Hooks Automation

This is a comprehensive hook system that intercepts Claude Code operations at key points to automate agent coordination, code formatting, and pattern learning. The pre-task hooks analyze your work description and auto-spawn the right swarm agents, while post-operation hooks format code and store patterns in memory for future sessions. It includes Git commit hooks with quality verification, session state persistence, and what they call neural pattern training that learns from successful coding patterns. The MCP integration ties into claude-flow, ruv-swarm, and flow-nexus servers. Most useful when you're running complex multi-agent workflows and want automatic agent assignment based on file types, or when you need session continuity across coding sessions. The syntax validation and conflict detection on pre-edit hooks are solid guardrails for preventing broken commits.

GitHub stars: 240
last updated: Jun 11, 2026

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Install

$ npx -y skills add spencermarx/open-code-review --skill 'Hooks Automation' --agent claude-code

Installs into .claude/skills of the current project.

Files

Hooks Automation

Intelligent automation system that coordinates, validates, and learns from Claude Code operations through hooks integrated with MCP tools and neural pattern training.

What This Skill Does

This skill provides a comprehensive hook system that automatically manages development operations, coordinates swarm agents, maintains session state, and continuously learns from coding patterns. It enables automated agent assignment, code formatting, performance tracking, and cross-session memory persistence.

Key Capabilities:

Pre-Operation Hooks: Validate, prepare, and auto-assign agents before operations
Post-Operation Hooks: Format, analyze, and train patterns after operations
Session Management: Persist state, restore context, generate summaries
Memory Coordination: Synchronize knowledge across swarm agents
Git Integration: Automated commit hooks with quality verification
Neural Training: Continuous learning from successful patterns
MCP Integration: Seamless coordination with swarm tools