行動開發

User interview techniques, persona creation, journey mapping, and research synthesis patterns. Use when planning research studies, conducting interviews, creating personas, or translating research findings into actionable design recommendations.

Measurement approaches, profiling tools, optimization patterns, and capacity planning. Use when diagnosing performance issues, establishing baselines, identifying bottlenecks, or planning for scale. Always measure before optimizing.

Use when user asks to leverage claude or claude code to do something (e.g. implement a feature design or review codes, etc). Provides non-interactive automation mode for hands-off task execution without approval prompts.

Build and run an iPlug2 iOS app in the iOS Simulator

TDD workflow and test strategy patterns including test pyramid, coverage strategies, mocking approaches, and anti-patterns. Load when writing tests, designing test strategies, or reviewing test coverage.

Build stateful Durable Objects for real-time apps, WebSocket servers, coordination, and persistent state. Use when: implementing chat rooms, multiplayer games, rate limiting, session management, WebSocket hibernation, or troubleshooting class export, migration, WebSocket state loss, or binding errors.

Build React Native 0.76+ apps with Expo SDK 52. Covers mandatory New Architecture (0.82+), React 19 changes (propTypes/forwardRef removal), new CSS (display: contents, mixBlendMode, outline), Swift iOS template, and DevTools migration. Use when: building Expo apps, migrating to New Architecture, or troubleshooting "Fabric component not found", "propTypes not a function", "TurboModule not registered", or Swift AppDelegate errors.

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, post-call webhook, webhook payload schema, ElevenLabs-Signature header, transcript null message, call_successful string, webhook cost credits USD, charging llm_price, user context extraction, llm_usage tokens, data_collection_results, evaluation_criteria_results, feedback thumb_rating, interrupted turn, source_medium, rag_retrieval_info, has_audio has_user_audio has_response_audio

Comprehensive Flutter API reference guide covering widgets, Material Design, Cupertino, animations, gestures, navigation, state management, and platform integration. Use when developing Flutter applications and needing detailed API knowledge for widgets, layout, styling, animations, platform channels, or any Flutter SDK functionality. Essential for building cross-platform mobile, web, and desktop applications with Flutter.

Test application performance, scalability, and resilience. Use when planning load testing, stress testing, or optimizing system performance.

AI-powered testability assessment using 10 principles of intrinsic testability with Playwright and optional Vibium integration. Evaluates web applications against Observability, Controllability, Algorithmic Simplicity, Transparency, Stability, Explainability, Unbugginess, Smallness, Decomposability, and Similarity. Use when assessing software testability, evaluating test readiness, identifying testability improvements, or generating testability reports.

Evidence-based investigative code review using deductive reasoning to determine what actually happened versus what was claimed. Use when verifying implementation claims, investigating bugs, validating fixes, or conducting root cause analysis. Elementary approach to finding truth through systematic observation.

Comprehensive mobile testing for iOS and Android platforms including gestures, sensors, permissions, device fragmentation, and performance. Use when testing native apps, hybrid apps, or mobile web, ensuring quality across 1000+ device variants.

Apply London (mock-based) and Chicago (state-based) TDD schools. Use when practicing test-driven development or choosing testing style for your context.

Apply effective software quality consultancy practices. Use when consulting, advising clients, or establishing consultancy workflows.

Apply XP practices including pair programming, ensemble programming, continuous integration, and sustainable pace. Use when implementing agile development practices, improving team collaboration, or adopting technical excellence practices.

Apply safe refactoring patterns to improve code structure without changing behavior. Use when cleaning up code, reducing technical debt, or improving maintainability.

Apply context-driven testing principles where practices are chosen based on project context, not universal 'best practices'. Use when making testing decisions, questioning dogma, or adapting approaches to specific project needs.

Generate high-quality conventional git commit messages and, with user approval, run the commit. Use when drafting or refining commit messages, validating commit quality, or committing staged work while avoiding noisy histories.

Systematic code review workflow using zen mcp's codex tool. Use this skill when the user explicitly requests "use codex to check the code", "check if the recently generated code has any issues", or "check the code after each generation". The skill performs iterative review cycles - checking code quality, presenting issues to the user for approval, applying fixes, and re-checking until no issues remain or maximum iterations (5) are reached.