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cross-pollination-engine异花授粉引擎

Agent Skill

cross-pollination-engine 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

24,539

周安装

677

GitHub Stars

公开资料未说明

下载量

9,273
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:cross-pollination-engine(异花授粉引擎)
来源仓库:https://github.com/clawdbot/skills
仓库路径:skills/cross-pollination-engine
安装命令:
npx skills add clawdbot/skills --skill "cross-pollination-engine"
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add clawdbot/skills --skill "cross-pollination-engine"

简介

异花授粉引擎用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于跨行业知识迁移、创新思路挖掘等场景的信息聚合需求。
  • 支持基于关键词、领域标签或应用场景的多维度结果筛选。
  • 安装前需确认权限范围和维护状态,注意可能触发联网或文件读写操作。
  • 建议参考原始 README 了解具体调用方式和结果展示格式。

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

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

windsurf

45.67%
按下载量换算4,235

Cursor

30.25%
按下载量换算2,805

Codex

12.88%
按下载量换算1,194

安全审计

暂无安全审计结果可展示。

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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