AI Plugins
Browse 143 repos. Filter by type or sort.
anthropics/csharp-lspOfficial
# csharp-lsp C# language server for Claude Code, providing code intelligence and diagnostics. ## Supported Extensions `.cs` ## Installation ### Via .NET tool (recommended) ```bash dotnet tool install --global csharp-ls ``` ### Via Homebrew (macOS) ```bash brew install csharp-ls ``` ## Requirements - .NET SDK 6.0 or later ## More Information - [csharp-ls GitHub](https://github.com/razzmatazz/csharp-language-server) - [.NET SDK Download](https://dotnet.microsoft.com/download)
anthropics/example-pluginOfficial
# Example Plugin A comprehensive example plugin demonstrating Claude Code extension options. ## Structure ``` example-plugin/ ├── .claude-plugin/ │ └── plugin.json # Plugin metadata ├── .mcp.json # MCP server configuration ├── skills/ │ ├── example-skill/ │ │ └── SKILL.md # Model-invoked skill (contextual guidance) │ └── example-command/ │ └── SKILL.md # User-invoked skill (slash command) └── commands/ └── example-command.md
anthropics/explanatory-output-styleOfficial
# Explanatory Output Style Plugin This plugin recreates the deprecated Explanatory output style as a SessionStart hook. WARNING: Do not install this plugin unless you are fine with incurring the token cost of this plugin's additional instructions and output. ## What it does When enabled, this plugin automatically adds instructions at the start of each session that encourage Claude to: 1. Provide educational insights about implementation choices 2. Explain codebase patterns and decisions 3.
anthropics/feature-devOfficial
# Feature Development Plugin A comprehensive, structured workflow for feature development with specialized agents for codebase exploration, architecture design, and quality review. ## Overview The Feature Development Plugin provides a systematic 7-phase approach to building new features. Instead of jumping straight into code, it guides you through understanding the codebase, asking clarifying questions, designing architecture, and ensuring quality, resulting in better-designed features that in
anthropics/frontend-designOfficial
# Frontend Design Plugin Generates distinctive, production-grade frontend interfaces that avoid generic AI aesthetics. ## What It Does Claude automatically uses this skill for frontend work. Creates production-ready code with: - Bold aesthetic choices - Distinctive typography and color palettes - High-impact animations and visual details - Context-aware implementation ## Usage ``` "Create a dashboard for a music streaming app" "Build a landing page for an AI security startup" "Design a set
anthropics/gopls-lspOfficial
# gopls-lsp Go language server for Claude Code, providing code intelligence, refactoring, and analysis. ## Supported Extensions `.go` ## Installation Install gopls using the Go toolchain: ```bash go install golang.org/x/tools/gopls@latest ``` Make sure `$GOPATH/bin` (or `$HOME/go/bin`) is in your PATH. ## More Information - [gopls Documentation](https://pkg.go.dev/golang.org/x/tools/gopls) - [GitHub Repository](https://github.com/golang/tools/tree/master/gopls)
anthropics/hookifyOfficial
# Hookify Plugin Easily create custom hooks to prevent unwanted behaviors by analyzing conversation patterns or from explicit instructions. ## Overview The hookify plugin makes it simple to create hooks without editing complex `hooks.json` files. Instead, you create lightweight markdown configuration files that define patterns to watch for and messages to show when those patterns match. **Key features:** - 🎯 Analyze conversations to find unwanted behaviors automatically - 📝 Simple markdown
anthropics/jdtls-lspOfficial
# jdtls-lsp Java language server (Eclipse JDT.LS) for Claude Code, providing code intelligence and refactoring. ## Supported Extensions `.java` ## Installation ### Via Homebrew (macOS) ```bash brew install jdtls ``` ### Via package manager (Linux) ```bash # Arch Linux (AUR) yay -S jdtls # Other distros: manual installation required ``` ### Manual Installation 1. Download from [Eclipse JDT.LS releases](https://download.eclipse.org/jdtls/snapshots/) 2. Extract to a directory (e.g., `~/.loca
anthropics/kotlin-lspOfficial
Kotlin language server for Claude Code, providing code intelligence, refactoring, and analysis. ## Supported Extensions `.kt` `.kts` ## Installation Install the Kotlin LSP CLI. ```bash brew install JetBrains/utils/kotlin-lsp ``` ## More Information - [kotlin LSP](https://github.com/Kotlin/kotlin-lsp)
anthropics/learning-output-styleOfficial
# Learning Style Plugin This plugin combines the unshipped Learning output style with explanatory functionality as a SessionStart hook. **Note:** This plugin differs from the original unshipped Learning output style by also incorporating all functionality from the [explanatory-output-style plugin](https://github.com/anthropics/claude-code/tree/main/plugins/explanatory-output-style), providing both interactive learning and educational insights. WARNING: Do not install this plugin unless you ar
anthropics/lua-lspOfficial
# lua-lsp Lua language server for Claude Code, providing code intelligence and diagnostics. ## Supported Extensions `.lua` ## Installation ### Via Homebrew (macOS) ```bash brew install lua-language-server ``` ### Via package manager (Linux) ```bash # Ubuntu/Debian (via snap) sudo snap install lua-language-server --classic # Arch Linux sudo pacman -S lua-language-server # Fedora sudo dnf install lua-language-server ``` ### Manual Installation Download pre-built binaries from the [releases
anthropics/math-olympiadOfficial
# math-olympiad Competition math solver with adversarial verification. ## The problem Self-verification gets fooled. A verifier that sees the reasoning is biased toward agreement. ArXiv:2503.21934 ("Proof or Bluff") showed 85.7% self-verified IMO success drops to <5% under human grading. ## The approach - **Context-isolated verification**: verifier sees only the clean proof, never the reasoning trace - **Pattern-armed adversarial checks**: not "is this correct?" but "does this accidenta
anthropics/mcp-server-devOfficial
