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Found 9 Skills
Design Thinking methodology for human-centered innovation. Covers the 5-phase IDEO/Stanford d.school approach (Empathize, Define, Ideate, Prototype, Test) with workshop facilitation and exercise templates.
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Creative Intelligence Suite for AI-driven ideation, design thinking, innovation strategy, problem-solving, and storytelling. 5 named specialist agents with distinct methodologies — no setup required, all workflows available immediately.
Strategic thinking framework integrating First Principles Analysis, Stanford Design Thinking, and MIT Systems Engineering for deeper problem-solving. Use when performing architecture decisions, technology selection trade-offs, root cause analysis, cognitive bias detection, or first principles decomposition. Do NOT use for code quality validation (use moai-foundation-quality instead) or implementation workflows (use moai-workflow-ddd instead).
Innovation management expertise for innovation frameworks (Design Thinking, Stage-Gate), ideation processes, innovation portfolio management, venture capital, open innovation, and IP strategy. Use when driving innovation, managing R&D portfolios, or building innovation programs.
Guide for facilitating creative brainstorming sessions using AI, leveraging techniques like SCAMPER, Design Thinking, and lateral thinking.
Use when brainstorming feels stuck or generates obvious ideas, need to break creative patterns, working with limited resources (budget/time/tools/materials), want unconventional solutions, designing with specific limitations, user mentions "think outside the box", "we're stuck", "same old ideas", "tight constraints", "limited budget/time", or seeking innovation through limitation rather than abundance.
Design Thinking process—Empathize, Define, Ideate, Prototype, Test. Use for product design, solving ambiguous problems, or when you don't know what users really need.
Design thinking principles for distinctive interfaces. Covers aesthetic direction, anti-patterns, and avoiding generic AI-generated aesthetics.