brain-ops

name	brain-ops
version	1.0.0
description	Brain knowledge base operations. The core read/write cycle: brain-first lookup, read-enrich-write loop, source attribution, ambient enrichment, back-linking. Read this before any brain interaction.
triggers	["any brain read/write/lookup/citation"]
tools	["search","query","query_scan","temporal_search","get_page","put_page","add_link","add_timeline_entry","get_backlinks","sync_brain"]
mutating	true
writes_pages	true
writes_to	["people/","companies/","deals/","concepts/","meetings/"]

Brain Operations — The Ambient Context Layer

The brain is not an archive. It is a live context membrane that every interaction flows through in both directions.

Convention: See skills/conventions/brain-first.md for the lookup decision model. Convention: All brain lookup/search phrases are English natural language; translate non-English wording before search, query, query_scan, temporal search, salience search, recall, or takes_search while preserving immutable exact identifiers. Convention: See skills/conventions/quality.md for citation and back-link rules.

Contract

This skill guarantees:

• Brain is checked BEFORE any external API call (brain-first lookup)
• Every inbound signal triggers the READ → ENRICH → WRITE loop
• Every outbound response checks brain for relevant context
• Source attribution on every fact written (inline [Source: ...] citations)
• User's direct statements are highest-authority data
• Back-links maintained on every brain write (Iron Law)

Iron Law: Back-Linking (MANDATORY)

Every mention of a person or company with a brain page MUST create a back-link FROM that entity's page TO the page mentioning them. An unlinked mention is a broken brain. See skills/conventions/quality.md for format.

Phases

Phase 1: Brain-First Lookup (MANDATORY)

Before using ANY external API to research a person, company, or topic:

1. Translate the user's natural-language lookup into English; preserve only immutable exact identifiers such as IDs, commands, URLs, slugs, and paths.
2. gbrain search "English/transliterated name or immutable identifier" — keyword search for existing pages
3. gbrain query "English natural question about that entity" — hybrid search for context
4. query_scan — only when the ask needs exhaustive coverage such as "show all" or "list everything"; follow next_cursor until has_more=false
5. temporal_search — when the ask is date-windowed; choose date_kind=formed, recorded, or indexed explicitly
6. gbrain get <slug> — if you know the slug or a result will support a material answer, read the full page
7. Check backlinks: who references this entity?
8. Check timeline: recent events involving this entity

The brain almost always has something. External APIs fill gaps, not start from scratch.

Phase 2: On Every Inbound Signal (READ → ENRICH → WRITE)

Every message, meeting, email, or conversation that references a person or company:

1. Detect entities — people, companies, deals mentioned
2. Load brain pages — read existing pages for context before responding
3. Identify new information — what does this signal tell us that the page doesn't know?
4. Write it back — update the brain page with new info + timeline entry + source citation
5. Create if missing — if notable and no page exists, create via enrich skill

User's direct statements are the highest-value data source. Write them to brain pages immediately with attribution [Source: User, YYYY-MM-DD].

Phase 2.5: Structured Graph Updates (automatic)

Every put_page call automatically extracts entity references and writes them to the graph (links table) with inferred relationship types. Stale links (refs no longer in the page text) are removed in the same call. This is "auto-link" reconciliation.

• No manual add_link calls needed for ordinary page writes.
• Inferred link types: attended (meeting -> person), works_at, invested_in, founded, advises, source (frontmatter), mentions (default).
• The put_page MCP response includes auto_links: { created, removed, errors } so the agent can verify outcomes.
• To disable: gbrain config set auto_link false. Default is on.
• Timeline entries with specific dates still need explicit gbrain timeline-add (or batch via gbrain extract timeline --source db).

Phase 3: On Every Outbound Response (READ → PULL → RESPOND)

Before answering any question about a person, company, or topic:

1. Check the brain — read relevant pages
2. Pull context — use compiled truth + recent timeline
3. Respond with context — the brain makes every answer better

Don't answer from general knowledge when a brain page exists.

Phase 4: Ambient Enrichment

This is not a special mode. This is the default. Everything the user says is an ingest event.

• Person mentioned → check brain, create/enrich if needed (spawn background)
• Company mentioned → same
• Link shared → ingest it (delegate to idea-ingest)
• Data shared → delegate to appropriate skill

Rules:

• Never interrupt the conversation to do enrichment
• Spawn sub-agents for anything that would slow down the response
• Never announce "I'm enriching the brain" — just do it silently

Output Format

No separate output. Brain-ops is an always-on behavior layer, not a report generator. The output is updated brain pages and enriched responses.

Cross-source citation format (v0.18.0+)

When a brain has multiple sources (wiki, gstack, yc-media, etc.), every citation MUST include the source id: [source-id:slug]. Example:

You told me about the retry budget approach — see [wiki:topics/resilience] and [gstack:plans/retry-policy] for where this came from.

Rules:

• The key is sources.id (immutable), never sources.name (mutable display).
• Single-source brains still write [default:slug] OR may omit the prefix for backward compat.
• Every page payload returned by search, query, get_page, list_pages carries source_id — always use it when citing, never guess.

If a search result has source_id: "gstack" and slug: "plans/foo", the citation is [gstack:plans/foo]. That's the whole rule.

Anti-Patterns

• Answering questions about people/companies without checking the brain first
• Using external APIs before checking the brain
• Writing facts without inline [Source: ...] citations
• Blocking the response to do enrichment
• Overwriting user's direct statements with lower-authority sources
• Creating brain pages for non-notable entities

Tools Used

• search — keyword search
• query — hybrid vector+keyword search
• query_scan — cursor-paginated lexical/partial coverage scan
• temporal_search — date-windowed lookup across formed/recorded/indexed axes
• get_page — read a brain page
• put_page — create/update brain pages
• add_link — cross-reference entities
• add_timeline_entry — record events
• get_backlinks — check who references an entity
• sync_brain — sync changes to the index