11K skills · sorted by relevance
Find undocumented API endpoints, the addresses applications send requests to, by comparing traffic with OpenAPI specifications and examining cloud settings and source code. Build an inventory with activity and risk details to review forgotten or outdated APIs.
Expose REST APIs as tools for AI agents through Google Cloud API Gateway using MCP, a protocol for connecting agents to tools. Covers OpenAPI migration, authentication, client connections, validation, and troubleshooting.
Compare Bifrost HTTP API code with OpenAPI, its API specification, to find missing routes and mismatched methods, authentication, parameters, and responses. Get an audit report with code references and recommended fixes.
Turn an OpenAPI or Swagger specification into an MCP server, a bridge that lets AI assistants call an API. Covers tool generation, authentication, local testing, and deployment to mcp-use cloud.
Build Python APIs with FastAPI and Pydantic V2, including input validation, database operations that avoid blocking other work, and token-based authentication. Implement REST or WebSocket endpoints, then check their behavior with automated tests and generated API documentation.
Create and maintain API documentation in OpenAPI 3.0, a standard format for describing APIs. Document endpoints, request and response data, authentication, and errors with clear examples and reusable definitions.
Create and maintain OpenAPI 3.1 specifications from existing code or initial designs. Use these API descriptions to prepare documentation, generate client SDKs—libraries for calling an API—and check whether implementations match their specifications.
Build serverless endpoints that relay external API requests for a dashboard while keeping API keys on the server. Includes Vercel examples for input checks, caching, cross-origin access, and consistent JSON responses.
Create API specifications, interactive documentation, and developer portals that explain how to use an API. The skill also covers authentication examples, SDK generation, example testing, and migration guides to help developers integrate and maintain their applications.
Create or update API documentation from source code. The skill produces OpenAPI/Swagger specifications, descriptions of API operations, parameter and response references, authentication guidance, and practical examples for developers integrating an API.
Set up Python APIs with FastAPI using organized project templates. Build routes, asynchronous database operations, authentication, and error handling, with examples for sharing dependencies and testing endpoints through a separate test database.
Review REST API specifications with automated checks for inconsistent conventions and breaking changes—changes that disrupt existing clients. Get a design grade, improvement recommendations, and tool reports to support release reviews and API migrations.
Design REST or GraphQL APIs by defining data relationships, requests, responses, and authentication. Produce OpenAPI specifications, machine-readable API descriptions, with consistent errors, pagination, and versioning plans, then validate contracts using a mock server.
Integrate external services by finding supported APIs and SDKs, the libraries used to call them. Use context-matic to check authentication, data definitions, and available methods, then guide implementation and record completed integration milestones.
Configure authentication and per-project request limits for Google Cloud API Gateway. Secure access to Cloud Run backends, validate quota changes against existing configurations, and investigate HTTP 429 or Service Control Quota errors, including on MCP-enabled gateways.
Design and review REST APIs, interfaces that exchange resources over HTTP, with consistent URLs, responses, and error handling. Covers pagination, authentication, request limits, and versioning to clarify how clients interact with an API.
Design and review REST and GraphQL APIs with consistent naming, data structures, error responses, pagination for large result sets, and versioning strategies. Helps teams define shared standards and plan changes that existing clients can adopt gradually.
Build ASP.NET Minimal API endpoints with explicit request and response types, input validation, and standard error responses. Organize related endpoints and add OpenAPI documentation, a structured description of API operations, parameters, and schemas.
Develop and review FastGPT APIs with consistent input and output checks, TypeScript types, and OpenAPI documentation. It guides the use of Zod schemas, definitions that describe and validate data, alongside permission checks and reusable structures.
Find and call Feishu or Lark APIs when existing skills and CLI commands do not cover a task. Follow official documentation to identify the endpoint, required inputs, permissions, and a complete lark-cli command example.
Organize API documentation work from endpoint discovery to OpenAPI specifications, developer guides, and tested code examples. The workflow also covers interactive documentation, documentation sites, and maintenance, helping select the phases and supporting skills needed for a task.
Turn API code into documentation covering endpoints, inputs, authentication, responses, and errors. Add request examples in multiple languages and usage guides to help developers understand and start using the API.
Design consistent API specifications with OpenAPI 3.0 and 3.1. Define requests, responses, authentication, and reusable data structures, then guide specification checks, documentation, and generation of client libraries or starter server code.
Turn API code into documentation covering available operations, inputs, outputs, authentication, and errors. Add practical request examples and usage guides, with OpenAPI specifications or Postman collections where possible to help developers explore and use the API.