revu

cc-lib

A curated plugin marketplace for Claude Code, providing specialized AI agents for development productivity.

Overview

cc-lib is a collection of production-ready plugins that extend Claude Code's capabilities. Each plugin contains specialized agents designed for specific development tasks - from code reviews and testing to documentation generation and autonomous development loops.

What It Provides

Category	Plugins	Agents
Orchestration	orch	Task orchestration, parallel execution, context management
Testing	test	Test generation, execution, and failure resolution
Code Review	revu	Code, architecture, security, documentation, and commit reviews
Feature Dev	feat	Design, implementation planning, and scaffolding
Documentation	docu	API docs, README generation, code explanation
Debugging	fix	Code cleaning and systematic debugging
Autonomous	ralph	RALPH - iterative autonomous development loop

Installation

Add the Marketplace

/plugin marketplace add k-park/cc-lib

Install Plugins

# Orchestration - complex task coordination
/plugin install orch@cc-lib

# Testing - complete test workflow
/plugin install test@cc-lib

# Code Review - multi-dimensional code analysis
/plugin install revu@cc-lib

# Feature Development - from design to implementation
/plugin install feat@cc-lib

# Documentation - generate docs automatically
/plugin install docu@cc-lib

# Debugging - clean and fix code
/plugin install fix@cc-lib

# RALPH - autonomous iterative development
/plugin install ralph@cc-lib

Manage Plugins

/plugin list                    # List installed plugins
/plugin info orch               # Show plugin details
/plugin remove orch@cc-lib      # Remove a plugin

Plugins

orch - Orchestration

Agent orchestration for complex multi-faceted tasks with parallel execution and context management.

Agent	Description
orch:task	Complex task delegation and multi-agent coordination
orch:parallel	Break down tasks into parallel executable subtasks
orch:context	Context management for multi-step workflows

test - Testing

Complete testing workflow - generate tests, run them, and fix failures automatically.

Agent	Description
test:gen	Generate comprehensive tests (unit, integration, edge cases)
test:run	Execute tests and analyze results with actionable feedback
test:fix	Fix failing tests by analyzing root causes and implementing corrections

revu - Code Review

Multi-dimensional code review covering quality, security, architecture, and documentation.

Agent	Description
revu:code	Code quality, style, potential bugs, performance, and maintainability
revu:arch	Architecture review for design patterns and SOLID principles
revu:sec	Security vulnerabilities and OWASP Top 10 compliance
revu:doc	Documentation completeness, clarity, and accuracy
revu:commit	Commit message quality and conventional compliance

feat - Feature Development

Feature development agents covering design, implementation, and scaffolding.

Agent	Description
feat:design	Feature planning, requirements analysis, and API design
feat:impl	Implementation planning with code structure and integration points
feat:scaffold	Project scaffolding with file structure and boilerplate

docu - Documentation

Documentation generation for APIs, READMEs, and code explanations.

Agent	Description
docu:gen	Generate API documentation from code
docu:readme	Create comprehensive project README files
docu:explain	Explain code logic and architecture

fix - Debugging

Code cleaning and systematic debugging agents.

Agent	Description
fix:clean	Refactor code, remove technical debt, improve maintainability
fix:debug	Systematic debugging with root cause analysis

ralph - Autonomous Loop

RALPH (Recursively Adaptive Loop for Progressive Habitability) - autonomous iterative development.

Command	Description
ralph:go	Start autonomous iterative development loop
ralph:stop	Stop the RALPH loop gracefully with completion summary

Usage Examples

Orchestrate Complex Tasks

# Delegate complex feature to orchestrator
"Build a user authentication system with OAuth2, login UI, and backend APIs"
# Claude automatically delegates to specialized sub-agents in parallel