create-rule
Create Cursor rules for persistent AI guidance. Use when the user wants to create a rule, add coding standards, set up project conventions, configure…
SQLite-based project knowledge tracker. Manages entities, relationships, tasks, threads, decisions, and events per project folder. Use /brain to query or update project_brain.db. Triggers on: 'brain', 'project knowledge', 'what do we know about', 'open tasks', 'recent decisions'.
$ npx -y skills add coco-research/coco --skill brain --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/brainContext preview
The summary Claude sees to decide when to auto-load this skill.
SQLite-based project knowledge tracker. Manages entities, relationships, tasks, threads, decisions, and events per project folder. Use /brain to query or update project_brain.db. Triggers on: 'brain', 'project knowledge', 'what do we know about', 'open tasks', 'recent decisions'.
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."
A structured SQLite database (`project_brain.db`) that lives in each project folder, replacing flat markdown memory files with queryable, relational knowledge.
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
**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.
1. **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)
2. **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)
3. **Wait for user confirmation** ("looks good" / "y" / adjustments)
4. **Execute all writes** via Python operations and report counts.
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:update` to capture everything before we wrap?"
Do NOT auto-run it. Always wait for the user to invoke or confirm.
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.
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.
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
CoCo Super Intelligence is the orchestration layer that turns Claude Code, Cursor, or Codex into an engineering department: a routed advisory board, 185 skills, 280 commands, persistent state. Local. Open-core — MIT core; Super Intelligence is proprietary, own-use.
Repo: coco-research/coco
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