Does this skill work with MCP servers?

Yes, Hooks Automation is designed to integrate seamlessly with MCP servers like claude-flow and ruv-swarm to coordinate multi-agent swarm tasks.

What are pre-operation hooks in Claude Code?

Pre-operation hooks are automated actions that execute before a task begins, such as validating file syntax, checking for merge conflicts, or auto-assigning specific agents based on the task description.

Can I use this for automated Git commits?

Yes, the skill includes Git integration hooks that can automatically handle commit processes with built-in quality verification to ensure only stable code is committed.

What is neural pattern training in this context?

Neural pattern training is a continuous learning system that analyzes successful coding operations and edits to improve future AI coordination, search patterns, and decision-making.

How does the session management feature benefit developers?

Session management allows you to save and restore the state of your development environment, including memory, agent configurations, and metrics, ensuring continuity across multiple work sessions.

Hooks Automation for Claude Code

Name: Hooks Automation for Claude Code
Author: Activer007

byActiver007

Productividad y Flujo de Trabajo

Automates development workflows and agent coordination through intelligent pre- and post-operation hooks with neural pattern learning.

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Hooks Automation provides a robust framework for Claude Code that orchestrates complex development tasks by intercepting operations before and after execution. It manages everything from agent assignment and syntax validation to session state persistence and memory synchronization across swarm agents. By incorporating neural pattern training, the skill continuously improves its coordination logic based on successful coding patterns, making it an essential tool for developers looking to streamline high-volume or multi-agent AI coding workflows.

Características Principales

Intelligent Pre/Post operation hooks for file edits, bash commands, and tasks
Built-in safety checks including syntax validation and automatic file backups
Neural pattern training to learn and improve development workflows
Cross-agent memory coordination for synchronized knowledge sharing
Automated session management with state persistence and context restoration
0 GitHub stars

Casos de Uso

Automating code formatting, linting, and quality verification post-edit
Maintaining context and metrics across long-running development sessions
Orchestrating multi-agent swarms for complex feature implementations

Acerca de

Características Principales

Intelligent Pre/Post operation hooks for file edits, bash commands, and tasks
Built-in safety checks including syntax validation and automatic file backups
Neural pattern training to learn and improve development workflows
Cross-agent memory coordination for synchronized knowledge sharing
Automated session management with state persistence and context restoration
0 GitHub stars

Casos de Uso

Automating code formatting, linting, and quality verification post-edit
Maintaining context and metrics across long-running development sessions
Orchestrating multi-agent swarms for complex feature implementations