Cross-Pollination Engine

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".

MIT-0 · Free to use, modify, and redistribute. No attribution required.
5 · 2.1k · 4 current installs · 4 all-time installs
MIT-0
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Purpose & Capability
Name, description, and SKILL.md all describe brainstorming cross-industry idea transfer; nothing in the bundle asks for unrelated capabilities, binaries, or credentials.
Instruction Scope
The runtime instructions are limited to a human-style process (define job, extract principles, translate). They do not instruct reading files, environment variables, or contacting external endpoints.
Install Mechanism
No install spec and no code files — nothing is written to disk or fetched at install time. Lowest-risk install posture.
Credentials
No required env vars, credentials, or config paths are declared; the skill's behavior does not imply a need for additional secrets.
Persistence & Privilege
No privileged flags (always, disableModelInvocation) are set; the skill does not request permanent presence or autonomous invocation.
Assessment
This skill is an instruction-only brainstorming tool and is internally consistent. Before installing, consider: (1) legal/ethical risk — avoid asking it to reproduce proprietary processes or confidential data from other companies; (2) composition risk — only combine it with other skills you trust, since chaining it to skills that have network or credential access could expand the attack surface; and (3) review references/examples.md for any organization-specific examples that might expose sensitive details. No technical credentials or installs are required, so the security risk from this package itself is minimal.

Like a lobster shell, security has layers — review code before you run it.

Current versionv1.0.0
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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

SKILL.md

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

NeedLook AtWhy
TrustBanking, Healthcare, AviationVerification, credentials, checklists
EngagementGaming, Fitness apps, StreamingXP, streaks, personalization, progress
OnboardingHotels, Theme parks, Luxury retailConcierge, anticipation, personal touch
SimplicityApple, IKEA, GoogleFeature cutting, hidden complexity
UrgencyE-commerce, Airlines, Fast foodScarcity, anchoring, speed promises
CommunityCrossFit, Harley-Davidson, PelotonTribal 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

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