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jzhao234jzhao234/big-brain/skills/claude/brain/SKILL.md

brain

Skill1 starsChanged 32 days agoMITView on GitHub

Orient in the user's big-brain second brain and work brain-aware for the rest of the session. Use when the user types /brain, or asks "what am I working on", "what's on my plate", "catch me up", "what's overdue", or at the start of a session about ongoing work. Loads the vault overview, reports it in one screen, and keeps the vault updated as work happens.

25 other projects use a version of this.

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Projects with it also use research.

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  • NVIDIASkill

    research

    Before designing a feature, research how comparable libraries solve the problem, check best practices, known pitfalls, and upstream changes. Use when starting a new feature, investigating an unfamiliar area, or the user asks to research something.

    Also in 4 projects that use this

The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 0 are distinctive, and 3 are very specific to this project.

  • 0

    Common

    Most of the 20 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Run big-brain status (or call the brain_overview MCP tool).

    line 18
  2. Very specific:

    If the vault hasn't been linted recently, run big-brain doctor and surface only warnings.

    line 20
  3. Very specific:

    Treat it as a project or topic: big-brain show <arg> (falling back to big-brain search <arg>), then summarize where it stands (goal, …

    line 24

“Common” is measured: kept by at least 6 in 10 of the 20 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

brain

The big-brain vault is the user's external memory, shared by all their AI tools. This skill loads it and switches you into brain-aware mode. The vault is whichever one big-brain resolves using the BIG_BRAIN_VAULT env var, a --vault path, or the nearest brain.config.json. Use the big-brain CLI or the big-brain MCP tools; don't hardcode a vault path.

With no argument

  1. Run big-brain status (or call the brain_overview MCP tool).
  2. Report in one screen, BLUF: active projects with their next task, anything overdue or due this week, inbox count if it's piling up. No filler; skip empty sections.
  3. If the vault hasn't been linted recently, run big-brain doctor and surface only warnings.

With an argument

Treat it as a project or topic: big-brain show <arg> (falling back to big-brain search <arg>), then summarize where it stands (goal, status, open tasks, last Log entries) and ask what to work on.

Brain-aware mode (rest of the session)

From here on, keep the vault current as a side effect of the work:

  • Decisions, progress, and problems → big-brain daily --log "..." and a Log line on the affected project.
  • New commitments → project notes; new action items → big-brain task add.
  • Completed work → big-brain task done <id>.
  • Facts worth keeping with no obvious home → big-brain capture "...".

Do routine captures/logs without asking (mention them in one line); ask before rewriting or archiving existing notes. If the vault has git auto-commit enabled, these saves also commit and push on their own. At the end of a work session, make sure what happened is reflected in the vault. The next session (or another LLM) starts from there.

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