GitHub AI Agent Skills

Applies principles from Robert C. Martin's 'Clean Code'. Use this skill when writing, reviewing, or refactoring code to ensure high quality, readability, and maintainability. Covers naming, functions, comments, error handling, and class design.

KoliBri stands for "component library for accessibility" and was released as open source by the Informationstechnikzentrum Bund (ITZBund) for reuse and continued development. Together we make HTML accessible using reusable web components to ensure usability and accessibility. The HTML web standard is itself very “openly” specified in order to be as long-lasting and robust as possible. It therefore

Review, refactor, or build SwiftUI features with correct state management, modern API usage, optimal view composition, navigation patterns, performance optimization, and testing best practices.

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

Official MCP server for Flowbite to leverage AI for UI creation and theme generation An MCP server that enables AI assistants to access the Flowbite library of Tailwind CSS components—including UI elements, forms, typography, and plugins—while offering an intelligent theme generator for creating custom branded designs within AI-driven development environments. - 🎨 [NEW] Figma to code - Copy the F

Using nicegui as a PlantUML frontend, you can deploy PlantUML on an intranet. It's a nicegui demo project with an added MCP (Model Context Protocol) server that exposes PlantUML functionality to AI assistants. Plantuml jar version: plantuml-1.2025.3.jar - Interactive PlantUML editor with live preview - Save and load diagrams - Responsive UI with resizable panels - Generate PlantUML diagrams in SVG

A Model Context Protocol Server for Home Assistant. See Model Context Protocol for context. The custom component required by this integration is moving to Home Assistant Core in https://github.com/home-assistant/core/pull/134122 1. Install the home-assistant-model-context-protocol custom component in your Home Assistant instance 1. Create a Long Lived Access Token 1. Clone this git repo to a path

Your AI keeps breaking things you told it not to touch. SpecLock makes it stop. Website · npm · Smithery · GitHub Developed by Sandeep Roy · Free & Open Source (MIT License) 100/100 on Claude's independent test suite. 929 tests across 18 suites. 0 false positives. 15.7ms per check. Gemini Flash hybrid, Spec Compiler, Code Graph, Typed Constraints, Python SDK, ROS2 integration. That's it. One c

An MCP server that provides AI agents with real-time access to curated Web3 jobs from web3.career, enabling intelligent job discovery and career insights. - Job Query Tool: Filter Web3 jobs by: - Remote status (remote=True for remote-only jobs) - Country (e.g., "United States", case-insensitive) - Job tag (e.g., "react", "blockchain", case-insensitive) - Limit (1–100 jobs, default 50) - Markdown O

✨ Features | 🚀 Getting Started | 🎥 Demos | ⚙️ Configuration | 🛠️ Tools | 🧑‍💻 Development A powerful and flexible Kubernetes Model Context Protocol (MCP) server implementation with support for Kubernetes and OpenShift. - ✅ Configuration: - Automatically detect changes in the Kubernetes configuration and update the MCP server. - View and manage the current Kubernetes .kube/config or in-cluster

K8s MCP Server is a Docker-based server implementing Anthropic's Model Context Protocol (MCP) that enables Claude to run Kubernetes CLI tools (kubectl, istioctl, helm, argocd) in a secure, containerized environment. Session 1: Using k8s-mcp-server and Helm CLI to deploy a WordPress application in the claude-demo namespace, then intentionally breaking it by scaling the MariaDB StatefulSet to zero.

A Kubernetes MCP (Model Control Protocol) server that enables interaction with Kubernetes clusters through MCP tools. - Query supported Kubernetes resource types (built-in resources and CRDs) - Kubernetes resource operations with fine-grained control - Read operations: get resource details, list resources by type with filtering options - Write operations: create, update, and delete resources (each

🚨 No Nix/NixOS Required! Works on any system - Windows, macOS, Linux. You're just querying APIs. Your AI now has access to real NixOS data instead of making things up. You're welcome. An MCP server providing accurate, real-time information about: - NixOS packages - 130K+ packages that actually exist - NixOS options - 23K+ ways to configure your system - Home Manager - 5K+ options for dotfile enth

