When the active pack has NO matching type, signal to EIIRP Phase 3 (SCHEMA CHECK) and emit: ```markdown **No match in active pack `<name>`.** **Suggested next step:** `gbrain schema detect --source <source_id>` then `gbrain schema review-candidates`. ``` ## When it fails Follow the [agent operator protocol](../conventions/agent-operator-protocol.md) for any gbrain error `code`, exit code, `[AGENT]` block or notice block. Specific to this skill: - `gbrain schema show` / `gbrain schema lint` fails because no schema pack is active or the pack is corrupt: report it and route to the schema-author skill; do not guess a directory from memory. - A recommendation needs a schema change (`gbrain schema add-type`, `gbrain schema use`): this skill is advisory. Hand it to EIIRP or schema-author with the user's agreement; never mutate the active pack from here. ## Anti-Patterns - **Hardcoded directory table in this skill.** Every decision goes through `gbrain schema show --json`. v0.39+ broke the old hardcoded table on purpose so users on `gbrain-recommended` or custom packs get the right routing automatically. - **Picking the closest-fitting type when no type matches.** Closest-fit silently degrades user filing. Surface to EIIRP Phase 3 instead. - **Ignoring `--source <id>` on multi-brain setups.** Per-source overrides are tier-3 in the 7-tier resolution chain; missing the flag silently uses the brain-wide active pack. - **Auto-applying a `gbrain schema review-candidates --apply` decision.** Even high-confidence suggestions need user approval — this skill is a GATE, not an automator. ## Hard Rules - **Never hardcode a directory table in this skill.** Every decision goes through `gbrain schema show --json`. The active pack is canonical. - **Per-source flag is first-class.** Pass `--source <id>` to every CLI call when working with a non-default source. - **Confidence-floor honor.** EIIRP's Phase 3 produces suggestions with confidence < 0.6 that brain-taxonomist must surface to the user rather than auto-apply. Don't silently promote a low-confidence schema delta. ## Changelog ### v1.0.0 — gbrain v0.39.0.0 - Initial port from upstream OpenClaw. Genericized — no references to private fork names per CLAUDE.md privacy rules. - Hardcoded directory table REMOVED. Every decision now reads the active schema pack via `gbrain schema show --json`. Single source of truth. - Book taxonomy moved from skill-text to the `gbrain-recommended` pack's media/books/ branch (see `src/core/schema-pack/base/gbrain-recommended.yaml`). - `--source <id>` propagation documented for multi-brain users (Persona B).
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