By netzkontrast
Self-improving learning system that detects friction signals (corrections, repetitions, tool failures), extracts improvement candidates, and proposes rule/skill updates with explicit approval workflow.
Executes bash commands
Hook triggers when Bash tool is used
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Self-improving learning system for Claude Code that detects friction signals and proposes rule updates.
This is an Agent Skill following the open standard originally developed by Anthropic and released for cross-platform use.
Supported Platforms:
Skills are portable packages of procedural knowledge that work across any AI agent supporting the Agent Skills specification.
/coach scan checks for outdated CLI tools and project dependenciesInstall via Claude Code plugin marketplace or manually:
claude plugins add netresearch/claude-coach-plugin
| Command | Description |
|---|---|
/coach status | Show system status and statistics |
/coach review | Show pending learning proposals |
/coach approve <id> | Approve and apply a proposal |
/coach reject <id> | Reject a proposal with reason |
/coach edit <id> | Edit a proposal before approving |
/coach promote <id> | Promote project rule to global |
/coach scan | Scan for outdated tools and dependencies |
/coach init | Initialize the coach system |
Hooks detect friction signals as you work:
UserPromptSubmit: Detects corrections and repetition in user messagesPostToolUse: Captures command failures with exit codesStop: Runs full aggregation at session endSignals are stored in ~/.claude-coach/events.sqlite
Candidates are generated from patterns in signals
Review candidates with /coach review and approve/reject
Rules are added to your CLAUDE.md files
The plugin auto-configures hooks. For manual configuration or customization, see hooks/hooks.json.
MIT
Agency framework: 54 imported skills (39 sc-* + 15 superpowers-*) + 16 sub-agents (sc-pm-agent excluded — /sc:pm-only per CLAUDE.md §13.1) + 5 D.7-compliant event hooks (planned ST-3) + the agency governance substrate (Task / Prompt / Research / ADR layers).
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