
Brain Ops
- 293 installs
- 27.8k repo stars
- Updated August 5, 2026
- garrytan/gbrain
Run day-to-day gbrain operations such as capturing notes, routing tasks, syncing knowledge, and iterating personal or team operating rhythms through the brain system.
About
Covers operational playbooks for Garry Tan’s gbrain knowledge system: how to capture ideas, maintain note structure, execute recurring workflows, and iteratively tune personal productivity rails so the brain stays current and actionable over time.
- Note ingestion and triage routines
- Task and priority routing patterns
- Knowledge base hygiene practices
- Recurring ops checklists for gbrain
- Lightweight iteration on personal systems
Brain Ops by the numbers
- 293 all-time installs (skills.sh)
- Ranked #913 of 3,282 Productivity & Planning skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 293 |
|---|---|
| repo stars | ★ 27.8k |
| Last updated | August 5, 2026 |
| Repository | garrytan/gbrain ↗ |
What it does
Run day-to-day gbrain operations such as capturing notes, routing tasks, syncing knowledge, and iterating personal or team operating rhythms through the brain system.
Files
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 5-step lookup protocol.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. gbrain search "name" — keyword search for existing pages 2. gbrain query "natural question about name" — hybrid search for context 3. gbrain get <slug> — if you know the slug, read the full page 4. Check backlinks: who references this entity? 5. 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_linkcalls needed for ordinary page writes. - Inferred link types:
attended(meeting -> person),works_at,invested_in,
founded, advises, source (frontmatter), mentions (default).
- The
put_pageMCP response includesauto_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), neversources.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 searchquery— hybrid vector+keyword searchget_page— read a brain pageput_page— create/update brain pagesadd_link— cross-reference entitiesadd_timeline_entry— record eventsget_backlinks— check who references an entitysync_brain— sync changes to the index