GitHub AI Agent Skills
AI agent skills for GitHub. Actions workflows, PR automation, issue management, and repository best practices.
648 listings
Portainer MCP
Ever wished you could just ask Portainer what's going on? Now you can! Portainer MCP connects your AI assistant directly to your Portainer environments. Manage Portainer resources such as users and environments, or dive deeper by executing any Docker or Kubernetes command directly through the AI. Portainer MCP is a work in progress implementation of the Model Context Protocol (MCP) for Portainer e
Optional: local embeddings (offline, ~2GB for PyTorch)
Persistent memory and knowledge management. Use at session start to load context, when the user asks about past work or stored knowledge, and when saving important information for future sessions.
Zero Slop
Edit drafts into natural prose, inspect AI-sounding patterns, or review how a specified audience might respond passage by passage. Zero Slop runs inside the user's existing AI assistant with local tools that protect source details. Use for humanizing or de-slopping writing, polishing outward-facing prose, social drafts, final editorial checks, or an explicit simulated reader review. Preserve facts, voice and format; reader simulations are hypotheses, not human feedback.
Performance Testing Review AI Review
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
Beautiful Prose
Hard-edged writing style contract for timeless, forceful English prose without AI tics
mcp-gopls – MCP server for Go (gopls)
A Model Context Protocol (MCP) server that lets AI assistants use Go’s LSP (gopls) for navigation, diagnostics, testing, coverage, and more. This MCP server helps AI assistants to: - Use LSP to analyze Go workspaces - Navigate to definitions, references, and workspace symbols - Format, rename, and inspect code actions without leaving MCP - Run Go tests, coverage, go mod tidy, govulncheck, and modu
文颜 MCP Server
文颜(Wenyan) 是一款多平台 Markdown 排版与发布工具,支持将 Markdown 一键转换并发布至: - 以及其它内容平台(持续扩展中) 文颜的目标是:让写作者专注内容,而不是排版和平台适配。 文颜目前提供多种形态,覆盖不同使用场景: - macOS App Store 版 - MAC 桌面应用 - 跨平台桌面版 - Windows/Linux - CLI 版本 - 命令行 / CI 自动化发布 - 👉 MCP 版本 - 本项目 - 核心库 - 嵌入 Node / Web 项目 本仓库是 文颜的 MCP Server 版本,基于模型上下文协议(Model Context Protocol),旨在让 AI 助手(如 Claude Desktop)具备自动排版和发布公众号文章的能力。 - 与 AI 深度集成:让 AI 帮你管理公众号的排版和发布 - 支持 SSE 模式
Weather MCP Server
mcp-name: io.github.isdaniel/mcpweatherserver A Model Context Protocol (MCP) server that provides weather information using the Open-Meteo API. This server supports multiple transport modes: standard stdio, HTTP Server-Sent Events (SSE), and the new Streamable HTTP protocol for web-based integration. Get current weather information with comprehensive metrics: Temperature, humidity, dew point Wind
MCP Language Server
This is an MCP server that runs and exposes a language server to LLMs. Not a language server for MCP, whatever that would be. mcp-language-server helps MCP enabled clients navigate codebases more easily by giving them access semantic tools like get definition, references, rename, and diagnostics. 1. Install Go: Follow instructions at 2. Install or update this server: go install github.com/isaacphi
Alibabacloud Tablestore MCP Server
1. 入门示例: tablestore-java-mcp-server 2. 基于 MCP 架构实现知识库答疑系统: tablestore-java-mcp-server-rag - 实现一个目前最常见的一类 AI 应用即答疑系统,支持基于私有知识库的问答,会对知识库构建和 RAG 做一些优化。 1. 入门示例: tablestore-python-mcp-server 1. Mem0-OpenMemory-MCP: tablestore-python-mem0-mcp-server 欢迎加入我们的钉钉公开群,与我们一起探讨 AI 技术。钉钉群号:36165029092
mcp-pandoc: A Document Conversion MCP Server
A Model Context Protocol server for document format conversion using pandoc. This server provides tools to transform content between different document formats while preserving formatting and structure. Please note that mcp-pandoc is currently in early development. PDF support is under development, and the functionality and available tools are subject to change and expansion as we continue to impr
React Analyzer MCP
Analyze & generate docs for React code using the Model Context Protocol. Based on react-analyzer library. This tool analyzes React component files (JSX/TSX) and extracts information about components and their props. - analyze-react: Analyzes a single React component from source code - analyze-project: Generates documentation for all React components in a project folder - list-projects: Lists all p
Meeting Reminder
- Fixed reply threading — auto-resolves In-Reply-To and References headers so email replies land in the correct thread instead of creating orphaned messages (upstream PR 91, still pending) - Send-as alias support — optional from parameter for multi-identity email management (send from any configured Gmail alias) - Reply-all tool — replyall automatically fetches the original email, builds To/CC rec
Cyclops MCP (Model Context Protocol)
Cyclops MCP allows your favorite AI agent to manage your Kubernetes applications. Cyclops MCP servers provide tools for agents to create and update existing applications safely. This means it can check all of your existing templates and the schema of those templates to create accurate and production-ready applications. Your agent now has much less room to make a misconfiguration since it creates h
Productplan Customer Facing
Generates customer-ready roadmap views and launch timelines from ProductPlan for Sales and Customer Success teams. Use when preparing for customer calls, sharing product direction, or answering "when will feature X ship?" questions.
