version: "1.0.0" name: use-crystallized-brain description: >- Layer-first retrieval from a Crystallized Intelligence for Agents brain via CLI or MCP. Use when BRAIN_ROOT is set, brain MCP tools are available, or the user asks to query/bootstrap/expand a domain brain without loading the full corpus.

Use Crystallized Brain

Procedure for agents. The brain holds mastery; this skill holds how to retrieve it cheaply.

When to use

• User or project has BRAIN_ROOT pointing at a brain (brain.yaml + corpus/)
• MCP server exposes brain_bootstrap, brain_expand, brain_search, brain_get_document
• Domain question needs curated knowledge, not a repo-wide file dump

Setup (once per machine)

export BRAIN_ROOT=/path/to/your-brain   # or examples/demo-brain in this repo

MCP: see docs/AGENT-INTEGRATION.md and docs/mcp-config.example.json.

Retrieval protocol (always follow)

1. Bootstrap first — brain bootstrap <domain> or brain_bootstrap(domain)

• Loads _crystal/seed.md + principles.md (~200–2.5K tokens)
• Enough for orientation and most routine answers

1. Expand only if needed — brain expand <domain> --query "..." --max-tokens 4000 --max-tier 3

• Tier-ranked: lower source_tier wins (0 = first-party)
• Default max_tier=3 unless user explicitly wants transcripts/social (4–5)

1. Search for paths — brain search <domain> "keyword" when you need filenames, not full bodies

1. Get one file — brain get <domain> <relative-path> for a single document

1. Never read entire sources/ trees or bulk-load corpus/ into context

Conflict resolution

When documents disagree:

1. Lower quality.source_tier (from frontmatter) wins
2. Higher quality.verification wins (canonical > expert_verified > …)
3. Higher quality.confidence wins
4. Prefer _crystal/ over knowledge/ over sources/ for operational answers

CLI examples

python tools/bin/brain.py domains
python tools/bin/brain.py bootstrap specialty-coffee
python tools/bin/brain.py bootstrap b2b-discovery
python tools/bin/brain.py expand b2b-discovery --query "disqualify" --max-tokens 4000 --max-tier 3
python tools/bin/brain.py search b2b-discovery "qualification"

All retrieval commands emit JSON with tokens_approx — stay within budget.

MCP tool mapping

Maintainer vs consumer

Do not crystallize or rewrite corpus unless the user is maintaining the brain.

Token budget

If bootstrap + one expand is insufficient, ask the user to narrow the question or add curated knowledge/ — do not escalate to full-corpus reads.