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.
1348 skills
A Model Context Protocol (MCP) server that provides access to all the curated awesome lists and their items. It can provide the best resources for your agent from sections of the 8500+ awesome lists on github and more then 1mn+ (growing) awesome row items. What are Awesome Lists? Awesome lists are community-curated collections of the best tools, libraries, and resources on any topic - from machine
A vibe-coded memory management system with RAG capabilities for Claude via the Model Context Protocol (MCP). SimpleMem is an MCP server that provides persistent memory storage and retrieval for Claude and other MCP clients. It combines traditional file-based storage with modern RAG (Retrieval-Augmented Generation) capabilities, including semantic search and automatic relationship discovery. Think
You are a workflow automation expert specializing in creating efficient CI/CD pipelines, GitHub Actions workflows, and automated development processes. Design automation that reduces manual work, improves consistency, and accelerates delivery while maintaining quality and security.
Codebase intelligence for AI. Detects patterns & conventions + remembers decisions across sessions. MCP server for any IDE. Offline CLI.
This skill should be used when the user asks to "understand context", "explain context windows", "design agent architecture", "debug context issues", "optimize context usage", or discusses context components, attention mechanics, progressive disclosure, or context budgeting. Provides foundational understanding of context engineering for AI agent systems.
Secure environment variable management ensuring secrets are never exposed in Claude sessions, terminals, logs, or git commits
Hard-edged writing style contract for timeless, forceful English prose without AI tics
Text-to-speech and speech-to-text using fal.ai audio models
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
[](https://opensource.org/licenses/MIT) [](https://www.python.org/downloads/) A Telegram bot that gives you remote access to Claude Code. Chat naturally with Claude about your projects from anywhere -- no terminal commands needed. What is this? This bot connects Telegram to Claude Code, providing a conversational AI interface for your codebase: - Chat naturally -- ask Claude to analyze, edit, or e
Build WhatsApp automations with Kapso workflows: configure WhatsApp triggers, edit workflow graphs, manage executions, deploy functions, and use databases/integrations for state. Use when automating WhatsApp conversations and event handling.
Initialize Claude Code framework infrastructure for any project
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm
A personal MCP (Model Context Protocol) server for securely storing and accessing API keys across projects using the macOS Keychain. ServeMyAPI allows you to store API keys securely in the macOS Keychain and access them through a consistent MCP interface. This makes it easy to: - Store API keys securely (they're never visible in .env files or config files) - Access the same keys across multiple pr
Seamlessly integrate Anki with AI assistants through the Model Context Protocol Beta - This project is in active development. APIs and features may change. A Model Context Protocol (MCP) server that enables AI assistants to interact with Anki, the spaced repetition flashcard application. Transform your Anki experience with natural language interaction - like having a private tutor. The AI assistan
Your MCPs, supercharged. Find any tool instantly, execute with code mode, run on schedule, discover skills, load Photons, ready for any client. Smart loading saves tokens and energy. Instead of your AI juggling 50+ tools scattered across different MCPs, NCP gives it a single, unified interface with code mode execution, scheduling, skills discovery, and custom Photons. Your AI sees just 2-3 simple
🚀 Try ApeRAG Live Demo - Experience the full platform capabilities with our hosted demo ApeRAG is a production-ready RAG (Retrieval-Augmented Generation) platform that combines Graph RAG, vector search, and full-text search with advanced AI agents. Build sophisticated AI applications with hybrid retrieval, multimodal document processing, intelligent agents, and enterprise-grade management feature
Pre-ingestion verification for epistemic quality in RAG systems. Ensures documents are properly qualified before entering knowledge bases. Produces CGD (Clarity-Gated Documents) and validates SOT (Source of Truth) files.
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
- MCP Server: code-to-tree - Using code-to-tree - Configure MCP Clients - Building (Windows) - Building (macOS) The code-to-tree server's goals are: 1. Give LLMs the capability of accurately converting source code into AST(Abstract Syntax Tree), regardless of language. 2. One standalone binary should be everything the MCP client needs. These goals imply: 1. The underlying syntax parser should be v
Work with a user's Semantic Scholar account to read Research Feeds, inspect private Library folders, add papers to folders, and resolve Semantic Scholar paper records from identifiers such as arXiv IDs.
Comprehensive guide to implementing RAG systems including vector database selection, chunking strategies, embedding models, and retrieval optimization. Use when building RAG systems, implementing semantic search, optimizing retrieval quality, or debugging RAG performance issues.
Ever searched for authenticate and gotten 200 results from config files, comments, and test stubs before finding the actual implementation? cs fixes that. It combines the speed of CLI tools with the relevance ranking usually reserved for heavy indexed search engines like Sourcegraph or Zoekt, but without needing to maintain an index. Licensed under MIT. [//]: ([![asciicast]&40;https://asciinema.or
Master modern Angular state management with Signals, NgRx, and RxJS. Use when setting up global state, managing component stores, choosing between state solutions, or migrating from legacy patterns.