Hooks Automation

Coordinate Claude Code operations with MCP-integrated hooks and swarm agents.

7|1|Updated Mar 27, 2026

Search Tags:#automation #git #hooks #mcp #memory #swarm #claude-flow

Ready to run

npx skills add https://github.com/pacphi/emailibrium --skill hooks-automation-pacphi

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Hooks Automation
Source: https://github.com/pacphi/emailibrium/tree/main/.claude/skills/hooks-automation
Command: npx skills add https://github.com/pacphi/emailibrium --skill hooks-automation-pacphi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automate the coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration to reduce manual overhead and improve development workflows.

Core Features & Use Cases

Pre-Operation Hooks: validate, prepare, and auto-assign agents before operations.
Post-Operation Hooks: format, analyze, and train neural patterns after operations; synchronize memory across swarm agents.
Session & Memory Management: persist state, restore context, and generate summaries across sessions.
Git Integration: automated commit hooks with quality verification.
Neural Training & MCP Integration: continuous learning from successful patterns and seamless coordination with swarm tools.

Quick Start

Initialize the Hooks Automation system with default MCP integration and run a sample pre-task to observe coordination.

Frequently Asked Questions about Hooks Automation

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

FAQPage Schema

How do I automate Git commit hooks with quality verification in Claude Code?▼

Automate Git commit hooks with quality verification by configuring post-operation hooks to format, analyze, and validate changes. This integration synchronizes memory across swarm agents, ensuring automated commits meet quality standards before finalizing operations.

What are pre-operation and post-operation hooks in multi-agent development workflows?▼

Pre-operation hooks validate, prepare, and auto-assign agents before tasks begin. Post-operation hooks format, analyze, and train neural patterns after operations complete, enabling continuous learning from successful patterns across the swarm.

How do I persist state and restore context across Claude Code sessions?▼

Persist state and restore context across Claude Code sessions using built-in session and memory management features. The system generates summaries, maintains explicit memory keys, and coordinates memory synchronization across swarm agents for seamless context restoration.

Can I use MCP integration to coordinate swarm agents for automated task execution?▼

Yes, MCP integration coordinates swarm agents for automated task execution by managing agent rosters and performance metrics. The system handles configuration, error handling, and learning loops, enabling seamless tool coordination throughout multi-agent development workflows.

What's the best way to train neural patterns from successful Claude Code operations?▼

Train neural patterns from successful Claude Code operations by enabling post-operation hooks that analyze completed tasks and synchronize learnings across memory. This continuous learning loop improves future automation decisions and agent coordination.

Do I need explicit memory keys and agent rosters configured before using Claude hooks automation?▼

Explicit memory keys and agent rosters are managed by the system during hook initialization and task coordination. The automation handles configuration automatically, applying performance metrics and error handling throughout multi-agent workflows.