A comprehensive Model Context Protocol (MCP) server that provides Claude Desktop and other MCP clients with tools for Kafka Schema Registry operations. Features advanced schema context support, multi-registry management, and comprehensive schema export capabilities. Latest Version: v2.1.5 | Docker: aywengo/kafka-schema-reg-mcp:stable - 🚀 Quick Start - ✨ Key Features - 🛠️ Claude Code Skills - 📦

Shodh-Memory Persistent memory for AI agents. Single binary. Local-first. Runs offline. We built this because AI agents forget everything between sessions. They make the same mistakes, ask the same questions, lose context constantly. Shodh-Memory fixes that. It's a cognitive memory system—Hebbian learning, activation decay, semantic consolidation—packed into a single ~17MB binary that runs offline

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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

The MCP server calls the Shahnameh API behind the scenes, so you need to keep that running first. Please refer to the repository below for more information: Shahnameh API Also, please bear in mind that the API uses a database, which can be found here: Shahnameh Dataset Create and activate the virtual environment. For example, on macOS: Then run the inspector: این ریپازیتوری تنها یک بخش کوچک از پرو

English | 中文 kom 是一个用于 Kubernetes 操作的工具，相当于SDK级的kubectl、client-go的使用封装。 它提供了一系列功能来管理 Kubernetes 资源，包括创建、更新、删除和获取资源。这个项目支持多种 Kubernetes 资源类型的操作，并能够处理自定义资源定义（CRD）。 通过使用 kom，你可以轻松地进行资源的增删改查和日志获取以及操作POD内文件等动作，甚至可以使用SQL语句来查询、管理k8s资源。 1. 简单易用：kom 提供了丰富的功能，包括创建、更新、删除、获取、列表等，包括对内置资源以及CRD资源的操作。 2. 多集群支持：通过RegisterCluster，你可以轻松地管理多个 Kubernetes 集群，支持AWS EKS集群。 3. MCP支持：支持多集群的MCP管理,同时支持stdio、sse两种模式，内置58种工具，支

CloudBase MCP 🪐 AI 编程，一键上线 连接 AI IDE 与腾讯云 CloudBase 的部署桥梁，让你的 AI 应用即刻上线 English · 简体中文 · [文档][docs] · [更新日志][changelog] · [反馈问题][github-issues-link] [![][npm-version-shield]][npm-link] [![][npm-downloads-shield]][npm-link] [![][github-stars-shield]][github-stars-link] [![][github-forks-shield]][github-forks-link] [![][github-issues-shield]][github-issues-link] ![][github-license-shield] ![][githu

Model Context Protocol server for YDB. It allows to work with YDB databases from any LLM that supports MCP. This integration enables AI-powered database operations and natural language interactions with your YDB instances. uvx, which is an allias for uv run tool, allows you to run various python applications without explicitly installing them. Below are examples of how to configure YDB MCP using u

- ✅ Claude Code Integration - Optimized for use with Anthropic's Claude Code CLI - ✅ SSH Tunnel Support - Built-in support for SSH tunnels to remote databases - ✅ Auto-start/stop Hooks - Automatic tunnel management with Claude start/stop - ✅ DDL Operations - Added MYSQLDISABLEREADONLYTRANSACTIONS for CREATE TABLE support - ✅ Multi-Project Setup - Easy configuration for multiple projects with diffe

The Redis MCP Server is a natural language interface designed for agentic applications to efficiently manage and search data in Redis. It integrates seamlessly with MCP (Model Content Protocol) clients, enabling AI-driven workflows to interact with structured and unstructured data in Redis. Using this MCP Server, you can ask questions like: - "Store the entire conversation in a stream" - "Cache th

A high-performance Model Context Protocol (MCP) server for Trino implemented in Go. This project enables AI assistants to seamlessly interact with Trino's distributed SQL query engine through standardized MCP tools. This project implements a Model Context Protocol (MCP) server for Trino in Go. It enables AI assistants to access Trino's distributed SQL query engine through standardized MCP tools. T