create-rule
Create Cursor rules for persistent AI guidance. Use when the user wants to create a rule, add coding standards, set up project…
End-of-session brain flush. Scans the full conversation, extracts all new entities, decisions, tasks, events, relationships, and updates, presents a summary, and writes to project_brain.db after confirmation. Use at end of every session or when you want to capture everything
Claude Code
$ npx -y skills add coco-research/coco --skill brain-update --agent claude-code
Codex
$ npx skills add coco-research/coco --skill brain-update -a codex -y
Cursor
$ npx skills add coco-research/coco --skill brain-update -a cursor -y
Gemini CLI
$ npx skills add coco-research/coco --skill brain-update -a gemini-cli -y
GitHub Copilot
$ npx skills add coco-research/coco --skill brain-update -a github-copilot -y
OpenCode
$ npx skills add coco-research/coco --skill brain-update -a opencode -y
Windsurf
$ npx skills add coco-research/coco --skill brain-update -a windsurf -y
name: brain:update description: "End-of-session brain flush. Scans the full conversation, extracts all new entities, decisions, tasks, events, relationships, and updates, presents a summary, and writes to project_brain.db after confirmation. Use at end of every session or when you want to capture everything discussed."
**This is a forcing function.** When invoked, Claude MUST thoroughly review the entire conversation and write everything learned to the brain DB. No shortcuts, no skipping.
Look for `project_brain.db` in the current working directory or parent dirs. If not found, error: "No brain DB found. Run `/brain init` first."
**CRITICAL --- the user runs multiple terminal sessions in parallel.** Another session may have already written to the brain since this conversation started. Before extracting, read the current DB state:
python3 ~/.claude/skills/brain/scripts/brain/brain_cli.py context {slug}For each project, note:
**Conflict rules:**
Show any conflicts detected:
CROSS-SESSION CONFLICTS ======================= Task "Get sandbox access" --- brain says "done" (updated by another session), this session would set "open". KEEPING "done". Decision "Use Stakeholder role..." --- already in brain. SKIPPING.
Go through every message from top to bottom. For EACH project in the brain DB, extract:
| Category | What to look for | |----------|-----------------| | **New entities** | Any person, team, role, system, module, or org mentioned for the first time | | **New relationships** | Connections discovered: X owns Y, A reports to B, team scoped to module | | **New decisions** | Anything decided, agreed, confirmed, resolved, or ruled out | | **New events** | Meetings, calls, emails read, milestones, deployments | | **New tasks** | Action items, to-dos, next steps, follow-ups, blockers identified | | **Task updates** | Existing tasks that changed status (started, completed, blocked, cancelled) | | **Entity updates** | New info about existing entities (role change, new metadata, correction) | | **Thread updates** | New items to link to existing threads, or new threads to create |
**The user invoked `/brain-update` --- that IS the confirmation. Do NOT ask "Write all to brain?" or wait for approval. Just do it.**
Use Python to write all items via the brain operations module:
import sys sys.path.insert(0, '$HOME/.claude/skills/brain/scripts') from brain.schema import get_db from brain.operations import *
Write in this order: 1. Entities (upsert --- safe to run repeatedly) 2. Relationships 3. Tasks (new + updates) 4. Threads + thread_items 5. Decisions 6. Events
BRAIN UPDATED ============= Entities: +3 (total: 47) Relationships: +1 (total: 37) Tasks: +2, ~3 updated (total: 8) Decisions: +1 (total: 4) Events: +1 (total: 3) Threads: 1 updated (total: 1) Synced to: MemPalace (N drawers), brain.json (N people)
After all brain DB writes complete, run the memory bridge to sync new knowledge to the other memory stores:
from brain.memory_bridge import full_sync full_sync(db_path, project_slug)
This: 1. Copies new entities, decisions, and events to MemPalace as searchable drawers (wing = project slug, room = entity type) 2. Rebuilds brain.json people section from all brain DB person entities across all projects 3. Is best-effort — if MemPalace or brain.json sync fails, brain DB data is still safe
The sync is automatic. No user confirmation needed for this step.
After brain DB writes complete and `full_sync` runs (Step 6b), incrementally update knowledge articles for entities whose evidence has changed in this session.
**Collect changed entity IDs** from the writes performed in Step 3 (entities upserted, decisions/events written). Pass these to the knowledge engine for targeted refresh:
import sys, os
sys.path.insert(0, os.path.expanduser("~/.coco/knowledge"))
from engine import KnowledgeEngine
engine = KnowledgeEngine()
# changed_entity_ids = list of brain DB entity IDs written in this session
engine.incremental_update(project_slug, changed_entity_ids)Or equivalently via CLI (re-harvests all entities but only regenerates stale ones):
python3 ~/.coco/knowledge/cron.py --run --project {slug} --phases 2,3,5Only articles whose `source_hash` changed are regenerated. Expected: 1–5 article regenerations per typical session. Estimated cost: ~$0.01.
Show result **inline in the existing brain-update summary block**:
BRAIN UPDATED ============= Entities: +3 (total: 47) Relationships: +1 (total: 37) Tasks: +2, ~3 updated (total: 8) Decisions: +1
495 personas across 13 departments, 229 skills[^installed] and 388 commands in the full catalog (coco 1.9.0, 2026-10-21). Agent skills, slash commands and subagents for Claude Code, Cursor, Codex and other AI coding agents.
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