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開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers

🚀 Generate executable TypeScript tools from MCP servers with 98% token savings. Progressive loading pattern for AI agents. Production-ready.

A monorepo of Unraid tooling: two MCP servers (Python and Rust) and three Unraid OS plugins, plus the Claude/Codex agent integrations that surface them.

The agent never holds a kubeconfig. Every write is policy-checked, human-approved, and traced.

Opencode-Raven keeps noisy tool work behind a focused Raven agent, so your main model gets compact answers instead of raw search results, docs pages, GitHub examples, MCP output, or large MCP schemas.

一个MCP服务

Build ToolJet apps end-to-end via governed MCP tools and an app-builder skill.

MCP server that gives AI assistants direct access to ngspice circuit simulation — design, simulate, and verify circuits through natural language

An MCP App for AI-powered video creation. It combines an MCP server with an interactive View — the model writes React/Remotion code, the server compiles it in real-time, and a live video player...

GUI + MCP control plane for your local dev servers. Humans click, agents automate the same daemon.

An MCP server that exposes the Revit API docs and sample code to LLMs.

A Roslyn-based MCP server that gives AI agents deep semantic understanding of .NET codebases — type hierarchies, call graphs, DI registrations, diagnostics, refactoring, and more.

Code Mode MCP — aggregate all your MCP servers behind search() + execute()
Agent Skills

The main branch is under active development for . The stable releases are maintained in the v0.x branch. The documentation for Rslib v1 is available at v1.rslib.rs.

本项目围绕吴恩达老师在 DeepLearning.AI 推出的 Agentic AI 系列课程,致力于为中文学习者提供高质量的课程内容翻译、系统化的知识梳理、关键概念解析以及配套示例代码的详细解读。项目不仅帮助学习者跨越语言障碍,更通过结构化整理与实践引导,深入理解“智能体”(Agent)在现代 AI 系统中的核心作用,掌握构建自主、协作、推理型 AI 应用的关键方法。

A high-performance Markdown parser and renderer for Angular, React, Svelte, Vue, HTML and ANSI.

Visual skill manager for AI agents. Desktop app and TUI.

License MIT · skills.sh Compatible Runtime

fly ai agent skill

This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).

橙皮书 (Orange Book) Series · by HuaShu (花叔)

vet supports special mode for Agent Skills. Run vet scan --agent-skill to scan an Agent Skill hosted in a GitHub repository.

EvoSkill: Automated Skill Discovery for Coding Agents

![NPM version][npm-url] ![Downloads][downloads-url] ![License][license-url] ![twitter][twitter] ![Discord Chat][discord-invite]

Screenshot testing is key to validate your app's appearance and functionality. It efficiently detects visual issues and tests the app as users would use it, making it easier to spot problems.