GitHub AI Agent Skills

Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creation from content, or integrating with Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from React frontend to Python FastAPI backend with WebSocket streaming.

Use when auditing a codebase for semantic duplication - functions that do the same thing but have different names or implementations. Especially useful for LLM-generated codebases where new functions are often created rather than reusing existing ones.

Edit code → commit → run benchmark → measure metric → keep improvement or revert → repeat forever. Works for any optimization target: LLM training loss, test speed, bundle size, build time, Lighthouse scores, and more. Inspired by Karpathy's autoresearch, pi-autoresearch, and litesearch. This plugin provides two skills that work together. Autoresearch is the core engine (works for any metric), and

- 🔍 Multi-Provider Search - Search across Pexels and Unsplash simultaneously - 📊 Rich Metadata - Get comprehensive image details including dimensions, photographer info, and licensing - 📄 Pagination Support - Browse through large result sets with ease - 🛡️ Graceful Error Handling - Robust error handling for API failures - ⚡ Async Performance - Lightning-fast concurrent API calls - 🎯 Provider

Comprehensive JavaScript reference covering 33+ essential concepts every developer should know. From fundamentals like primitives and closures to advanced patterns like async/await and functional programming. Use when explaining JS concepts, debugging JavaScript issues, or teaching JavaScript fundamentals.

This project uses the Model Context Protocol (MCP) to let LLMs directly understand and generate Max patches. Video link. Acknowledgement: the patch being explained is downloaded from here. Text comments in the original file are deleted. Check out the full video where you can listen to the synthesised sounds. The LLM agent has access to the official documentation of each object, as well as objects

Generate SQL validation notebooks for dbt changes. Pass a GitHub PR URL or local dbt repo path.

18 skills · 2 commands · 4 MCPs

An MCP server that exposes Wireshark/tshark capabilities to AI tools and IDEs. Capture live traffic, analyze .pcap files, apply display filters, follow TCP/UDP streams, and export to JSON — all via Claude Desktop, VS Code Copilot, or any MCP-compatible client. - Python 3.10+ - Wireshark/tshark installed and on PATH Linux: add your user to the wireshark group for non-root capture: Or with uv: ~/Lib

AI-powered developer workflows with cost optimization and pattern learning. Run code review, debugging, testing, and release workflows from your terminal or Claude Code. Smart tier routing saves 34-86% on LLM costs. -brightgreen) Empathy Framework is evolving to focus exclusively on Anthropic/Claude to unlock features impossible with multi-provider abstraction: - 📦 Prompt Caching: 90% cost reduct

Google News MCP Server A Model Context Protocol (MCP) server implementation that provides Google News search capabilities via SerpAPI integration. Automatically categorizes news results and supports multiple languages and regions. Comprehensive search capabilities including query-based search, topic search, publication filtering and story coverage. Supports multiple languages and regions through c

You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, C

The ArXiv MCP Server provides a bridge between AI assistants and arXiv's research repository through the Model Context Protocol (MCP). It allows AI models to search for papers and access their content in a programmatic way. 🤝 Contribute • 📝 Report Bug - 🔎 Paper Search: Query arXiv papers with filters for date ranges and categories - 📄 Paper Access: Download and read paper content - 📋 Paper Li

A Model Context Protocol (MCP) server implementation that provides access to various storage services via Apache OpenDAL™. - Seamless access to multiple storage services including S3, Azure Blob Storage, Google Cloud Storage, and more - List files and directories from storage services - Read file contents with automatic text/binary detection - Environment variable based configuration Add the follo

An MCP server providing 56 semantic analysis tools for Java, built directly on Eclipse JDT for compiler-accurate code understanding. JavaLens exists because AI systems need compiler-accurate insights that reading source files cannot provide. When an AI uses grep or Read to find usages of a method, it cannot distinguish: - A method call from a method with the same name in an unrelated class - A fie

An MCP server that gives AI agents fast access to verified EVM chain information, including RPC URLs, chain IDs, explorers, and native tokens — sourced from Chainlist.org. - Efficient Data Fetching: Caches Chainlist API data to minimize requests. - Flexible Search: Case-insensitive keyword matching using regex for getChainsByKeyword. - Structured Output: Markdown responses with tabulated rpc and e

Expert capability for robust, stealthy, and efficient browser automation using Playwright Go.

Create a new App Store Connect app record via browser automation. Use when there is no public API for app creation and you need an agent to drive the New App form.

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.

Plan, draft, audit, and publish LinkedIn posts and comments. Use when the user wants to write a viral LinkedIn post, draft a comment or reply on any LinkedIn post URL, audit a draft against 2026 algorithm heuristics, remove AI tells, extract hook formulas from viral posts, or plan a week of content. Powered by the Publora API for publishing. User provides post/comment URLs, skill drafts content, user approves, then publishes.

A Model Context Protocol (MCP) server for Google Sheets API integration. Enables reading, writing, and managing Google Sheets documents directly from your MCP client (e.g., Claude Code, Claude Desktop, Cursor, etc.). - Complete Google Sheets Integration: Read, write, and manage spreadsheets - Advanced Operations: Batch operations, formatting, charts, and conditional formatting - Flexible Authentic

PGMCP connects AI assistants to any PostgreSQL database through natural language queries. Ask questions in plain English and get structured SQL results with automatic streaming and robust error handling. Works with: Cursor, Claude Desktop, VS Code extensions, and any MCP-compatible client PGMCP connects to your existing PostgreSQL database and makes it accessible to AI assistants through natural l

MemoryMesh is a knowledge graph server designed for AI models, with a focus on text-based RPGs and interactive storytelling. It helps AI maintain consistent, structured memory across conversations, enabling richer and more dynamic interactions. The project is based on the Knowledge Graph Memory Server from the MCP servers repository and retains its core functionality. v0.3.0 Update: The MCP SDK ha

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.

Your AI forgets everything when you close the tab. Phloem fixes that. Phloem is a local MCP server that gives your AI persistent memory across sessions. It works with any tool that supports the Model Context Protocol — an open standard. Today that includes Claude Code, VS Code, Cursor, Windsurf, Zed, Neovim, Cline, Warp, Continue, JetBrains, and more arriving every week. You install it once. Every