What are pre-operation hooks in this skill?

Pre-operation hooks are automated triggers that validate code syntax, check for merge conflicts, and assign the best-suited AI agents before any file modifications or bash commands are executed.

What is neural pattern training for Claude Code?

Neural pattern training is a feature that analyzes successful coding operations and stores those patterns to improve the future accuracy and efficiency of AI-driven development tasks.

Do I need the Claude Flow CLI to use this skill?

Yes, this skill requires the Claude Flow CLI (claude-flow@alpha) for initializing the hooks system and managing the coordination of swarm agents.

How does the session management feature work?

It allows users to initialize, save, and restore the state of a development session, including memory, metrics, and agent configurations, ensuring seamless continuity between work periods.

Hooks Automation for Claude Code

Name: Hooks Automation for Claude Code
Author: Microck

byMicrock

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生产力与工作流

Automates development workflows by coordinating tasks, validating operations, and learning from coding patterns through intelligent hooks.

关于

Hooks Automation is a comprehensive orchestration system designed to streamline Claude Code operations through a series of intelligent pre- and post-operation triggers. By integrating with MCP tools and neural pattern training, this skill automates repetitive development tasks such as agent assignment, syntax validation, code formatting, and session state persistence. It bridges the gap between individual coding tasks and a unified, learning-aware development environment, making it an essential tool for developers managing complex codebases or multi-agent swarm configurations where context continuity and quality control are paramount.

主要功能

Comprehensive session management with state persistence and context restoration
Post-task code formatting and neural pattern learning for continuous improvement
Seamless MCP integration for coordinating swarm agents and tools
81 GitHub stars
Automated Git integration with quality verification and commit hooks
Automated pre-operation validation and intelligent agent assignment

使用场景

Coordinating complex swarm-based refactoring tasks across large codebases
Enforcing consistent code style and syntax validation during automated edits
Maintaining development context and memory across multi-day coding sessions

关于

主要功能

Comprehensive session management with state persistence and context restoration
Post-task code formatting and neural pattern learning for continuous improvement
Seamless MCP integration for coordinating swarm agents and tools
81 GitHub stars
Automated Git integration with quality verification and commit hooks
Automated pre-operation validation and intelligent agent assignment

使用场景

Coordinating complex swarm-based refactoring tasks across large codebases
Enforcing consistent code style and syntax validation during automated edits
Maintaining development context and memory across multi-day coding sessions