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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/nastechresearch-brain-taxonomist
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/brain-taxonomist
What's inside
- Skill name
brain-taxonomist- 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 `nbrain schema show --json` — no hardcoded directory table. Also runs periodic taxonomy drift detection via `nbrain schema review-orphans`.
- License
- MIT
- Instructions
- 176 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- routing-eval.jsonl
SKILL.md (first lines)
# 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 `nbrain schema show --json`. This means: - A user who runs `nbrain schema use nbrain-recommended` gets the full recommended directory set (deal, meeting, concept, project, source, daily, personal, civic, original, place, trip, conversation, writing, plus all nbrain-base types). - A user who authored a custom pack via `nbrain schema init` + edit gets filing recommendations based on THEIR taxonomy, not nbrain'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 nbrain 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 `nbrain-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 `nbrain 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 # What pages have no type matching the active pack? nbrain schema review-orphans --json # What's the overall health? nbrain doctor --json | jq '.checks[] | select(.name == "schema_pack_consistency")' ``` When `schema_pack_consistency` warns at >10% 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
From nastechresearch/nbrain, MIT.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Aug 11, 2026 (2 months ago)
- Last release
- Aug 11, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/nastechresearch/nbrain
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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cold-start
nastechresearch
Day-one data bootstrapping for a new brain.
SkillBFreshness: B★ 1Claude Code +9 - 0.544score
archive-crawler
nastechresearch
Universal archivist for personal file archives (Dropbox/B2/Gmail-takeout/local-mount/hard-drive-dump).
SkillBFreshness: B★ 1Claude Code +9 - 0.541score
retrieval-reflex
nastechresearch
When/what to retrieve — open the brain page for a salient entity before answering from memory.
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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brain-taxonomist skill. Agent Mart. https://agentmart.dev/skills/nastechresearch-brain-taxonomist (last updated 2026-10-24)