What are Claude Code hooks?

Hooks are automated scripts or commands that trigger before (pre) or after (post) specific Claude Code actions, such as editing files, running bash commands, or starting new tasks.

Can I customize the hook behaviors?

Yes, hook configurations are managed via the .claude/settings.json file, allowing you to toggle features like auto-formatting, safety checks, and neural training.

What is neural pattern training in this context?

It is a system that analyzes successful operations and task completions to improve how the AI assigns agents and approaches similar coding patterns in the future.

How does the session management feature work?

It automatically saves the state, memory, and context of your coding session, allowing you to restore the exact environment and agent configuration later.

Does this skill require specific software?

Yes, it requires the Claude Flow CLI (claude-flow) and Claude Code with hooks enabled to function correctly.

Hooks Automation

Name: Hooks Automation
Author: whrit

bywhrit

Productivity & Workflow

Automates and coordinates Claude Code operations through intelligent pre- and post-task hooks with MCP integration and neural pattern learning.

About

This skill provides an advanced automation framework for Claude Code, enabling developers to streamline their workflows using intelligent lifecycle hooks. It handles everything from pre-task agent assignment and syntax validation to post-task code formatting and neural pattern training. By integrating with the Model Context Protocol (MCP), it ensures seamless session persistence, memory coordination across swarm agents, and automated Git workflows, creating a more efficient, self-improving, and context-aware development environment.

Key Features

Neural pattern training that learns from successful coding workflows
Comprehensive session management with state persistence and summaries
Pre-operation validation and automated swarm agent assignment
Seamless MCP integration for coordinating complex multi-agent tasks
Post-operation code formatting, linting, and memory synchronization
0 GitHub stars

Use Cases

Maintaining context continuity across long-running development sessions using session restore
Automating code formatting and memory storage immediately after every file modification
Enforcing safety checks and resource estimation before executing destructive bash commands

About

Key Features

Neural pattern training that learns from successful coding workflows
Comprehensive session management with state persistence and summaries
Pre-operation validation and automated swarm agent assignment
Seamless MCP integration for coordinating complex multi-agent tasks
Post-operation code formatting, linting, and memory synchronization
0 GitHub stars

Use Cases

Maintaining context continuity across long-running development sessions using session restore
Automating code formatting and memory storage immediately after every file modification
Enforcing safety checks and resource estimation before executing destructive bash commands