Hooks Automation

Automate Claude Code hooks with MCP integration for session and Git workflows.

67.5k|8.1k|Updated Jun 2, 2025
One-click install
npx skills add https://github.com/ruvnet/claude-flow --skill hooks-automation-ruvnet
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Hooks Automation
Source: https://github.com/ruvnet/claude-flow/tree/main/.claude/skills/hooks-automation
Command: npx skills add https://github.com/ruvnet/claude-flow --skill hooks-automation-ruvnet

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires claude-flow@alpha, node, and includes scripts (resource) components.

What problem does it solve?

This Skill automates repetitive development tasks, ensures consistency, and enables continuous learning from every Claude Code operation. It streamlines workflows by automatically assigning agents, formatting code, managing sessions, and integrating with Git, reducing manual overhead and improving overall efficiency.

Core Features & Use Cases

  • Pre/Post Operation Hooks: Automate actions before (validation, agent assignment) and after (formatting, learning) tasks.
  • Session & Memory Management: Persist context, restore sessions, and synchronize knowledge across agents for seamless continuity.
  • Git Integration: Implement automated pre-commit, post-commit, and pre-push quality gates for robust version control.
  • Use Case: When an agent modifies a file, a post-edit hook can automatically format the code, run linting, store the changes in collective memory, and train neural patterns for future improvements, all without manual intervention.

Quick Start

Initialize Hooks System

npx claude-flow init --hooks

Pre-task hook (auto-spawns agents)

npx claude-flow hook pre-task --description "Implement authentication"

Post-edit hook (auto-formats and stores in memory)

npx claude-flow hook post-edit --file "src/auth.js"

Frequently Asked Questions about Hooks Automation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate pre and post-operation hooks in Claude Code workflows?

Pre and post-operation hooks automate actions before tasks (validation, agent assignment) and after edits (formatting, linting, memory storage). Initialize with `npx claude-flow init --hooks`, then define hooks for pre-task, post-edit, and other lifecycle events to run quality checks and learning without manual intervention.

Can I integrate Git automation with Claude Code operations?

Yes. Git integration implements pre-commit, post-commit, and pre-push quality gates that automatically validate, format, and commit changes. Post-edit hooks can trigger linting and automated commits, ensuring code quality checks run consistently across version control workflows.

What's the best way to persist and restore sessions across Claude Code agents?

Session and memory management stores context and synchronizes knowledge across agents through memory coordination. Export and restore sessions to maintain continuity, allowing agents to access collective memory and learn from prior operations without repeating setup or losing context.

How does continuous learning work when agents modify files?

Post-edit hooks capture file modifications, format code, run linting, store changes in collective memory, and train neural patterns from every operation. This automatic learning loop builds knowledge across workflows, improving future agent decisions without manual tracking.

Do I need Node.js and claude-flow to set up workflow automation?

Yes. Hooks Automation requires Node.js and claude-flow@alpha as dependencies. Initialize the hooks system with `npx claude-flow init --hooks` to enable pre/post operation automation, session management, and Git integration across Claude Code workflows.

What happens if pre-task agent assignment or post-edit formatting fails?

Hooks include built-in quality checks and validation gates. If pre-task assignment fails, the hook prevents execution; if post-edit formatting encounters errors, the operation halts before memory storage. Constraint handling ensures consistency, though edge cases with complex multi-agent coordination may require manual oversight.