openclaw / cross-pollination-engine
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Run this command in your project directory to install the skill for your entire team:
mkdir -p .claude/skills/cross-pollination-engine && curl -L -o skill.zip "https://fastmcp.me/Skills/Download/1338" && unzip -o skill.zip -d .claude/skills/cross-pollination-engine && rm skill.zipProject Skills
This skill will be saved in .claude/skills/cross-pollination-engine/ and checked into git. All team members will have access to it automatically.
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Systematically borrow ideas from unrelated industries to solve problems. Innovation often comes from adjacent fields. Use when user says "cross-pollination", "how would X solve this", "borrow ideas from", "what can we learn from", "think outside the box", "how would Disney/Apple/Amazon do this", "different industry", "steal ideas".
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--- name: cross-pollination-engine description: Systematically borrow ideas from unrelated industries to solve problems. Innovation often comes from adjacent fields. Use when user says "cross-pollination", "how would X solve this", "borrow ideas from", "what can we learn from", "think outside the box", "how would Disney/Apple/Amazon do this", "different industry", "steal ideas". --- # Cross-Pollination Engine ## The Core Insight Most "innovation" is applying proven solutions from one domain to another. - Resistance wheels → Rollerblades - Gaming XP systems → Duolingo - Hotel concierge → Software onboarding ## The Process 1. **Define the core job** (strip away industry context) 2. **Find who else solves it** (often surprising industries) 3. **Extract principles** (not surface features) 4. **Translate to your context** (adapt, don't copy) ## Industry Inspiration Library | Need | Look At | Why | |------|---------|-----| | **Trust** | Banking, Healthcare, Aviation | Verification, credentials, checklists | | **Engagement** | Gaming, Fitness apps, Streaming | XP, streaks, personalization, progress | | **Onboarding** | Hotels, Theme parks, Luxury retail | Concierge, anticipation, personal touch | | **Simplicity** | Apple, IKEA, Google | Feature cutting, hidden complexity | | **Urgency** | E-commerce, Airlines, Fast food | Scarcity, anchoring, speed promises | | **Community** | CrossFit, Harley-Davidson, Peloton | Tribal identity, shared experience | ## Output Format ``` PROBLEM: [What you're solving] CORE JOB: [Stripped to fundamentals] FROM [Industry 1]: How they solve it: [x] Key principle: [y] Applied to us: [z] FROM [Industry 2]: How they solve it: [x] Key principle: [y] Applied to us: [z] SYNTHESIS: [Combined approach] NEXT STEP: [Concrete action] ``` ## Prompt Starters - "How would Disney solve our onboarding?" - "What would Amazon do with our data?" - "If this were a game, how would it work?" - "How do luxury hotels make people feel special?" ## Integration Compounds with: - **jtbd-analyzer** → Understand job first, then find who else solves it - **first-principles-decomposer** → Strip context to find fundamental need - **six-thinking-hats** → Green Hat pairs naturally with cross-pollination - **app-planning-skill** → Apply borrowed patterns to new apps --- See references/examples.md for Artem-specific cross-pollinations