brain-approve
Approve, reject, or manage pending brain memories. Use: /brain-approve [all|<id>]
Update claude-teams-brain from GitHub. Pulls latest changes, syncs to plugin cache, and reports what changed. Trigger: /brain-update
$ npx -y skills add Gr122lyBr/claude-teams-brain --skill brain-update --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/brain-updateContext preview
The summary Claude sees to decide when to auto-load this skill.
Update claude-teams-brain from GitHub. Pulls latest changes, syncs to plugin cache, and reports what changed. Trigger: /brain-update
name: brain-update description: | Update claude-teams-brain from GitHub. Pulls latest changes, syncs to plugin cache, and reports what changed. Trigger: /brain-update user_invocable: true
Pull the latest version of claude-teams-brain from GitHub and sync it to the local plugin cache.
Run:
bash "${CLAUDE_PLUGIN_ROOT}/scripts/update.sh"After the script completes, display the results as markdown:
## claude-teams-brain update - [x] Pulled latest from GitHub - [x] Synced to plugin cache - [x] Version: <version> - [x] Changes: <summary of changed files or "already up to date">
Use `[x]` for success, `[ ]` for failed steps. If hooks or settings changed, tell the user to restart Claude Code to apply them.
Give your Claude Code Agent Teams a memory. Auto-injects role-specific context into every new teammate — your team never starts blind again.
Repo: Gr122lyBr/claude-teams-brain
Approve, reject, or manage pending brain memories. Use: /brain-approve [all|<id>]
Launch the brain dashboard web UI to visualize and curate memories, decisions, and files. Trigger: /brain-dashboard
Export accumulated brain knowledge as a CONVENTIONS.md file in your project. Distills all rules, decisions, files, and agent roles into a committable file.
Remove a manually stored memory from the brain by partial text match. Use: /brain-forget <text>
Export accumulated brain knowledge as `CONVENTIONS.md` and open a GitHub PR so your whole team can review what the AI team learned.