# mcp-server-dev Skills for designing and building MCP servers that work smoothly with Claude. ## What's inside Three skills that compose into a full build path: | Skill | Purpose | |---|---| | **`build-mcp-server`** | Entry point. Interrogates the use case, picks deployment model (remote HTTP / MCPB / local stdio), picks tool-design pattern, routes to a specialized skill. | | **`build-mcp-app`** | Adds interactive UI widgets (forms, pickers, confirm dialogs) rendered inline in chat. Works
anthropics/php-lspOfficial
# php-lsp PHP language server (Intelephense) for Claude Code, providing code intelligence and diagnostics. ## Supported Extensions `.php` ## Installation Install Intelephense globally via npm: ```bash npm install -g intelephense ``` Or with yarn: ```bash yarn global add intelephense ``` ## More Information - [Intelephense Website](https://intelephense.com/) - [Intelephense on npm](https://www.npmjs.com/package/intelephense)
anthropics/playgroundOfficial
# Playground Plugin Creates interactive HTML playgrounds. Self-contained single-file explorers that let users configure something visually through controls, see a live preview, and copy out a prompt. ## What is a Playground? A playground is a self-contained HTML file with: - Interactive controls on one side - A live preview on the other - A prompt output at the bottom with a copy button The user adjusts controls, explores visually, then copies the generated prompt back into Claude. ## When
anthropics/plugin-devOfficial
# Plugin Development Toolkit A comprehensive toolkit for developing Claude Code plugins with expert guidance on hooks, MCP integration, plugin structure, and marketplace publishing. ## Overview The plugin-dev toolkit provides seven specialized skills to help you build high-quality Claude Code plugins: 1. **hook-development** - Advanced hooks API and event-driven automation 2. **mcp-integration** - Model Context Protocol server integration 3. **plugin-structure** - Plugin organization and man
anthropics/pr-review-toolkitOfficial
# PR Review Toolkit A comprehensive collection of specialized agents for thorough pull request review, covering code comments, test coverage, error handling, type design, code quality, and code simplification. ## Overview This plugin bundles 6 expert review agents that each focus on a specific aspect of code quality. Use them individually for targeted reviews or together for comprehensive PR analysis. ## Agents ### 1. Comment-analyzer **Focus**: Code comment accuracy and maintainability **
anthropics/pyright-lspOfficial
# pyright-lsp Python language server (Pyright) for Claude Code, providing static type checking and code intelligence. ## Supported Extensions `.py`, `.pyi` ## Installation Install Pyright globally via npm: ```bash npm install -g pyright ``` Or with pip: ```bash pip install pyright ``` Or with pipx (recommended for CLI tools): ```bash pipx install pyright ``` ## More Information - [Pyright on npm](https://www.npmjs.com/package/pyright) - [Pyright on PyPI](https://pypi.org/project/pyrigh
anthropics/ralph-loopOfficial
# Ralph Loop Plugin Implementation of the Ralph Wiggum technique for iterative, self-referential AI development loops in Claude Code. ## What is Ralph Loop? Ralph Loop is a development methodology based on continuous AI agent loops. As Geoffrey Huntley describes it: **"Ralph is a Bash loop"** - a simple `while true` that repeatedly feeds an AI agent a prompt file, allowing it to iteratively improve its work until completion. This technique is inspired by the Ralph Wiggum coding technique (na
anthropics/ruby-lspOfficial
# ruby-lsp Ruby language server for Claude Code, providing code intelligence and analysis. ## Supported Extensions `.rb`, `.rake`, `.gemspec`, `.ru`, `.erb` ## Installation ### Via gem (recommended) ```bash gem install ruby-lsp ``` ### Via Bundler Add to your Gemfile: ```ruby gem 'ruby-lsp', group: :development ``` Then run: ```bash bundle install ``` ## Requirements - Ruby 3.0 or later ## More Information - [Ruby LSP Website](https://shopify.github.io/ruby-lsp/) - [GitHub Repository](ht
anthropics/rust-analyzer-lspOfficial
# rust-analyzer-lsp Rust language server for Claude Code, providing code intelligence and analysis. ## Supported Extensions `.rs` ## Installation ### Via rustup (recommended) ```bash rustup component add rust-analyzer ``` ### Via Homebrew (macOS) ```bash brew install rust-analyzer ``` ### Via package manager (Linux) ```bash # Ubuntu/Debian sudo apt install rust-analyzer # Arch Linux sudo pacman -S rust-analyzer ``` ### Manual download Download pre-built binaries from the [releases page](
anthropics/security-guidanceOfficial
# security-guidance Security review for Claude-generated code. Three layers: 1. **Pattern warnings** — instant regex-based reminders on `Edit`/`Write` for ~25 known-dangerous patterns (`yaml.load`, `torch.load(weights_only=False)`, `pickle.load` on untrusted data, raw `innerHTML`, hardcoded secrets, etc.). 2. **LLM diff review** — when Claude finishes a turn, the plugin sends the diff to a fast LLM call (Opus 4.7 by default) and feeds high-severity findings back to Claude so it can fix them be
anthropics/skill-creatorOfficial
# skill-creator Create new skills, improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, or benchmark skill performance with variance analysis.
anthropics/swift-lspOfficial
# swift-lsp Swift language server (SourceKit-LSP) for Claude Code, providing code intelligence for Swift projects. ## Supported Extensions `.swift` ## Installation SourceKit-LSP is included with the Swift toolchain. ### macOS Install Xcode from the App Store, or install Swift via: ```bash brew install swift ``` ### Linux Download and install Swift from [swift.org](https://www.swift.org/download/). After installation, `sourcekit-lsp` should be available in your PATH. ## More Information -
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