GitHub AI Agent Skills

-Speed read Claude's responses at 600+ WPM using RSVP with Spritz-style ORP highlighting

Build applications powered by GitHub Copilot using the Copilot SDK. Use when creating programmatic integrations with Copilot across Node.js/TypeScript, Python, Go, or .NET. Covers session management, custom tools, streaming, hooks, MCP servers, BYOK providers, session persistence, and custom agents. Requires GitHub Copilot CLI installed and a GitHub Copilot subscription (unless using BYOK).

Windows 11 system management

A collection of Agent skills and Claude Code plugins for HashiCorp products. Install Agent Skills in GitHub Copilot, Claude Code, Opencode, Cursor, and more: First, add the marketplace, then install plugins: Or use the interactive interface: Each product folder contains plugins, and each plugin contains skills:

An MCP server developed for AI to connect and manage Jupyter Notebooks in real-time Developed by Datalayer - Key Features - MCP Overview - Getting Started - Best Practices - Contributing - Resources - ⚡ Real-time control: Instantly view notebook changes as they happen. - 🔁 Smart execution: Automatically adjusts when a cell run fails thanks to cell output feedback. - 🧠 Context-aware: Understands

Text-to-speech and speech-to-text using fal.ai audio models

Upgrade Expo SDK versions

A Model Context Protocol (MCP) server implementation for Azure Data Lake Storage Gen2. This service provides a standardized interface for interacting with ADLS2 storage, enabling file operations through MCP tools. Requires Python 3.13 or higher. Install the package using uv: 1 - Edit Claude Desktop Configuration: Open claudedesktopconfig.json and add the following configuration. On MacOs, the file

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

Opinionated, evolving constraints to guide agents when building interfaces

An open source MCP (Model Context Protocol) server empowering SREs with intelligent observability, predictive analytics, and AI-driven automation across Kubernetes, OpenShift, and Tekton environments. - Quick Start - Prerequisites - Installation - Usage Examples - Configuration - Available Tools - Architecture - How It Works - MCP Client Integration - Performance Considerations - Troubleshooting -

Index and search culture documentation

Create production-ready GitHub Actions workflows for automated testing, building, and deploying applications. Use when setting up CI/CD with GitHub Actions, automating development workflows, or creating reusable workflow templates.

End-to-end workflow for creating complete JavaScript concept documentation, orchestrating all skills from research to final review

Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI.

A [Model Context Protocol][mcp] (MCP) server for Chess.com's Published Data API. This provides access to Chess.com player data, game records, and other public information through standardized MCP interfaces, allowing AI assistants to search and analyze chess information. [mcp]: https://modelcontextprotocol.io/introduction/introduction - [x] Access player profiles, stats, and game records - [x] Sea

Expert deployment engineer specializing in modern CI/CD pipelines,

Alibaba Cloud Ops MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Alibaba Cloud APIs, enabling AI assistants to operate resources on Alibaba Cloud, supporting ECS, Cloud Monitor, OOS, OSS, VPC, RDS and other widely used cloud products. It also enables AI assistants to analyze, build, and deploy applications to Alibaba Cloud ECS instances. Smithery AI FC-

An experimental Model Context Protocol (MCP) server that enables Claude to control Strudel.cc for AI-assisted music generation, live coding, and algorithmic composition. Current State: Functional but under active development. Core features work reliably, but expect rough edges. Test coverage is at 78% with 1470 tests passing (1521 total, 51 skipped). See open issues for known limitations. - Instal

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 ·

Multi-agent orchestration platform for enterprise AI development. Run 12+ AI agents concurrently with full governance, Gemini-powered code review, and enforced quality gates. Solves coordination, verification, and metrics challenges that stall enterprise AI adoption.

This repo contains the source code for running a local MCP server that interacts with APIs for Google Analytics. Join the discussion and ask questions in the 🤖-analytics-mcp channel on Discord. The server uses the Google Analytics Admin API Google Analytics Data API to provide several Tools for use with LLMs. - getaccountsummaries: Retrieves information about the user's Google Analytics accounts

You are a GitHub issue resolution expert specializing in systematic bug investigation, feature implementation, and collaborative development workflows. Your expertise spans issue triage, root cause an

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