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Found 5,550 Skills
Test React components with Testing Library patterns. Covers queries (getBy/findBy/queryBy), user-event interactions, async testing (findBy vs waitFor), accessibility testing, and MSW integration for API mocking. Use when: testing React components, simulating user interactions, testing forms, mocking API calls with MSW, or writing accessible tests. Keywords: testing-library, react testing library, getByRole, user-event, waitFor, MSW, screen.
Expert in testing strategies for React, Next.js, and NestJS applications covering unit tests, integration tests, E2E tests, and testing best practices
Build revenue-generating partnerships including affiliate programs, integration partnerships, reseller programs, and co-marketing strategies. Activates for "how do I get partners" or affiliate setup questions.
SPEC workflow orchestration with EARS format requirements, acceptance criteria, and Plan-Run-Sync integration for MoAI-ADK development methodology. Use when creating SPEC documents, writing EARS requirements, defining acceptance criteria, planning features, or orchestrating the /moai plan phase. Do NOT use for implementation (use moai-workflow-ddd instead) or documentation generation (use moai-workflow-project instead).
Build real-time voice AI applications using Azure AI Voice Live SDK (azure-ai-voicelive). Use this skill when creating Python applications that need real-time bidirectional audio communication with Azure AI, including voice assistants, voice-enabled chatbots, real-time speech-to-speech translation, voice-driven avatars, or any WebSocket-based audio streaming with AI models. Supports Server VAD (Voice Activity Detection), turn-based conversation, function calling, MCP tools, avatar integration, and transcription.
Guide for convex-helpers library patterns including Triggers, Row-Level Security (RLS), Relationship helpers, Custom Functions, Rate Limiting, and Workpool. Use when implementing automatic side effects, access control, relationship traversal, auth wrappers, or concurrency management. Activates for triggers setup, RLS implementation, custom function wrappers, or convex-helpers integration tasks.
Review AI API key leakage patterns and redaction strategies. Use for identifying exposed keys for OpenAI, Anthropic, Gemini, and 10+ other providers. Use proactively when code integrates AI providers or when environment variables/keys are present. Examples: - user: "Check for leaked OpenAI keys" → scan for `sk-` patterns and client-side exposure - user: "Is my Gemini integration secure?" → audit vertex AI config and key redaction - user: "Review AI provider logging" → ensure secrets are redacted from logs - user: "Scan for Anthropic secrets" → check for `ant-` keys in code and configs - user: "Audit Vertex AI integration" → verify proper IAM roles and service account usage
Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
Standard software engineering workflow for requirement analysis, technical design, and task planning. Use this skill when developing new features, complex architecture designs, multi-module integrations, or projects involving database/UI design.
Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, deep integration with research-lookup for data gathering, and multi-framework strategic analysis including Porter's Five Forces, PESTLE, SWOT, TAM/SAM/SOM, and BCG Matrix.
Ant Design ecosystem guidance covering antd 6.x, Ant Design Pro 5/ProComponents, and Ant Design X v2 (AI/chat UI). Use when making component/layout decisions, theming/tokens, SSR, routing/access, CRUD patterns, or AI chat UI integrations.
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.