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Found 9,565 Skills
Self-contained test automation — invoke directly, do not decompose. End-to-end integration test that assembles a fixture, deploys Connect + Cloudflare, and presents a live URL for browser verification.
Use this skill for ANY question or task involving the Superfluid Protocol — writing integration code, debugging, looking up contract ABIs, understanding architecture, or answering questions. Do NOT search the web for Superfluid information before invoking this skill.
Request Interceptor Creator - Auto-activating skill for API Integration. Triggers on: request interceptor creator, request interceptor creator Part of the API Integration skill category.
Build MCP servers in Python with FastMCP. Workflow: define tools and resources, build server, test locally, deploy to FastMCP Cloud or Docker. Use when creating MCP servers, exposing tools/resources/prompts to LLMs, building Claude integrations, or troubleshooting FastMCP module-level server, storage, lifespan, middleware, OAuth, or deployment errors.
Tavily AI search API integration via curl. Use this skill to perform live web search and RAG-style retrieval.
Publish documentation and books with GitBook including spaces, collections, variants, Git sync, collaboration, and API integration
Comprehensive documentation of Claude's capabilities for visual regression testing, CI/CD integration, and quality assurance automation. Use when setting up testing infrastructure, implementing visual regression, or understanding agent testing capabilities. (project)
Creates and registers templates for agents, skills, workflows, hooks, and code patterns. Handles post-creation catalog updates, consuming skill integration, and README registration. Use when creating new template types or standardizing patterns.
Create a minimal working FireCrawl example. Use when starting a new FireCrawl integration, testing your setup, or learning basic FireCrawl API patterns. Trigger with phrases like "firecrawl hello world", "firecrawl example", "firecrawl quick start", "simple firecrawl code".
Build production-ready MCP servers using FastMCP v3. Guides research, scaffolding, tool/resource/prompt implementation, testing, and deployment. Targets FastMCP 3.0.0rc2 with Providers, Transforms, middleware, OAuth, and composition. Use when creating MCP servers, integrating APIs via MCP, converting OpenAPI specs or FastAPI apps, or troubleshooting FastMCP issues. NOT for building REST APIs, CLI tools, or non-MCP integrations.
Provides comprehensive NestJS best practices including modular architecture, dependency injection scoping, exception filters, DTO validation with class-validator, and Drizzle ORM integration. Use when designing NestJS modules, implementing providers, creating exception filters, validating DTOs, or integrating Drizzle ORM within NestJS applications.
Model Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.