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Found 98 Skills
Explains how to add and debug playwright MCP tools and CLI commands.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
Guide for creating effective skills. Use when users want to create a new skill (or update an existing skill) that extends the model's capabilities with specialized knowledge, workflows, or tool integrations.
Design the domain model for the Stitch SDK. Use when mapping MCP tools to domain classes and bindings in domain-map.json. This is Stage 2 of the generation pipeline.
Build and deploy an MCP server from an OpenAPI / Swagger spec using the mcp-use TypeScript SDK. Use this skill whenever the user wants to "turn this OpenAPI spec into an MCP server", "make this API usable from Claude/ChatGPT", "wrap this Swagger doc as MCP tools", "expose this REST API to an LLM", "generate MCP tools from a spec", or pastes/attaches an `openapi.yaml`, `openapi.json`, or `swagger.json` and asks for a Claude-compatible version. Trigger even if the user doesn't say "MCP" — if they describe an existing HTTP API (REST endpoints, an internal service, a third-party API they have a key for) and want an LLM to call it, this is the right skill. Covers spec ingestion (file path, URL, or pasted), operation-to-tool mapping, auth wiring (apiKey, bearer, basic, OAuth bearer), scaffolding with `create-mcp-use-app`, tool generation with proper zod schemas, live testing in the mcp-use inspector, and deploying to Manufact / mcp-use cloud.
Word Flow: Conduct in-depth word analysis and generate infographic cards in one go. It accepts one or more English words, runs ljg-word (which generates in-depth semantic analysis) and then ljg-card -i (which generates infographic PNGs). Use this when the user says '词卡', 'word card', 'word flow', or provides English words and wants both analysis and visual cards.
Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous coding assistants.
OpenAI Agents SDK (Python) development. Use when building AI agents, multi-agent workflows, tool integrations, or streaming applications with the openai-agents package.
Structured fortune-telling workflow skill using MCP tools. Use when users ask for divination, 八字/四柱, 六爻, 紫微斗数, 塔罗, 大运, 运势/流年, or want standardized解读流程 (e.g., 八字先看身强弱与喜用神再看大运流年). Enforce fixed analysis order, call the right MCP tool, and produce actionable interpretations.
Extracts specific fields from JSON files efficiently using jq instead of reading entire files, saving 80-95% context. Use this skill when querying JSON files, filtering/transforming data, or getting specific field(s) from large JSON files
Use when user asks to 'lint agent configs', 'validate skills', 'check CLAUDE.md', 'validate hooks', 'lint MCP'. Validates agent configuration files against 155 rules across 10+ AI tools.
Specify any visual piece —a product interface, a presentation, an infographic— screen by screen or slide by slide: purpose, structure, hierarchy, the content of every block and the visual criteria applied, written as a dated document of the loaded product node. It closes by checking whether the session has a tool able to build it and only then offers to; with no tool it closes with the document. Manually triggered, invocable on its own.