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Cross-Pollination Engine

作者 artyomx33 · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install cross-pollination-engine
功能描述
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".
使用说明 (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

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

安全使用建议
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.
功能分析
Type: OpenClaw Skill Name: cross-pollination-engine Version: 1.0.0 The skill bundle is benign. It consists solely of markdown documentation and metadata, defining a creative problem-solving methodology. There is no executable code, no instructions for the AI agent to perform any system commands, network requests, or access sensitive files. The content in SKILL.md and references/examples.md is purely instructional and illustrative, guiding the agent to generate ideas in a structured format without any malicious intent or high-risk behaviors like data exfiltration or prompt injection for unauthorized actions.
能力评估
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install cross-pollination-engine
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /cross-pollination-engine 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release - Borrow ideas from unrelated industries to solve problems. By Artem Tolmachev, Teddy Kids, TISA & Claude.
元数据
Slug cross-pollination-engine
版本 1.0.0
许可证
累计安装 7
当前安装数 7
历史版本数 1
常见问题

Cross-Pollination Engine 是什么?

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". 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 2425 次。

如何安装 Cross-Pollination Engine?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install cross-pollination-engine」即可一键安装,无需额外配置。

Cross-Pollination Engine 是免费的吗?

是的,Cross-Pollination Engine 完全免费(开源免费),可自由下载、安装和使用。

Cross-Pollination Engine 支持哪些平台?

Cross-Pollination Engine 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Cross-Pollination Engine?

由 artyomx33(@artyomx33)开发并维护,当前版本 v1.0.0。

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