What problem does it solve? Manually coordinating agents, formatting code, tracking sessions, and persisting context across development sessions is repetitive and error-prone. This Skill automates those tasks through configurable pre/post-operation hooks integrated with MCP tools and memory coordination. ## Core Features & Use Cases - Pre/Post Operation Hooks: Validate syntax, auto-assign agents, and back up files before edits; auto-format, lint, and train neural patterns after edits. - Session & Memory Management: Start, restore, and end sessions with state persistence, metrics export, and cross-agent memory synchronization. - Git & MCP Integration: Wire hooks into Git pre-commit/pre-push quality gates and coordinate with MCP swarm tools for agent spawning and neural training. - Use Case: A team running multi-agent refactoring configures post-edit hooks so every file change is auto-formatted, stored in coordination memory, and used to train patterns, while a test engineer agent reads that memory to generate matching tests. ## Quick Start Ask the AI to initialize the hooks system with npx Codex-flow init --hooks and configure a post-edit hook that auto-formats files and stores edit context in memory.
