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Found 242 Skills
Discover, connect and use over 100K+ MCP tools and skills from the Smithery marketplace.
Turn any MCP server or OpenAPI spec into a CLI. Use this skill when the user wants to interact with an MCP server or OpenAPI/REST API via command line, discover available tools/endpoints, call API operations, or generate a new skill from an API. Triggers include "mcp2cli", "call this MCP server", "use this API", "list tools from", "create a skill for this API", or any task involving MCP tool invocation or OpenAPI endpoint calls without writing code.
JavaScript reverse engineering and browser debugging MCP server with anti-detection and agent-first tooling
Build MCP servers in Python with FastMCP to expose tools, resources, and prompts to LLMs. Supports storage backends, middleware, OAuth Proxy, OpenAPI integration, and FastMCP Cloud deployment. Prevents 30+ errors. Use when: creating MCP servers, or troubleshooting module-level server, storage, lifespan, middleware, OAuth, background tasks, or FastAPI mount errors.
Clerk authentication for Next.js 16 (App Router only) with proxy.ts setup, migration from middleware.ts, environment configuration, and MCP server integration.
Query DeepWiki for repository documentation and structure. Use to understand open source projects, find API docs, and explore codebases.
Claude Code: skills, agents, hooks, commands, MCP servers, IDE integrations.
Claude Code 环境一键同步工具。从 GitHub 仓库同步所有配置到本地：output-styles 风格、CLAUDE.md 全局提示词、MCP 服务器配置、Agent 配置、Plugin 配置。适用于多设备统一环境、换电脑恢复、团队共享配置等场景。当用户需要从 GitHub 仓库同步 Claude Code/OpenClaw 环境配置时使用此 skill。
Verify Claude Code Toolkit installation, diagnose issues, and guide new users through first-time setup
Use when integrating MCPCat analytics into a TypeScript MCP server, adding mcpcat to an existing TypeScript MCP project, setting up MCP server usage tracking, or when the user mentions mcpcat, MCPCat, or MCP analytics in a TypeScript context
Automatically intercepts and optimizes prompts using the prompt-learning MCP server. Learns from performance over time via embedding-indexed history. Uses APE, OPRO, DSPy patterns. Activate on "optimize prompt", "improve this prompt", "prompt engineering", or ANY complex task request. Requires prompt-learning MCP server. NOT for simple questions (just answer them), NOT for direct commands (just execute them), NOT for conversational responses (no optimization needed).
Guide developers through creating ChatGPT and MCP apps. Covers the full lifecycle: brainstorming ideas against UX guidelines, bootstrapping projects, implementing tools/widgets, debugging, running dev servers, deploying and connecting apps to ChatGPT. Use when a user wants to create or update a ChatGPT app, MCP app, MCP server or use the Skybridge framework.