MCP Datetime
English | 日本語 A datetime formatting service implemented as an MCP server for the Claude Desktop Application. Supports generation of datetime strings in various formats. Before using mcp-datetime, ensure you have the following tools installed: - Python 3.12 or later - uv (Python package installer) - uvx (Python package runner) - ✨ Support for various datetime formats - 🇯🇵 Japanese language suppor
Claude Ally Health
A health assistant skill for medical information analysis, symptom tracking, and wellness guidance.
Superpowers Lab
Lab environment for Claude superpowers
Fitness Influencer AI Assistant
mcp-name: io.github.wmarceau/fitness-influencer AI-powered automation suite for fitness content creators. Automates video editing, graphics creation, email management, SMS communication, and revenue analytics. Production URL: https://fitness-influencer-production.up.railway.app (if deployed) When running the API server: Located at: .claude/skills/fitness-influencer-operations/SKILL.md Trigger phra
YouTube transcript — no API key!
Scrape, crawl, search, and extract web data. Converts any website to LLM-ready markdown. Local-first with smart escalation (HTTP → browser → stealth). No API key needed.
ADHD & 47 Tabs
A cross-platform AI skill for clearer answers, smaller active workloads, and fewer cognitive dead ends. ADHD & 47 Tabs makes the useful part of an AI response easier to find, start, and finish. It is not a medical tool and does not diagnose or treat ADHD. No diagnosis is required. The skill uses four response contracts: 1. Answer: conclusion first, then necessary evidence and caveats. 2. Action: s
BGG MCP: BoardGameGeek MCP Server
BGG MCP: BoardGameGeek MCP Server BGG MCP provides access to the BoardGameGeek API through the Model Context Protocol, enabling retrieval and filtering of board game data, user collections, and profiles. The server is implemented in Go, using the GoGeek library, which helps ensure robust API interactions. Price data is provided by BoardGamePrices.co.uk, offering real-time pricing from multiple ret
Spotify Bulk Actions MCP
A Model Context Protocol (MCP) server for bulk Spotify operations - batch playlist creation, library exports, and large-scale library management. What makes this different from other Spotify MCPs? - Confidence scoring - Batch searches return HIGH/MEDIUM/LOW confidence for each match - Human-in-the-loop - Uncertain matches are exported for review, then re-imported - Bulk operations - Handle 500+ so
CRIC物业AI MCP Server
MCPServers.org | ModelScope | (更多MCP平台陆续上架中……) CRIC物业AI 是 克而瑞 专为物业行业打造的智能 AI 助理,于2025年4月25日 正式发布。 CRIC物业AI 通过行业知识库建设,结合多模态大模型 + RAG 技术,集成五大核心能力模块:行业研究、法律法规、社区治理、项目经营、文案写作,并在行业垂类知识基础上,拓展了 资讯舆情 和 人才培训 两大智能体。 克而瑞通过三个能力来构建其自身在物业AI合作领域优势: - 数据资产转化能力: 将10亿字行业语料、TB级多模态数据转化为物业行业的高质量数据集,并构建了一套行业数据质量评估体系,保障准确率和可信度; - 场景穿透能力: 聚焦20+物业行业垂直业务场景,定向选用对应领域知识库,精准匹配; - 生态进化能力: 通过每日实时监测超过500+可信资讯和数据来源,处理10万+实时数据的自更新系