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Found 92 Skills
Use when wiring an external agent framework (LangGraph, CrewAI, PydanticAI, Mastra, ADK, LlamaIndex, Agno, Strands, Microsoft Agent Framework, or others) into a CopilotKit application via the AG-UI protocol.
Build production-ready multi-agent AI systems with security, observability, and scalability using LangGraph and FastAPI
Build modular Agentic RAG systems with LangGraph, featuring hierarchical indexing, conversation memory, and multi-agent query processing
Guides the agent through building LLM-powered applications with LangChain and stateful agent workflows with LangGraph. Triggered when the user asks to "create an AI agent", "build a LangChain chain", "create a LangGraph workflow", "implement tool calling", "build RAG pipeline", "create a multi-agent system", "define agent state", "add human-in-the-loop", "implement streaming", or mentions LangChain, LangGraph, chains, agents, tools, retrieval augmented generation, state graphs, or LLM orchestration.
Expert guidance for LangChain and LangGraph development with Python, covering chain composition, agents, memory, and RAG implementations.
Build production-ready GenAI agents with stateful workflows, vector memory, deployment, and orchestration using LangGraph and LangChain
LangChain / LangGraph engineering pitfalls and verified fixes. Covers DeepAgents, OpenAI-compatible model integration (including Chinese provider adapters: DeepSeek, Qwen, GLM, etc.), middleware, streaming, multi-agent orchestration, and other common development issues. Use when hitting unexpected behavior, making architecture decisions, or integrating Chinese LLM providers during LangChain development.
Analyze UI design screenshots and generate React components with TypeScript and Tailwind CSS. Use this skill when the user provides UI mockups, design screenshots, or Figma exports and requests implementation. Provides detailed layout analysis, component breakdown, design token extraction, and production-ready code generation following best practices.
Professional WeChat Official Account Article Creation Assistant. It is used when users provide website links, text materials or images and need to create WeChat Official Account articles. It supports enriching content through search tools, optimizing titles, and adjusting the tone to an official copy style, helping to create high-quality official account posts. Suitable for official content creation scenarios such as corporate promotion, brand promotion, and news reporting.
调用扣子(Coze)智能体 API 进行对话、工作流执行等操作。当用户需要集成 Coze 智能体、调用 Coze API、或开发 Coze 相关应用时使用。支持流式和非流式对话、工作流调用等功能。
Build complete React features with proper layered architecture including UI components, business logic, API integration, and state management. Use this skill when users request implementing features like "user authentication", "shopping cart", "product listing", "file upload", or any complete functionality that requires UI + business logic + data fetching. Generates all layers - presentation (components), business logic (hooks/stores/validation), and data access (API calls/React Query). Integrates with react-component-generator for UI and provides production-ready, maintainable code following best practices.
Analyze and optimize user prompts for clarity, specificity, and completeness using interactive questionnaires or direct analysis. Use this skill when user requests are vague, ambiguous, incomplete, or lack necessary details. Supports two modes - Interactive Mode (uses AskUserQuestion tool for guided clarification) and Direct Analysis Mode (provides optimization suggestions). Triggers on prompts containing vague language like "something", "thing", "stuff", "it", or when requests lack context, technical specifications, success criteria, or examples. When user requests interactive/questionnaire mode, use AskUserQuestion to guide them through structured questions. Helps transform unclear requests into well-structured, actionable prompts.