How does session management work in this skill?

The skill can save the current state, memory, and metrics of a coding session, allowing you to restore the exact context later or generate summaries of work performed.

What is 'Neural Training' in the context of this skill?

It is a feature that analyzes successful operation outcomes to improve future agent decisions and search patterns, effectively allowing your local AI agent to get smarter over time.

What are the primary benefits of using Hooks Automation?

It automates repetitive developer tasks like formatting and validation, maintains state across different sessions, and allows the AI to learn from previous coding patterns.

Does this skill require any specific CLI tools?

Yes, it requires the Claude Flow CLI (npm install -g claude-flow@alpha) and Claude Code with hooks enabled to function as intended.

Can I integrate this with my existing Git workflow?

Absolutely. It includes Git integration for automated commit hooks, conflict checking, and quality verification before and after edits.

Hooks Automation for Claude Code

Name: Hooks Automation for Claude Code
Author: ricable

byricable

•

Productividad y Flujo de Trabajo

Automates and optimizes development workflows through intelligent pre- and post-operation hooks, session persistence, and neural pattern learning.

Acerca de

This skill provides a robust orchestration framework for Claude Code, enabling developers to automate repetitive tasks and maintain state across complex coding sessions. By implementing a comprehensive system of pre- and post-operation hooks, it handles critical development needs such as agent auto-assignment, syntax validation, code formatting, and cross-session memory synchronization. Integrated with MCP tools and the SPARC framework, the skill allows your AI environment to continuously learn from successful patterns, ensuring higher quality code generation and more efficient multi-agent coordination.

Características Principales

Automated pre- and post-operation hook orchestration
Neural pattern training for continuous workflow improvement
Persistent session management with context restoration
Intelligent agent auto-assignment and swarm topology optimization
2 GitHub stars
Seamless Git integration with quality verification and automated commits

Casos de Uso

Tracking performance metrics and token usage across long-running project sessions
Enforcing code quality through automated formatting and syntax checks after AI edits
Orchestrating complex multi-agent development tasks with shared memory

Acerca de

Características Principales

Automated pre- and post-operation hook orchestration
Neural pattern training for continuous workflow improvement
Persistent session management with context restoration
Intelligent agent auto-assignment and swarm topology optimization
2 GitHub stars
Seamless Git integration with quality verification and automated commits

Casos de Uso

Tracking performance metrics and token usage across long-running project sessions
Enforcing code quality through automated formatting and syntax checks after AI edits
Orchestrating complex multi-agent development tasks with shared memory