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Found 8,954 Skills
Expert in Jest testing framework, advanced mocking strategies, snapshot testing, async patterns, TypeScript integration, and performance optimization
Build declarative AI Services with LangChain4j using interface-based patterns, annotations, memory management, tools integration, and advanced application patterns. Use when implementing type-safe AI-powered features with minimal boilerplate code in Java applications.
Expert guidelines for Solana program development with Rust, Anchor framework, and Web3.js integration
Expert guidance for Zigbee2MQTT development and configuration. Use when working with zigbee2mqtt codebase, configuration files (configuration.yaml, devices.yaml, groups.yaml), device converters, MQTT topic/payload design, or troubleshooting Zigbee device integration. Triggers on tasks involving Zigbee-to-MQTT bridge setup, device pairing workflows, converter development, and Home Assistant integration.
Document project tools and CLI utilities in docs/define/tools/. Use when documenting internal CLIs, scripts, development tools, or third-party integrations that team members need to understand and use.
C++ and Qt integration patterns for OBS Studio plugins. Covers Qt6 Widgets for settings dialogs, CMAKE_AUTOMOC, OBS frontend API, optional Qt builds with C fallbacks, and modal dialog patterns. Use when adding UI components or C++ features to OBS plugins.
Expert in using v0.dev for AI-powered UI generation. Covers prompting strategies, component iteration, shadcn/ui integration, export workflows, and customization. Knows how to get the best results from v0 and integrate generated components into production codebases. Use when "v0, v0.dev, generate ui, shadcn component, ai component, generate component, v0, v0-dev, ui-generation, shadcn, component-generation, ai-ui, vercel" mentioned.
Google Agent Development Kit (ADK) for Python. Capabilities: AI agent building, multi-agent systems, workflow agents (sequential/parallel/loop), tool integration (Google Search, Code Execution), Vertex AI deployment, agent evaluation, human-in-the-loop flows. Actions: build, create, deploy, evaluate, orchestrate AI agents. Keywords: Google ADK, Agent Development Kit, AI agent, multi-agent system, LlmAgent, SequentialAgent, ParallelAgent, LoopAgent, tool integration, Google Search, Code Execution, Vertex AI, Cloud Run, agent evaluation, human-in-the-loop, agent orchestration, workflow agent, hierarchical coordination. Use when: building AI agents, creating multi-agent systems, implementing workflow pipelines, integrating LLM agents with tools, deploying to Vertex AI, evaluating agent performance, implementing approval flows.
This skill generates a comprehensive set of Frequently Asked Questions (FAQs) from the course description, course content, learning graphs, concept lists, MicroSims, and glossary terms to help students understand common questions and prepare content for chatbot integration. Use this skill after course description, learning graph, glossary, and at least 30% of chapter content exist.
Comprehensive guide and tools for working with Shopify's Admin (REST & GraphQL) and Storefront APIs. Use this skill when the user needs to interact with Shopify data, manage resources (products, orders, customers), or build custom storefront integrations.
Specific rules for Starknet React projects, focusing on blockchain integration.
Notion database automation - sync, templates, workflows, and cross-platform integrations