What problem does it solve?
This Skill provides an intelligent automation system that coordinates, validates, and learns from Claude Code operations through hooks, enabling automated agent assignment, code formatting, performance tracking, and cross-session memory persistence.
Core Features & Use Cases
- Pre/Post Operation Hooks: Automates tasks before (e.g., validate syntax, assign agents) and after (e.g., auto-format, train neural patterns) code edits, bash commands, and complex tasks.
- Memory & Neural Training: Integrates with a memory coordination protocol to synchronize knowledge across swarm agents and continuously learns from successful patterns.
- Session & Git Integration: Manages session state persistence, restores context, and integrates with Git for quality control via pre-commit/post-commit hooks.
- Use Case: Configure a
post-edit hook to automatically format code, store edit context in memory, and train neural patterns after every file modification, ensuring consistent code quality and continuous learning.
Quick Start
Use the hooks-automation skill to initialize the hooks system, then configure a post-edit hook to automatically format code and store edit context in memory after every file modification.
