What problem does it solve?
Claude Code operations generate complex, repetitive coordination tasks across multiple agents. This skill provides an automated hook system that validates, routes, formats, and learns from actions, reducing manual overhead and increasing consistency.
Core Features & Use Cases
- Pre-Operation Hooks: validate inputs, auto-assign agents, and prepare context before edits.
- Post-Operation Hooks: format, analyze, and train patterns after edits, while updating memory and metrics.
- Session Management: persist and restore cross-session context to maintain continuity.
- Memory Coordination: synchronize knowledge across swarm agents and memory namespaces.
- Git Integration: implement automated quality checks and commit hooks to ensure clean histories.
- Neural Training: continuously learn from successful patterns and export learnings for reuse.
- MCP Integration: coordinate with swarm tools for orchestration and state persistence.
Quick Start
Initialize the hooks system with default settings and begin coordinating agents.