What are Claude Code hooks?

Hooks are automated scripts that trigger before or after specific operations—such as file edits, bash commands, or searches—to perform validation, formatting, or state management.

Can I use this skill for multi-agent coordination?

Yes, it features dedicated MCP integration hooks that synchronize memory and update agent rosters across swarms for complex project orchestration.

What is Neural Pattern Training in this context?

It is a feature that analyzes successful code edits and task completions to identify and store optimal coding patterns, improving Claude's future performance on your specific codebase.

How does session management help my development workflow?

It allows you to persist the current state of your project, including memory and agent configurations, so you can restore context and resume tasks exactly where you left off.

Does this skill support automatic code formatting?

Yes, the post-edit hook can be configured to automatically run language-specific formatters like Prettier, Black, or gofmt after Claude modifies a file.

Claude Code Hooks Automation

Name: Claude Code Hooks Automation
Author: Microck

byMicrock

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Productivity & Workflow

Automates development workflows and agent coordination through intelligent pre- and post-operation hooks with session persistence.

About

This skill provides a comprehensive automation framework for Claude Code, enabling developers to streamline complex workflows via intelligent hooks. By integrating with the Model Context Protocol (MCP), it coordinates swarm agents, manages session states, and implements neural pattern training to learn from successful coding operations. Whether it's auto-formatting code after an edit, validating safety before a bash command, or synchronizing memory across multiple agents, this skill ensures consistency, safety, and efficiency throughout the entire software development lifecycle.

Key Features

Session Persistence to save state, restore context, and generate work summaries
Swarm Agent Coordination through MCP integration and memory synchronization
Intelligent Pre/Post-Operation Hooks for automated task validation and processing
Neural Pattern Training that learns from successful coding outcomes for continuous improvement
Automated Performance Tracking with detailed metrics for duration, tokens, and file changes
89 GitHub stars

Use Cases

Tracking development progress and technical decisions across long-running coding sessions
Enforcing code quality by auto-formatting and linting files immediately after AI edits
Managing complex multi-agent development tasks with synchronized context and state

About

Key Features

Session Persistence to save state, restore context, and generate work summaries
Swarm Agent Coordination through MCP integration and memory synchronization
Intelligent Pre/Post-Operation Hooks for automated task validation and processing
Neural Pattern Training that learns from successful coding outcomes for continuous improvement
Automated Performance Tracking with detailed metrics for duration, tokens, and file changes
89 GitHub stars

Use Cases

Tracking development progress and technical decisions across long-running coding sessions
Enforcing code quality by auto-formatting and linting files immediately after AI edits
Managing complex multi-agent development tasks with synchronized context and state