Does it support session persistence?

Absolutely. It provides session-start, restore, and end hooks that allow you to save state, restore memory from previous sessions, and generate comprehensive work summaries.

What are pre-operation hooks in this skill?

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

What is required to run Hooks Automation?

You need the Claude Flow CLI and Claude Code with hooks enabled, typically configured via your .claude/settings.json file.

Can I use Hooks Automation with Git?

Yes, the skill includes built-in Git integration for automated commit hooks and quality verification, ensuring that AI-generated code meets your repository standards.

How does the neural training feature work?

The system analyzes successful coding patterns and task outcomes post-operation, exporting these learnings to improve future agent performance and decision-making logic.

Hooks Automation

Name: Hooks Automation
Author: Microck

byMicrock

•

Productivity & Workflow

Automates development workflows and agent coordination through intelligent pre- and post-operation hooks integrated with MCP tools.

About

Hooks Automation is an advanced orchestration layer for Claude Code that streamlines complex development tasks by automating routine operations. By utilizing intelligent pre-task validations and post-task processing, it ensures code quality through auto-formatting, maintains state across sessions, and employs neural pattern training to learn from successful coding iterations. This skill is essential for developers managing swarm agents or large-scale projects who require persistent memory, automated Git integration, and seamless MCP tool coordination to maintain a high-velocity development cycle.

Key Features

81 GitHub stars
Post-operation code formatting and output validation
Neural pattern training for continuous workflow improvement
Persistent session management and context restoration
Cross-agent memory coordination and synchronization
Automated pre-operation validation and agent assignment

Use Cases

Orchestrating multi-agent swarm workflows for complex refactoring tasks
Maintaining development context and metrics across multiple long-term coding sessions
Automating code quality checks and Git commit formatting during AI-driven edits

About

Key Features

81 GitHub stars
Post-operation code formatting and output validation
Neural pattern training for continuous workflow improvement
Persistent session management and context restoration
Cross-agent memory coordination and synchronization
Automated pre-operation validation and agent assignment

Use Cases

Orchestrating multi-agent swarm workflows for complex refactoring tasks
Maintaining development context and metrics across multiple long-term coding sessions
Automating code quality checks and Git commit formatting during AI-driven edits