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Found 8,451 Skills
Provides comprehensive guidance for creating Mermaid diagrams. Mermaid is a JavaScript-based diagramming and charting tool that uses Markdown-inspired text definitions and a renderer to create and modify complex diagrams. The main purpose of Mermaid is to help documentation catch up with development. Mermaid is particularly well-suited for use in Markdown documents, GitHub, GitLab, wikis, blogs, and other Markdown-based platforms. Use when the user wants to draw, create, generate, make, build, or visualize any diagram, chart, graph, flowchart, architecture diagram, sequence diagram, class diagram, state diagram, Gantt chart, mindmap, timeline, or any other visual diagram in Markdown-friendly format. This skill covers all 23+ Mermaid diagram types including flowcharts, sequence diagrams, class diagrams, state diagrams, ER diagrams, Gantt charts, pie charts, quadrant charts, Git graphs, C4 diagrams, mindmaps, timelines, and more. Always use this skill when the user mentions Mermaid, needs diagrams for Markdown documentation, or wants quick diagrams that render directly in Markdown renderers.
Agentic workflow for cloning websites with pixel-perfect fidelity using specialized sub-agents. Use when the user wants to clone/copy/replicate a website, create a landing page based on an existing site, or needs to extract and recreate a website's design. Includes orchestration via slash command, four specialized sub-agents (screenshotter, extractor, cloner, qa-reviewer), and outputs React components with Tailwind CSS and motion animations.
Automate terminal UI (TUI) apps with agent-tui for testing, inspection, demos, and scripted interactions. Use when automating CLI/TUI flows, regression testing terminal apps, verifying interactive behavior, or extracting structured text from terminal UIs. Also use when asked what agent-tui is, how it works, or to demo it. Do not use for web browsers, GUI apps, or non-terminal interfaces.
Guide for creating effective skills. Use when you want to create a new skill (or update an existing skill) that extends an agent with specialized workflows, tool integrations, or repo conventions.
Expert Coordinator pattern decisions for iOS/tvOS: when coordinators add value vs overkill, parent-child coordinator hierarchy design, SwiftUI vs UIKit coordinator differences, and flow completion handling. Use when designing navigation architecture, implementing multi-step flows, or decoupling views from navigation. Trigger keywords: Coordinator, navigation, flow, parent coordinator, child coordinator, deep link, routing, navigation hierarchy, flow completion
Expert MVVM decisions for iOS/tvOS: choosing between ViewModel patterns (state enum vs published properties vs Combine), service layer boundaries, dependency injection strategies, and testing approaches. Use when designing ViewModel architecture, debugging data flow issues, or deciding where business logic belongs. Trigger keywords: MVVM, ViewModel, ObservableObject, @StateObject, service layer, dependency injection, unit test, mock, architecture
CI/CD pipeline design, optimization, DevSecOps security scanning, and troubleshooting. Use for creating workflows, debugging pipeline failures, implementing SAST/DAST/SCA, optimizing build performance, implementing caching strategies, setting up deployments, securing pipelines with OIDC/secrets management, and troubleshooting common issues across GitHub Actions, GitLab CI, and other platforms.
Generates comprehensive documentation explaining how a codebase works, including architecture, key components, data flow, and development guidelines. Use when user wants to understand unfamiliar code, create onboarding docs, document architecture, or explain how the system works.
Build conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs. Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT. Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflows or tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labs packages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication
End-to-end testing patterns with Playwright for full-stack Python/React applications. Use when writing E2E tests for complete user workflows (login, CRUD, navigation), critical path regression tests, or cross-browser validation. Covers test structure, page object model, selector strategy (data-testid > role > label), wait strategies, auth state reuse, test data management, and CI integration. Does NOT cover unit tests or component tests (use pytest-patterns or react-testing-patterns).
Expert in drone systems, computer vision, and autonomous navigation. Specializes in flight control, SLAM, object detection, sensor fusion, and path planning. Activate on "drone", "UAV", "SLAM", "visual odometry", "PID control", "MAVLink", "Pixhawk", "path planning", "A*", "RRT", "EKF", "sensor fusion", "optical flow", "ByteTrack". NOT for domain-specific inspection tasks like fire detection, roof damage assessment, or thermal analysis (use drone-inspection-specialist), GPU shader optimization (use metal-shader-expert), or general image classification without drone context (use clip-aware-embeddings).
Build AI scientist systems using ToolUniverse Python SDK for scientific research. Use when users need to access 1000++ scientific tools through Python code, create scientific workflows, perform drug discovery, protein analysis, genomics analysis, literature research, or any computational biology task. Triggers include requests to use scientific tools programmatically, build research pipelines, analyze biological data, search literature, predict drug properties, or create AI-powered scientific workflows.