Agent skill · Code Review & Quality

company-brain

Your team's shared, AI-ready knowledge base — people, companies, meetings, SOPs, and decisions structured so Claude can answer questions on your team's behalf. Team-scope sibling to second-brain (which is personal-scope). Seven modes — capture (drop something into the right structured dir), compile (process into wiki pages, update INDEX.md), query (answer from the corpus with trust weighting, save to outputs/), review (triage queue — verify / deprecate / supersede unreviewed and stale captures so wrong info never becomes context), lint (orphans / stale / contradictions / gaps), connect (sugges

coreyhaines31github.com/coreyhaines31GitHub ↗
claude-codeMIT
Install
npx skills add coreyhaines31/makerskills --skill company-brain --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 4
SKILL.md size: 18 KB
Bundled scripts: none
Version: 0.2.0
Path: skills/company-brain/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 500

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# /company-brain — Team-shared AI-ready knowledge base **Company Brain** *(n.)*: Your team's shared, AI-ready knowledge base — people, companies, meetings, SOPs, and decisions structured so Claude can answer questions on your team's behalf. Team-scope sibling to `second-brain` (personal-scope). Same core compile → wiki → outputs pattern; different raw schema optimized for multi-author, sales-heavy, ops-heavy team use. Also the operational backbone for the **Company Brain Setup** productized service (was previously called "Second Brain as a Service"; renamed to match the skill). ## Mental model Three layers, same as second-brain — but the raw/ layer is *structured*, not flat: ``` raw/ → wiki/ → outputs/ (structured (compiled (generated by category) interlinked) artifacts) ``` **Structured raw/ dirs** (each is its own top-level folder in the vault): | Dir | What lives here | |---|---| | `people/` | Contacts with context — CRM-lite. One markdown file per person. | | `companies/` | Org profiles — last touchpoint, opportunity size, status. One file per company. | | `meetings/` | Call/meeting transcripts + notes. Naming: `YYYY-MM-DD-<company-or-topic>-<slug>.md`. Auto-sync source. | | `s

What's inside
Steps it walks through
  1. Mental model
  2. Multi-author discipline
  3. Trust levels
  4. Step 1 — Load vault config + schema
  5. Step 2 — Parse mode
  6. Step 3 — Run the mode
  7. capture
  8. compile
  9. query
  10. review
  11. lint
  12. connect
  13. search
  14. Optional: auto-sync sources
Ships with 3 files
  • references/auto-sync-sources.md
  • references/schema.md
  • references/vault-config.md
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About this skill
What does the company-brain skill do?

Your team's shared, AI-ready knowledge base — people, companies, meetings, SOPs, and decisions structured so Claude can answer questions on your team's behalf. Team-scope sibling to second-brain (which is personal-scope). Seven modes — capture (drop something into the right structured dir), compile (process into wiki pages, update INDEX.md), query (answer from the corpus with trust weighting, save to outputs/), review (triage queue — verify / deprecate / supersede unreviewed and stale captures so wrong info never becomes context), lint (orphans / stale / contradictions / gaps), connect (sugges

How do I install it?

Run `npx skills add coreyhaines31/makerskills --skill company-brain --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From coreyhaines31/makerskills, a repository with 500 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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