SKILL.md files package domain expertise into something any AI agent can use. Drop one into your project and your agent learns how to process PDFs, design interfaces, write tests, or whatever the skill teaches.
1275 skills
Apple Documentation Crawler & MCP Server A Swift-based tool to crawl, index, and serve Apple's developer documentation to AI agents via the Model Context Protocol (MCP). Cupertino is a local, structured, AI-ready documentation system for Apple platforms. It: - Crawls Apple Developer documentation, Swift.org, Swift Evolution proposals, Human Interface Guidelines, Apple Archive legacy guides, and Sw
A general purpose Model Context Protocol (MCP) server that provides comprehensive developer tools for file editing, shell command execution, and screen capture capabilities. Built using the rmcp crate. - View files with language detection for markdown formatting - Write/create files with automatic directory creation - String replacement with precise matching - Undo functionality with edit history
A Golang-based Model Context Protocol (MCP) server implementation for Prometheus that enables natural language interactions with Prometheus metrics and queries. Built with Go, prometheus-mcp-server provides a robust, type-safe interface that maintains full consistency with the Prometheus HTTP API, allowing you to query and manage your Prometheus instance through natural language conversations with
A fast, lightweight MCP server for Sentry, written in Rust. Compared to the official Node.js server: - Memory: 10x less RAM usage - Startup: instant cold start - Disk: single binary, no runtime dependencies - Tokens: fewer tools = smaller tool list in context This MCP server provides tools to interact with Sentry's API: - getissuedetails - Retrieve detailed information about a Sentry issue includi
Professional equity research and trading analysis powered by Claude AI, delivering institutional-grade investment insights with Goldman Sachs-style formatting and comprehensive risk assessment. - Institutional-Grade Analysis: Generates professional equity research reports matching Wall Street standards - AI-Powered Intelligence: Leverages Claude AI for comprehensive fundamental and technical analy
prompts.chat The world's largest open-source prompt library for AI Works with ChatGPT, Claude, Gemini, Llama, Mistral, and more formerly known as Awesome ChatGPT Prompts 🌐 Browse Prompts • 📖 Read the Book • 📄 View on GitHub • 🚀 Self-Host 🏆 Featured in Forbes · 🎓 Referenced by Harvard , Columbia · 📄 40+ academic citations · ❤️ Most liked dataset on Hugging Face ⭐ 143k+ GitHub stars ·
Expert ReactFlow architect for building interactive graph applications with hierarchical node-edge systems, performance optimization, and auto-layout integration. Use when Claude needs to create or optimize ReactFlow applications for: (1) Interactive process graphs with expand/collapse navigation, (2) Hierarchical tree structures with drag & drop, (3) Performance-optimized large datasets with incremental rendering, (4) Auto-layout integration with Dagre, (5) Complex state management for nodes an
This MCP server provides a tool to download entire websites using wget. It preserves the website structure and converts links to work locally. The server requires wget to be installed on your system. Using Homebrew: 1. Using Chocolatey: 2. Or download the binary from: https://eternallybored.org/misc/wget/ - Download the latest wget.exe - Place it in a directory that's in your PATH (e.g., C:\Window
Reddit automation Skills — directly uses your logged-in browser and real account, operating Reddit as an ordinary user. Supports OpenClaw and all AI Agent platforms compatible with the SKILL.md format (e.g. Claude Code). Supports chained operations — you can give compound natural-language instructions and the Agent will automatically chain multiple skills. For example: The Agent will execute: sear
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
Claude Code forgets everything between sessions. Built-in auto-memory exists but: - It's opaque (Claude decides what's "meaningful") - Limited to 200 lines loaded at startup - Not tightly integrated into the agentic loop - No hierarchical organization (scales poorly) A skill-based memory protocol with: - Hierarchical storage: core.md summaries → topics/ .md details - Background agents: Memory ops
An MCP server that triangulates customer support tickets and feature requests to help PMs decide what to build next. - Signal triangulation — Not just data access. Matches support tickets against feature requests to find convergent themes, then scores them with a weighted formula that gives convergent signals a 2x priority boost. - Composability — Designed to work with other MCP servers. Pass chur
RulesetMCP is a Model Context Protocol (MCP) server that gives AI agents a project-aware rulebook. Instead of explaining your coding standards, SQL conventions, or process guidelines every time you open a new AI session, you define them once in version-controlled files. RulesetMCP reads those files and exposes tools for listing, summarizing, and applying rules to specific tasks and snippets. Right
A Model Context Protocol (MCP) server for Substrate blockchains, written in Rust. This project exposes dynamic Substrate blockchain operations (querying balances, blocks, pallets, storage, events, and more) via the MCP protocol, and is fully configurable via environment variables. Designed to interface with the subxt crate. - Query account balances and storage dynamically - List pallets and their
TypeScript SDK for S2 This repo contains the official TypeScript SDK for S2, a serverless data store for streams, built on the service's REST API. S2 is a managed service that provides unlimited, durable streams. Streams can be appended to, with all new records added to the tail of the stream. You can read from any portion of a stream – indexing by record sequence number, or timestamp – and follow
An MCP server implementation that provides job search functionality. Get available jobs with filtering options sinceWhen (string): Since when to get available jobs. e.g., '1d' or '1w' (only days and weeks are supported) keywords (string[], optional): Keywords to filter jobs by excludeKeywords (string[], optional): Keywords to exclude from the jobs isRemote (boolean, optional): Whether to filter jo
Decompose any text into classified semantic units — authority, risk, attention, entities. No LLM. Deterministic.
一个第三方 MCP 服务器：让所有 IDE 获得 Claude Code Skills 的能力。 A third-party MCP server: Enable all IDEs to access Claude Code Skills capabilities. - Skill Discovery & Indexing / 技能发现与索引: Automatically scan and index SKILL.md files from multiple sources / 自动扫描和索引来自多个来源的 SKILL.md 文件 - Flexible Configuration / 灵活配置: Support for custom skill roots and cache paths / 支持自定义技能根目录和缓存路径 - Tag Management / 标签管理: Built-in
Publish articles to X/Twitter
Opinionated frontend development standards for modern React + TypeScript applications. Covers Suspense-first data fetching, lazy loading, feature-based architecture, MUI v7 styling, TanStack Router, performance optimization, and strict TypeScript practices.
Use when working with the WordPress Abilities API (wp_register_ability, wp_register_ability_category, /wp-json/wp-abilities/v1/*, @wordpress/abilities) including defining abilities, categories, meta, REST exposure, and permissions checks for clients.
Use when the user asks about WordPress codebases (plugins, themes, block themes, Gutenberg blocks, WP core checkouts) and you need to quickly classify the repo and route to the correct workflow/skill (blocks, theme.json, REST API, WP-CLI, performance, security, testing, release packaging).
Use when you need a deterministic inspection of a WordPress repository (plugin/theme/block theme/WP core/Gutenberg/full site) including tooling/tests/version hints, and a structured JSON report to guide workflows and guardrails.
Lint any URL for LLM readiness. Get a 0-100 score for token efficiency, RAG readiness, agent compatibility, and LLM extraction quality. Context CLI is an LLM Readiness Linter that checks how well a URL is structured for AI consumption. As LLM-powered search engines, RAG pipelines, and AI agents become primary consumers of web content, your pages need to be optimized for token efficiency, structure