brain
Use when the user says brain, project knowledge, what do we know about, open tasks, or recent decisions, or runs /brain or /brain-update. SQLite project_brain.db tracker for entities, relationships, tasks, threads, decisions, events.
- License 许可
- Apache-2.0
- 最近更新
- 2026-11-11
- Stars
- ★ 630
- Forks
- 15
01 前言 Front Matter
- name
- brain
- description
- Use when the user says brain, project knowledge, what do we know about, open tasks, or recent decisions, or runs /brain or /brain-update. SQLite project_brain.db tracker for entities, relationships, tasks, threads, decisions, events.
02 资源文件 12
- 脚本scripts/brain/__init__.py739 B
- 脚本scripts/brain/brain_cli.py24.4 KB
- 脚本scripts/brain/chroma_worker.py2.1 KB
- 脚本scripts/brain/document_reader.py4.6 KB
- 脚本scripts/brain/entity_extractor.py15.6 KB
- 脚本scripts/brain/exporter.py15.9 KB
- 脚本scripts/brain/memory_bridge.py31.9 KB
- 脚本scripts/brain/models.py3.3 KB
- 脚本scripts/brain/operations.py13.5 KB
- 脚本scripts/brain/queries.py5.7 KB
- 脚本scripts/brain/scanner.py9.6 KB
- 脚本scripts/brain/schema.py10.4 KB
03 SKILL.md 正文
/brain --- Project Knowledge Tracker
A structured SQLite database (project_brain.db) that lives in each project folder, replacing flat markdown memory files with queryable, relational knowledge.
Quick Reference
BRAIN="python3 ~/.claude/skills/brain/scripts/brain/brain_cli.py"
# Initialize in current project folder
$BRAIN init
# Create a project
$BRAIN add-project "My Project" --slug my-project --desc "Example project description"
# Add entities (upsert --- safe to run repeatedly)
$BRAIN add-entity my-project person "Alice Example" --external-id 2882
$BRAIN add-entity my-project team "Engineering" --external-id 33
$BRAIN add-entity my-project module "PlatformHub"
# Add relationships
$BRAIN add-rel 1 2 member_of
$BRAIN add-rel 1 3 administers
# Tasks
$BRAIN add-task my-project "Configure external reviewer access" --priority 1
$BRAIN update-task 1 --status in_progress
$BRAIN tasks my-project --status open
# Threads (group related work)
$BRAIN add-thread my-project "External User Access" --category request
$BRAIN link-thread 1 task 1
$BRAIN link-thread 1 decision 1
# Decisions
$BRAIN add-decision my-project 2026-04-08 "Use Stakeholder role for external users" \
--context "No license consumed, view-only" --decided-by You
# Events
$BRAIN add-event my-project 2026-04-08 call "Charlie Customer Call" \
--summary "Priorities deck shared" --participants "Alice,Bob,Charlie,You"
# CoCo context (session start)
$BRAIN context my-project
# Search across everything
$BRAIN context my-project --search "Morgan"
# Entity graph (show all connections)
$BRAIN graph 1
# Thread detail (show all linked items)
$BRAIN thread-detail 1
/brain:update --- End-of-Session Flush
This is the most important command. When the user runs /brain:update, Claude MUST do a thorough review of the entire conversation and write everything learned to the brain DB. This is a forcing function --- do not skip anything.
Procedure
-
Scan the full conversation from top to bottom. For each project in the brain DB, extract:
New entities --- any person, team, role, system, or module mentioned for the first time New relationships --- any connection between entities discovered (X owns Y, A reports to B, etc.) New decisions --- anything that was decided, agreed, confirmed, or resolved New events --- meetings, calls, emails read, milestones hit New tasks --- action items, to-dos, next steps, follow-ups Task updates --- tasks that changed status (done, blocked, in_progress) Entity updates --- new info about existing entities (role change, new metadata)
-
Present a summary table to the user showing what will be written:
BRAIN UPDATE SUMMARY ==================== New entities: 3 (Alice Chen, Bob Kumar, ...) New decisions: 2 (Use Stakeholder role, Sandbox all-or-nothing) New events: 1 (Charlie CSM call Apr 8) New tasks: 4 (Get reviewer details, Get sandbox access, ...) Task updates: 2 (task #3 -> blocked, task #5 -> blocked) New relationships: 1 (Alice administers Platform) Entity updates: 1 (Charlie Sohn: added CSM role metadata) -
Wait for user confirmation ("looks good" / "y" / adjustments)
-
Execute all writes via Python operations and report counts.
