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.
1388 skills
Answers questions about a code repository using source file analysis. Use when the user asks a question about how something works, wants to understand a component, or needs help navigating the codebase.
This skill should be used when the user asks to "analyze
A unified personal data hub built on MCP (Model Context Protocol) that allows AI assistants to access your digital life from multiple platforms, providing truly personalized and contextual interactions. 1. Clone the repository 2. Install dependencies > 📖 See detailed installation instructions: Installation and Setup 3. Configure your API keys 4. Add to Cursor settings > 📖 See detailed MCP config
Modern Angular UI patterns for loading states, error handling, and data display. Use when building UI components, handling async data, or managing component states.
Metorial (YC F25) The open source integration platform for agentic AI. Connect any AI model to thousands of APIs, data sources, and tools with a single function call. Metorial enables AI agent developers to easily connect their models to a wide range of APIs, data sources, and tools using the Model Context Protocol (MCP). Metorial abstracts away the complexities of MCP and offers a simple, unified
GNURadio MCP Server is a modern, extensible Machine Control Protocol (MCP) server for GNURadio, enabling programmatic, automated, and AI-driven creation of GNURadio flowgraphs. Designed for seamless integration with Large Language Models (LLMs), automation frameworks, and custom clients, it empowers you to generate .grc files and control SDR workflows at scale. - 🌐 MCP API: Exposes a robust MCP i
Required reading before writing any HogQL/SQL or calling execute-sql against PostHog. Use whenever the user wants to search, find, or do complex aggregations PostHog entities (insights, dashboards, cohorts, feature flags, experiments, surveys, hog flows, data warehouse, persons, etc.) and query analytics data (trends, funnels, retention, lifecycle, paths, stickiness, web analytics, error tracking, logs, sessions, LLM traces).
Guide for creating templates for the Obsidian Web Clipper. Use when you want to create a new clipping template, understand available variables, or format clipped content.
Guide for creating Claude Code skills following Anthropic's official best practices. Use when user wants to create a new skill, build a skill, write SKILL.md, update an existing skill, or needs skill creation guidelines. Provides structure, frontmatter fields, naming conventions, and new features like dynamic context injection and subagent execution.
Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack.
A collection of PostHog skills for enhancing AI-assisted workflows. Add this repo as a Claude Code plugin marketplace to get access to all PostHog skills: Then install individual plugins: Or browse available plugins: Copy any skill directory to .claude/skills/ in your project: Any directory under skills/ that contains a .claude-plugin/plugin.json is automatically discovered and added to the market
Upgrade Expo SDK versions
Write efficient C code with proper memory management, pointer
Review, refactor, or build SwiftUI features with correct state management, modern API usage, optimal view composition, navigation patterns, performance optimization, and testing best practices.
Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.
Fast, opinionated TUI for AI-assisted coding. McGravity orchestrates AI coding tools (Claude Code, Codex, Gemini) in a tight feedback loop: plan small tasks → execute one at a time → review → replan. Instead of dumping a huge prompt and hoping for the best, McGravity breaks your work into atomic pieces that are easier to verify and course-correct. McGravity runs a continuous improvement loop: McGr
Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.
A tool similar to cloc, sloccount and tokei. For counting the lines of code, blank lines, comment lines, and physical lines of source code in many programming languages. Goal is to be the fastest code counter possible, but also perform COCOMO calculation like sloccount, LOCOMO estimation for LLM-based development costs, estimate code complexity similar to cyclomatic complexity calculators and prod
Smart context management for LLM development workflows. Share relevant project files instantly through intelligent selection and rule-based filtering. Getting the right context into LLM conversations is friction-heavy: - Manually finding and copying relevant files wastes time - Too much context hits token limits, too little misses important details - AI requests for additional files require manual
Connect Open Data to LLMs in minutes! We enable 2 things: Open Data Access: Access to many public datasets right from your LLM application (starting with Claude, more to come). Publishing: Get community help and a distribution network to distribute your Open Data. Get everyone to use it! How do we do that? Access: Setup our MCP servers in your LLM application in 2 clicks via our CLI tool (starting
MCP (Model Context Protocol) server for RAGStack knowledge bases. Enables AI assistants to search, chat, upload documents/media, and scrape your knowledge base. Get your GraphQL endpoint and API key from the RAGStack dashboard: Settings → API Key Edit ~/Library/Application Support/Claude/claudedesktopconfig.json (Mac) or %APPDATA%\Claude\claudedesktopconfig.json (Windows): Edit ~/.aws/amazonq/mcp.
Autonomously deep-scan entire codebase line-by-line, understand architecture and patterns, then systematically transform it to production-grade, corporate-level professional quality with optimizations
Configure secure, high-performance connectivity between on-premises infrastructure and cloud platforms using VPN and dedicated connections. Use when building hybrid cloud architectures, connecting data centers to cloud, or implementing secure cross-premises networking.