Does it support session persistence?

Yes, the session-management hooks allow you to save, restore, and summarize development states, ensuring no context is lost between work sessions.

How does the neural pattern training work?

The system analyzes successful coding patterns and execution results to refine how agents are assigned and how tasks are performed in future operations.

What are Claude Code hooks?

Hooks are automated triggers that execute specific actions—like validation, formatting, or agent assignment—before or after Claude Code operations.

Can this skill manage multi-agent development?

Yes, it is designed to coordinate 'swarms' of agents, automatically spawning the best agent for a specific file type or task description.

Hooks Automation for Claude Code

Name: Hooks Automation for Claude Code
Author: ricable

byricable

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Productivity & Workflow

Automates Claude Code workflows through intelligent pre/post-operation hooks, agent coordination, and neural pattern learning.

About

Hooks Automation is a comprehensive orchestration system designed to streamline Claude Code operations by managing the entire development lifecycle. It integrates seamlessly with Model Context Protocol (MCP) tools and the SPARC framework to handle complex tasks like automated agent assignment, real-time code formatting, session persistence, and performance tracking. By leveraging neural pattern training, the skill continuously improves its efficiency based on successful coding patterns, ensuring that multi-agent swarms operate with maximum context awareness and minimal manual intervention.

Key Features

Pre-operation validation and automated agent assignment for complex tasks
Real-time performance metrics tracking and command execution logging
Cross-session memory persistence and state restoration for long-running projects
2 GitHub stars
Post-operation code formatting and automated output validation with linting
Neural pattern training that improves development workflows over time

Use Cases

Automating code quality checks and formatting after every AI-driven file modification
Maintaining deep context and memory across multiple Claude Code sessions
Orchestrating multi-agent swarms for large-scale codebase refactoring

About

Key Features

Pre-operation validation and automated agent assignment for complex tasks
Real-time performance metrics tracking and command execution logging
Cross-session memory persistence and state restoration for long-running projects
2 GitHub stars
Post-operation code formatting and automated output validation with linting
Neural pattern training that improves development workflows over time

Use Cases

Automating code quality checks and formatting after every AI-driven file modification
Maintaining deep context and memory across multiple Claude Code sessions
Orchestrating multi-agent swarms for large-scale codebase refactoring