When to prompt the user
If the conversation has been long (>10 exchanges) and the user hasn't run /brain:update, gently suggest it:
"We've covered a lot this session. Want me to run
/brain:updateto capture everything before we wrap?"
Do NOT auto-run it. Always wait for the user to invoke or confirm.
Behavior Rules
Auto-write (no confirmation needed)
- Entity sync from your custom MCP (roles, teams, users)
- Changelog entries when entities are updated
- Task status updates
- Event logging from emails and meetings
Confirm-write (propose to user first)
- New decisions
- New relationships between entities
- Deleting or archiving entities
Semi-auto (extract and confirm)
- After reading emails: propose entities, events, tasks to add
- After meeting notes: propose decisions, action items, new stakeholders
DB Location
Each project folder gets its own project_brain.db:
MyProject/project_brain.db
E&C/project_brain.db
Optimize/project_brain.db
CoCo aggregates across all known DBs at session start.
Memory Architecture
The brain DB is the source of truth for all project knowledge. It syncs to two other stores:
| Store | Backend | What syncs | Why |
|---|---|---|---|
| MemPalace | ChromaDB (~/.mempalace/palace) | Entities, decisions, events → drawers | Semantic search across projects |
| brain.json | JSON (~/.coco/brain.json) | Person entities → people section | CoCo people graph, attention rules |
Sync happens automatically at end of /brain-update, /brain-init, and /brain-rescan via brain.memory_bridge.full_sync().
Write path: Always write to brain DB first → sync propagates to other stores.
Read path: Use Memory Bus (memory_search) for cross-store federated queries, or brain CLI for structured queries.
Schema (v1)
11 tables: projects, entities, relationships, tasks, threads, thread_items, decisions, events, changelog, tags, taggables
Entity types: person, team, role, system, module, org_unit, document Relationship types: member_of, owns, administers, reports_to, depends_on, blocks, scoped_to, created_by Task statuses: open, in_progress, blocked, waiting, done, cancelled Thread categories: feature, incident, request, decision, research Event types: meeting, email, call, milestone, deploy
04 同仓库更多 Skills
trading-super-intelligence
Trading Super Intelligence Team. Named real-world personas across 8 cells. Built local-first (LM Studio) and validator-gated. Illustrative composites; see DISCLAIMER.md.
strategy-super-intelligence
Strategy Super Intelligence Team. Named real-world personas across 7 cells. Built local-first (LM Studio) and validator-gated. Illustrative composites; see DISCLAIMER.md.
risk-compliance-super-intelligence
Risk & Compliance (GRC) Super Intelligence Team. Named real-world personas across 7 cells. Built local-first (LM Studio) and validator-gated. Illustrative composites; see DISCLAIMER.md.
product-design-super-intelligence
Your product + design brain trust and decision partner. Named personas across 8 cells spanning product strategy, discovery/research, growth/metrics, design foundations/usability, design leadership/craft, UX/content, design systems, and a…
legal-ip-super-intelligence
Your legal, IP, and regulatory brain trust. 31 named personas across 7 cells covering patent strategy, tech licensing, regulatory litigation, AI governance, open-source compliance, privacy law, and antitrust.
healthcare-life-sciences-super-intelligence
Your healthcare and life sciences brain trust. 25 named personas across 7 cells covering drug discovery, medtech, biotech strategy, health policy, genomics, clinical trials, and healthcare economics.