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From product-designer
AI Design Lifecycle (AIDLC) — designs AI-powered product experiences covering strategy, research, UX patterns (conversational UI, copilots, prompts, suggestions), interaction design (streaming, multi-turn, regeneration), states and edge cases (loading, hallucination, rate limiting), safety and ethics (bias, consent, transparency), personalization (adaptive UI, recommendations), and emerging patterns (agents, generative UI, multimodal, RAG). Use when designing any AI/ML feature, chatbot, copilot, recommendation system, generative AI interface, or AI-assisted workflow. Triggers on: AI, ML, LLM, chatbot, copilot, conversational UI, prompt, generative AI, recommendation, suggestion, streaming response, hallucination, AI safety, AI ethics, bias, content moderation, AI onboarding, human-in-the-loop, regenerate, AI agent, multimodal, RAG, prompt engineering, AI personalization, adaptive UI.
How this skill is triggered — by the user, by Claude, or both
Slash command
/product-designer:aidlcThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Design AI-powered experiences that are useful, trustworthy, and transparent. AI features have unique UX challenges — this skill provides the frameworks.
Design AI-powered experiences that are useful, trustworthy, and transparent. AI features have unique UX challenges — this skill provides the frameworks.
| User's task involves | Load |
|---|---|
| AI feature strategy, use case identification, AI business models, AI competitive analysis, AI roadmapping | .claude/skills/aidlc/ai-product-strategy.md |
| Understanding AI user needs, trust research, AI mental models, AI anxiety, prompt research | .claude/skills/aidlc/ai-research.md |
| Conversational UI, prompt interfaces, copilot patterns, AI onboarding, transparency, explainability, suggestion UI, confidence indicators | .claude/skills/aidlc/ai-design-patterns.md |
| AI loading states, streaming UI, hallucination handling, error states, rate limiting, moderation, timeouts | .claude/skills/aidlc/ai-states-quality.md |
| AI bias, fairness, consent, privacy, content moderation, watermarking, misuse prevention, AI ethics | .claude/skills/aidlc/ai-safety-ethics.md |
| AI agents, generative UI, multimodal, AI personalization, adaptive UI, prompt engineering, RAG, AI technical collaboration | .claude/skills/aidlc/ai-emerging-technical.md |
AI features must earn user trust through transparency, control, and graceful failure. Users should always know:
npx claudepluginhub waqarahmed-design/product-designer-agent --plugin product-designerGuides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.