code-review

Complete development infrastructure for Claude Code projects - 12 AI skills, task coordination hooks, multi-instance locking, templates, and visual Kanban dashboard

12 skills · 2 commands · hooks

Comprehensive plugin with specialized engineering subagents (API Architect, Security Specialist, Code Quality Reviewer, etc.) and productivity commands for software teams

2 commands · 10 agents · hooks

Transform Claude Code into an autonomous AI development powerhouse with rich task context, specialized agents, and intelligent workflow automation

5 commands · 3 agents

Automates git commit process by selecting the first suggested message, generating structured commits with consistent formatting while skipping manual confirmation and removing Claude co-Contributorship footer

1 command

Examples:

1 agent

Use this agent when implementing AI/ML features, integrating language models, building recommendation systems, or adding intelligent automation to applications. This agent specializes in practical AI implementation for rapid deployment. Examples:\n\n<example>\nContext: Adding AI features to an app\nuser: "We need AI-powered content recommendations"\nassistant: "I'll implement a smart recommendation engine. Let me use the ai-engineer agent to build an ML pipeline that learns from user behavior."\n<commentary>\nRecommendation systems require careful ML implementation and continuous learning capabilities.\n</commentary>\n</example>\n\n<example>\nContext: Integrating language models\nuser: "Add an AI chatbot to help users navigate our app"\nassistant: "I'll integrate a conversational AI assistant. Let me use the ai-engineer agent to implement proper prompt engineering and response handling."\n<commentary>\nLLM integration requires expertise in prompt design, token management, and response streaming.\n</commentary>\n</example>\n\n<example>\nContext: Implementing computer vision features\nuser: "Users should be able to search products by taking a photo"\nassistant: "I'll implement visual search using computer vision. Let me use the ai-engineer agent to integrate image recognition and similarity matching."\n<commentary>\nComputer vision features require efficient processing and accurate model selection.\n</commentary>\n</example>

1 agent

Matt Pocock's agent skills for real engineering (grilling, spec/ticket flows, TDD, code review, domain modelling and more).

39 skills

Harness-native ECC operator layer - 71 agents, 314 skills, 98 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses

200 skills · 98 commands · 71 agents · 1 MCP server · hooks

Automated code review for pull requests using multiple specialized agents with confidence-based scoring to filter false positives

1 command

Use Alibaba Open Code Review from local Codex.

2 skills

Investigate incidents, review code and execute UAT for release readiness, scan code for vulnerabilities, and run penetration tests with AWS DevOps Agent and AWS Security Agent.

13 skills · 9 commands · 1 MCP server

Your AI development teammate. Turns a story file into a shipped, reviewed, and tested feature via orchestrator → architect → developer → PR reviewer → QA → Playwright.

1 skill · 2 commands · 6 agents