What is Hooks Automation for Claude Code?

It is a specialized skill that uses pre- and post-operation triggers to automate tasks like syntax validation, code formatting, and session persistence within the Claude Code environment.

How does neural pattern training work?

The skill analyzes successful coding operations and execution results, storing them as neural patterns to optimize how Claude handles similar tasks and agent assignments in the future.

Does this skill support multi-agent development?

Yes, it includes specific hooks for agent spawning, swarm topology optimization, and cross-agent memory synchronization to coordinate complex tasks.

What are the requirements to use this skill?

You need the Claude Flow CLI installed, Claude Code with hooks enabled, and a properly configured .claude/settings.json file.

Hooks Automation for Claude Code

Name: Hooks Automation for Claude Code
Author: ellisapotheosis

byellisapotheosis

生产力与工作流

Automates and optimizes Claude Code workflows through intelligent pre- and post-operation hooks, session management, and neural pattern learning.

关于

Hooks Automation provides a robust orchestration layer for Claude Code, enabling developers to automate repetitive tasks like code formatting, syntax validation, and agent assignment. By integrating with MCP tools and utilizing neural pattern training, this skill maintains deep context across development sessions, synchronizes memory across agent swarms, and continuously learns from successful coding patterns to improve future performance and reliability.

主要功能

Neural pattern training for continuous workflow optimization
Pre-operation validation and automatic agent assignment
Persistent session management with state and context restoration
Cross-agent memory coordination via MCP integration
Post-operation code formatting and performance analysis
0 GitHub stars

使用场景

Managing complex multi-agent development tasks with swarm orchestration
Maintaining project context and architectural decisions across long-term development sessions
Automating code quality checks and formatting after every Claude-driven edit

关于

主要功能

Neural pattern training for continuous workflow optimization
Pre-operation validation and automatic agent assignment
Persistent session management with state and context restoration
Cross-agent memory coordination via MCP integration
Post-operation code formatting and performance analysis
0 GitHub stars

使用场景

Managing complex multi-agent development tasks with swarm orchestration
Maintaining project context and architectural decisions across long-term development sessions
Automating code quality checks and formatting after every Claude-driven edit