技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 5 · 2.1k · 4 current installs · 4 all-time installs
⭐ 5
安装量（当前） 4
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：artyomx33/cross-pollination-engine
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
This is an instruction-only creativity helper whose requirements and instructions align with its stated purpose and do not request extra system access or credentials.
目的
Name, description, and SKILL.md all describe brainstorming cross-industry idea transfer; nothing in the bundle asks for unrelated capabilities, binaries, or credentials.
说明范围
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.
安装机制
No install spec and no code files — nothing is written to disk or fetched at install time. Lowest-risk install posture.
证书
No required env vars, credentials, or config paths are declared; the skill's behavior does not imply a need for additional secrets.
持久
No privileged flags (always, disableModelInvocation) are set; the skill does not request permanent presence or autonomous invocation.
综合结论
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 or…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Cross-Pollination Engine」。简介：Systematically borrow ideas from unrelated industries to solve problems. Innova…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/artyomx33/cross-pollination-engine/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
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