What is the primary benefit of using Hooks Automation?

It automates the operational overhead of AI coding by handling formatting, validation, agent assignment, and session management automatically.

Does this skill work with MCP servers?

Yes, it features deep MCP integration for coordinating swarm tools like claude-flow, ruv-swarm, and flow-nexus.

Can I restore a session after closing Claude Code?

Yes, the session-restore hook allows you to reload memory state, context, and specific agent configurations from previous sessions using a session ID.

How does the neural training feature work?

It analyzes successful coding patterns and edit contexts after post-operation hooks to improve Claude's decision-making and suggestions in future tasks.

Hooks Automation for Claude Code

Name: Hooks Automation for Claude Code
Author: Activer007

byActiver007

生产力与工作流

Optimizes and automates Claude Code workflows through intelligent pre- and post-operation hooks, session persistence, and neural pattern learning.

关于

Hooks Automation transforms Claude Code into a highly orchestrated development environment by implementing a comprehensive hook system that manages the entire lifecycle of coding tasks. It coordinates swarm agents via MCP, ensures code quality through automated formatting and validation, and maintains context across sessions using persistent memory. By utilizing neural pattern training, the skill learns from successful outcomes to improve future performance. It is an essential tool for developers looking to automate repetitive Git workflows, manage complex multi-agent assignments, and ensure a seamless, self-improving development experience.

主要功能

Automated post-operation code formatting and linting
Intelligent pre-operation validation and agent auto-assignment
Cross-agent memory synchronization via MCP integration
0 GitHub stars
Continuous neural pattern training from successful coding workflows
Persistent session management with context restoration

使用场景

Automating code quality checks and formatting after every AI-assisted edit
Managing complex multi-agent 'swarm' tasks with coordinated memory and state
Restoring long-running development sessions with full decision history and context

关于

主要功能

Automated post-operation code formatting and linting
Intelligent pre-operation validation and agent auto-assignment
Cross-agent memory synchronization via MCP integration
0 GitHub stars
Continuous neural pattern training from successful coding workflows
Persistent session management with context restoration

使用场景

Automating code quality checks and formatting after every AI-assisted edit
Managing complex multi-agent 'swarm' tasks with coordinated memory and state
Restoring long-running development sessions with full decision history and context