By Yeachan-Heo
Automate code review of GitHub pull requests with multiple specialized agents that check for bugs, compliance with CLAUDE.md, historical context, and previous PR feedback using confidence-based scoring.
A curated directory of high-quality plugins for Claude Code.
⚠️ Important: Make sure you trust a plugin before installing, updating, or using it. Anthropic does not control what MCP servers, files, or other software are included in plugins and cannot verify that they will work as intended or that they won't change. See each plugin's homepage for more information.
/plugins - Internal plugins developed and maintained by Anthropic/external_plugins - Third-party plugins from partners and the communityPlugins can be installed directly from this marketplace via Claude Code's plugin system.
To install, run /plugin install {plugin-name}@claude-plugin-directory
or browse for the plugin in /plugin > Discover
Internal plugins are developed by Anthropic team members. See /plugins/example-plugin for a reference implementation.
Third-party partners can submit plugins for inclusion in the marketplace. External plugins must meet quality and security standards for approval.
Each plugin follows a standard structure:
plugin-name/
├── .claude-plugin/
│ └── plugin.json # Plugin metadata (required)
├── .mcp.json # MCP server configuration (optional)
├── commands/ # Slash commands (optional)
├── agents/ # Agent definitions (optional)
├── skills/ # Skill definitions (optional)
└── README.md # Documentation
For more information on developing Claude Code plugins, see the official documentation.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Multi-agent orchestration system for Claude Code
Scientific research agent extension - turns research goals into reproducible Jupyter notebooks with Python REPL, data analysis, and ML workflows
Easily create hooks to prevent unwanted behaviors by analyzing conversation patterns
Java language server (Eclipse JDT.LS) for code intelligence
Continuous self-referential AI loops for interactive iterative development, implementing the Ralph Wiggum technique. Run Claude in a while-true loop with the same prompt until task completion.
npx claudepluginhub yeachan-heo/claude-plugins-official --plugin code-reviewComprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification
Automated code review for pull requests using multiple specialized agents with confidence-based scoring
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
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