Visual Guide to Claude Code's 27 Hooks Lifecycle
Claude Code Hooks Lifecycle Documentation
A Reddit user has created a comprehensive resource explaining the complete hooks lifecycle in Claude Code. The project covers all 27 hooks available in the AI coding assistant.
What the Resource Contains
The resource provides a visual and audio walkthrough of every Claude Code hook, from SessionStart to FileChanged. It specifically shows:
- When each hook fires during development sessions
- The order in which hooks are triggered
- What data each hook receives when activated
Project Details
The entire project was created using Claude Code itself. This includes:
- The repository structure and code
- All audio components
- The complete presentation materials
The creator has made both the repository and a video tutorial available. The repository contains the actual implementation and examples, while the video provides a guided walkthrough of the hooks lifecycle.
Technical Context
Hooks in AI coding assistants like Claude Code are event-driven functions that allow developers to customize behavior at specific points in the development workflow. Understanding the complete lifecycle helps developers write more effective customizations and debug hook-related issues.
📖 Read the full source: r/ClaudeAI
👀 See Also
Building Claude Skills to Automate Cognitive Processes
Claude Code includes a built-in skill-creator that lets you build AI-powered skills by describing processes in natural language instead of writing code. The source describes creating a startup validation skill that reduced a 2-day manual process to 15 minutes.
Running Qwen3.6-35B-A3B with ~190k Context on 8GB VRAM + 32GB RAM – Setup & Benchmarks
A Reddit user shares a working llama.cpp configuration for Qwen3.6-35B-A3B GGUF models on an RTX 4060 (8GB VRAM) + 32GB DDR5, achieving 37-51 tok/s at 192k context using TurboQuant and specific flags.
Claude Code folder structure cheat sheet from Reddit user
A Reddit user created a cheat sheet for Claude Code's folder structure after encountering common pitfalls, covering .claude/ directory layout, hook events, settings.json, MCP config, skill structure, and context management thresholds.
OpenClaw Installation on MacBook Pro Using Local Homebrew and NVM
A user successfully installed OpenClaw on a MacBook Pro using a non-admin account with local Homebrew, NVM v0.40.4, Python 3.14.3 via pyenv, Node 24, and the Qwen3.5-122B-A10B-MLX-vision-4.7-bit LLM through oMLX.