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Found 319 Skills
Discover and call remote schema-exposed interfaces with UXC. Use when an agent or skill needs to list operations, inspect operation schemas, and execute OpenAPI, GraphQL, gRPC, MCP, or JSON-RPC calls via one CLI contract.
Generate Python code for Naver Open APIs (News Search, Blog Search, Web Search, Datalab Trends, Image Search, Book Search, and other openapi.naver.com APIs). Use this skill whenever the user wants to call Naver APIs, search Naver News/Blog/Web/Images, fetch Datalab keyword trends, or write Python scripts that interact with Naver's Open API platform. This includes requests for code examples, API integration, parameter explanations, endpoint lookup, or troubleshooting Naver Open API calls. Even if the user just mentions 'Naver API', 'Naver news data', 'search trends', or 'openapi.naver.com', activate this skill immediately.
Contract testing for API consumers and providers. Pact framework, Spring Cloud Contract, consumer-driven contracts, provider verification, and contract broker setup. USE WHEN: user mentions "contract testing", "Pact", "consumer-driven contract", "Spring Cloud Contract", "API contract", "provider verification" DO NOT USE FOR: OpenAPI validation - use `openapi-contract`; integration testing - use integration test skills
REST and gRPC API design patterns for Go services. Covers HTTP handlers, middleware, routing, request/response patterns, versioning, pagination, graceful shutdown, and OpenAPI documentation. Use when designing APIs, writing HTTP handlers, implementing middleware, structuring REST endpoints, or setting up gRPC services. Trigger examples: "design API", "REST endpoints", "HTTP handler", "middleware pattern", "graceful shutdown", "gRPC service", "API versioning". Do NOT use for general architecture (use go-architecture-review) or concurrency in handlers (use go-concurrency-review).
Interact with KWeaver Knowledge Network and Decision Agent — build knowledge networks, query Schema/instances, semantic search, execute Action, Agent CRUD and conversation, Trace data analysis. Interact with Dataflow document processes — list processes, trigger runs, query run history, view step logs. Interact with Skill management module — register Skill, search in market, progressive reading, download and installation. Interact with Toolbox / Tool — create toolbox, upload OpenAPI tools, publish, start and stop. Interact with Vega observability platform — query Catalog/resources/connector types, health inspection. This skill is automatically activated when users mention intents such as "knowledge network", "knowledge graph", "query object type", "execute Action", "what Agents are there", "create Agent", "converse with Agent", "list all Agent templates", "list Agents I created", "list Agents in private space", "dataflow", "data flow", "process orchestration", "process run records", "process logs", "trigger dataflow", "view dataflow run history", "Skill", "skill package", "register Skill", "install Skill", "read SKILL.md", "toolbox", "toolbox", "upload tool", "register tool", "OpenAPI tool", "enable tool", "publish toolbox", "data source", "data view", "atomic view", "Catalog", "Vega", "health check", "inspection", "trace", "evidence chain", "data flow tracking", "data source", "how data is obtained", etc.
FastAPI web framework patterns. Triggers on: fastapi, api endpoint, dependency injection, pydantic model, openapi, swagger, starlette, async api, rest api, uvicorn.
TypeScript-first schema validation and type inference. Use for validating API requests/responses, form data, env vars, configs, defining type-safe schemas with runtime validation, transforming data, generating JSON Schema for OpenAPI/AI, or encountering missing validation errors, type inference issues, validation error handling problems. Zero dependencies (2kb gzipped).
Use this skill when building MCP (Model Context Protocol) servers with FastMCP in Python. FastMCP is a framework for creating servers that expose tools, resources, and prompts to LLMs like Claude. The skill covers server creation, tool/resource definitions, storage backends (memory/disk/Redis/DynamoDB), server lifespans, middleware system (8 built-in types), server composition (import/mount), OAuth Proxy, authentication patterns, icons, OpenAPI integration, client configuration, cloud deployment (FastMCP Cloud), error handling, and production patterns. It prevents 25+ common errors including storage misconfiguration, lifespan issues, middleware order errors, circular imports, module-level server issues, async/await confusion, OAuth security vulnerabilities, and cloud deployment failures. Includes templates for basic servers, storage backends, middleware, server composition, OAuth proxy, API integrations, testing, and self-contained production architectures. Keywords: FastMCP, MCP server Python, Model Context Protocol Python, fastmcp framework, mcp tools, mcp resources, mcp prompts, fastmcp storage, fastmcp memory storage, fastmcp disk storage, fastmcp redis, fastmcp dynamodb, fastmcp lifespan, fastmcp middleware, fastmcp oauth proxy, server composition mcp, fastmcp import, fastmcp mount, fastmcp cloud, fastmcp deployment, mcp authentication, fastmcp icons, openapi mcp, claude mcp server, fastmcp testing, storage misconfiguration, lifespan issues, middleware order, circular imports, module-level server, async await mcp
Technical documentation specialist for API docs, tutorials, architecture docs, and developer experienceUse when "documentation, docs, readme, tutorial, api docs, guide, changelog, comments, openapi, documentation, api-docs, tutorials, readme, openapi, swagger, developer-experience, technical-writing, ml-memory" mentioned.
Manage Alibaba Cloud Data Lake Formation (DlfNext) via OpenAPI/SDK. Use for listing resources, creating or updating configurations, querying status, and troubleshooting workflows for this product.
PHP API development mastery - REST, GraphQL, JWT/OAuth, OpenAPI documentation
Bootstrap Python MCP server projects and workspaces on macOS using uv and FastMCP with consistent defaults. Use when creating a new MCP server from scratch, scaffolding a single uv MCP project, scaffolding a uv workspace with package/service members, initializing pytest+ruff+mypy defaults, creating README.md, initializing git, running initial validation checks, or starting from OpenAPI/FastAPI with MCP mapping guidance.