How does the memory coordination feature work?

It synchronizes knowledge across multiple swarm agents using MCP tools, allowing agents to share context, resolve conflicts, and maintain consistency across a project.

Can I restore a previous coding session?

Yes, the session-restore hook allows you to reload context, memory states, and agent configurations from previous work sessions to resume exactly where you left off.

What are pre-operation hooks used for?

Pre-operation hooks validate syntax, check command safety, and auto-assign the best agents before any code modifications or bash commands are executed.

Does this skill support automated code formatting?

Yes, it includes post-edit hooks that automatically format code after an edit using language-specific tools like Prettier, Black, or gofmt.

Hooks Automation

Name: Hooks Automation
Author: Microck

byMicrock

•

Productivity & Workflow

Streamlines development workflows by automating pre- and post-operation tasks, managing session states, and coordinating multi-agent memory.

About

Hooks Automation provides a robust framework for Claude Code that integrates intelligent triggers into every stage of the development lifecycle. By leveraging MCP tools and neural pattern training, this skill automates essential tasks such as code formatting, syntax validation, and session persistence, while also facilitating knowledge sharing across swarm agents. It is particularly useful for developers managing complex, multi-session projects who need consistent context, safety checks for CLI commands, and automated performance tracking to improve AI-driven coding efficiency.

Key Features

Automated code formatting and post-edit output processing
Session management with state persistence and summaries
81 GitHub stars
Seamless Git integration with automated quality verification
Cross-agent memory coordination and neural pattern learning
Pre-operation safety checks and syntax validation

Use Cases

Managing long-running development sessions across multiple AI agents
Coordinating complex swarm agent tasks with shared memory namespaces
Automating code quality checks before and after AI-driven file edits

About

Key Features

Automated code formatting and post-edit output processing
Session management with state persistence and summaries
81 GitHub stars
Seamless Git integration with automated quality verification
Cross-agent memory coordination and neural pattern learning
Pre-operation safety checks and syntax validation

Use Cases

Managing long-running development sessions across multiple AI agents
Coordinating complex swarm agent tasks with shared memory namespaces
Automating code quality checks before and after AI-driven file edits