What problem does it solve? Teams need a reliable way to enforce behavioral policies on AI coding agents—blocking risky commands, injecting context at the right moment, or automating session lifecycle actions—without manually editing configuration files from scratch. ## Core Features & Use Cases - Conversation-Driven Extraction: Reviews the conversation history to generalize user concerns (e.g., "don't run this command") into enforceable hook policies. - Guided Hook Authoring: Drafts hook JSON files in .github/hooks/ with companion scripts, following the agent-customization guidelines and hooks.md template. - Iterative Refinement: Identifies ambiguous parts of the draft, asks clarifying questions, and summarizes what the hook enforces with testing suggestions. - Use Case: A user repeatedly tells the agent not to run destructive git commands. This Skill converts that concern into a PreToolUse hook that blocks matching commands automatically. ## Quick Start Ask the agent to create a hook that blocks a specific command or injects context at session start, and it will draft the JSON file in .github/hooks/ for you.