mcpbeat

Brain:update

coco-research/brain:update

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.

2k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
196
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/coco-research/coco --skill brain:update

The instruction itself

10 sections, as written by the author

/brain:update --- End-of-Session Brain Flush

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.

Procedure

Step 1: Detect brain DB

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."

Step 2: Read current DB state (cross-session awareness)

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:

  • Existing entities (names and types) --- so you don't propose adding what's already there
  • Existing decisions (decision text) --- so you don't duplicate
  • Existing events (title + date) --- so you don't duplicate
  • Current task statuses --- so you don't regress a task that another session already advanced (e.g., don't set to "open" if another session set it to "done")

Conflict rules:

  • Entity already exists with newer metadata --- skip your update. The other session's data is fresher.
  • Decision already recorded --- skip. Match on first 40 chars of decision text.
  • Event already recorded --- skip. Match on title + date.
  • Task status conflict --- the MORE ADVANCED status wins. Status order: open < in_progress < blocked < waiting < done < cancelled. Never regress.
  • Task notes --- if brain has notes that your session doesn't know about, MERGE (append), don't overwrite.
  • New data from this session not in DB --- these are the writes to propose.

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.

Step 3: Scan the full conversation

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 |

Step 3: Execute writes immediately

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:

  • Entities (upsert --- safe to run repeatedly)
  • Relationships
  • Tasks (new + updates)
  • Threads + thread_items
  • Decisions
  • Events

Step 6: Report

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)

Step 6b: Sync to MemPalace and brain.json

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:

  • Copies new entities, decisions, and events to MemPalace as searchable drawers (wing = project slug, room = entity type)
  • Rebuilds brain.json people section from all brain DB person entities across all projects
  • 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.

Step 7: Update knowledge articles

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 2,3,5

Only 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 (total: 4)
Events:        +1 (total: 3)
Threads:       1 updated (total: 1)
Synced to:     MemPalace (N drawers), brain.json (N people)
Knowledge:     N articles refreshed  (N new entities, N updated)

Skip silently if:

  • ~/.coco/knowledge/ does not exist (knowledge engine not installed)
  • cron.py is unavailable or returns a non-zero exit code
  • The knowledge engine step takes more than 60 seconds (non-blocking)

Important Rules

  • Be thorough. Scan EVERY message. If someone was mentioned by name, they should be an entity. If something was decided, it should be a decision. If there's a next step, it should be a task.
  • Deduplicate. Check what already exists in the DB before proposing new writes. Use upsert_entity which matches on (project_id, type, name) or (project_id, type, external_id).
  • Date everything. Decisions and events need dates. Use today's date if the exact date isn't clear.
  • Attribute decisions. Record who decided, not just what was decided.
  • Link to threads. If a task, decision, or event belongs to an existing thread, link it.

How to use it

Copy the folder

Take coco-research/brain:update from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.