reasoning-analogical
새로운 상황에 과거 경험 적용
새로운 시장, 제품 또는 상황에 직면할 때 과거 경험에서 관련 지식을 체계적으로 전환하는 방법이 필요합니다. 이 스킬은 맥락 차이를 고려하면서 전환 가능한 패턴을 식별하는 4단계 유비 추론 프레임워크를 제공합니다.
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测试它
正在使用“reasoning-analogical”。 We are a B2B SaaS company entering the healthcare vertical. We previously succeeded in the financial services vertical with our compliance automation product.
预期结果:
- Source Case: Financial Services Compliance (2023)
- Preserved Elements: Regulatory workflow automation, integration-first positioning, enterprise sales motion
- Modified Elements: Compliance domains (financial → healthcare regulations), Buyer process (procurement cycle adaptations)
- Broken Elements: Finance-specific reporting formats, Banking-specific audit trails
- Adapted Approach: Build healthcare-specific compliance templates, Partner with healthcare IT consultants, 18-month pilot timeline
- Confidence: 0.65 - Key uncertainty is healthcare procurement complexity
正在使用“reasoning-analogical”。 We are expanding our fashion e-commerce business to home goods. Our successful fit recommendation technology for fashion should transfer somehow.
预期结果:
- Source Case: Fashion Fit AI (2024)
- Preserved Elements: Visual AI core technology, Recommendation engine, Integration-first positioning
- Modified Elements: Fit algorithm → Dimension/space algorithm, Body measurements → Room/space measurements
- Broken Elements: Body measurement input flows, Fashion-specific sizing databases
- Adapted Approach: Partner with 2 furniture DTC brands, Adapt algorithm for dimension-based recommendations, Develop room visualization feature
- Confidence: 0.75 - Room visualization technical complexity is key uncertainty
安全审计
安全This is a pure documentation skill containing only YAML frontmatter and markdown. No executable code, scripts, network calls, filesystem access, or environment variable reads exist. The static scanner flagged documentation patterns (backticks for markdown code blocks, 'hash' in metadata field names, 'query' in YAML examples) as false positives. All 41 findings are dismissed as non-security issues in documentation context.
风险因素
🌐 网络访问 (1)
📁 文件系统访问 (1)
⚙️ 外部命令 (25)
质量评分
你能构建什么
새로운 수직 확장
적절한 적응과 함께 기존 수직 시장에서 성공적인 제품 전략을 새로운 시장 세그먼트에 적용합니다.
최고 사례 전환
필요한 변경 사항을 식별하면서 하나의 업계에서 입증된 접근 방식을 다른 고객 참여에 매핑합니다.
플레이북 적응
생소한 시장에 진입하거나 새로운 서비스를 출시할 때 이전 벤처 또는 동종 기업의 경험을 활용합니다.
试试这些提示
We are entering [new market/domain]. We previously succeeded with [past case] in [source domain]. Help me apply analogical reasoning to map our approach.
We want to build [new product type] for [new user segment]. We have experience building [existing product] for [existing segment]. Use analogical reasoning to identify what transfers and what needs adaptation.
We are facing [novel situation]. Use the four-stage analogical reasoning process: (1) Retrieve relevant source cases from [domain] with documented outcomes, (2) Extract structural elements including objects, relations, and constraints, (3) Map these to the target context identifying preserved, modified, and broken elements, (4) Generate an adapted solution with specific actions and confidence scores.
Review our planned approach for [new situation] against [successful reference case]. Identify gaps in our mapping where we may be over-transferring or under-adapting. Provide specific recommendations with confidence levels.
最佳实践
- 문서화된 측정 가능한 결과가 있는 소스 사례를 선택하고, 일화적 경험보다는 이를 활용하세요
- 각 매핑 구성 요소에 대해 어떤 요소가 전환, 적응 또는 손상되는지 명시적으로 식별하세요
- 신뢰 점수를 할당하고 각 적응에 대한 주요 불확실성을 문서화하세요
避免
- 표면적 유사성보다 근본적인 구조적 관계를 기반으로 매핑
- 명시적인 맥락 차이 분석 없이 완전한 전환 가정
- 다중 후보 유비 비교 없이 단일 소스 사례 사용