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analogical-transfer

@yogsoth-ai · 收录于 5 天前 · 上游提交 2 周前

Systematic structure-mapping from source to target domain (Gentner). Identify relational correspondences and transfer higher-order constraints.

适合你,如果需要在不同领域间系统化转移知识结构

/ 通过 npx 安装 校验哈希
npx oh-my-skill add yogsoth-ai/de-anthropocentric-research-engine/analogical-transfer
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- yogsoth-ai/de-anthropocentric-research-engine/analogical-transfer
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify yogsoth-ai/de-anthropocentric-research-engine/analogical-transfer
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

商店整理自技能原文 · 版本 59ace64 · 表述以原文为准
它做什么

Claude会运用结构映射理论,系统地寻找源领域与目标领域的深层关系相似性,将抽象原理迁移并适配到新领域,优先关系相似性而非表面相似性。

什么时候触发

当你要求进行类比推理、跨领域知识迁移或举一反三时。

装好后可以这样说
Claude会提取关系映射并产出类比结论。
Claude会寻找结构相似性并迁移原理。
Claude会进行结构匹配并适配。
技能原文 SKILL.md作者撰写 · Apache-2.0 · 59ace64

Analogical Transfer

Systematic structure-mapping from source to target domain following Gentner's structure-mapping theory. Prioritize relational similarity over surface similarity.

State Ledger

| Resource | Target | Current | % | |----------|--------|---------|---| | web-search | 25 | 0 | 0% | | web-research | 10 | 0 | 0% | | paper-overview | 30 | 0 | 0% | | paper-search | 20 | 0 | 0% | | paper-research | 8 | 0 | 0% |

HARD-GATE

Cannot exit strategy until ≥80% of each budget line is consumed OR yield targets are met with justification for remaining budget.

Available Tactics

| Tactic | Role | |--------|------| | analogy-extraction | Core tactic — extract and validate structural analogies | | domain-divergence | Find distant source domains with high structural similarity | | bridge-validation | Validate mapping depth before transfer |

Available SOPs

| SOP | Role | |-----|------| | domain-scanning | Find candidate source domains | | abstraction-extraction | Extract abstract relational structure | | structural-mapping | Map source→target correspondences | | analogy-quality-assessment | Rate analogy depth (surface/structural/systemic) | | transfer-adaptation | Adapt transferred principle to target constraints | | cross-domain-synthesis | Synthesize transfer outputs |

Execution Guidance
  1. Functionalize target: Restate target problem in relational terms (not object terms)
  2. Source search: Use domain-scanning to find domains with similar relational structure
  3. Abstract source: Extract relational structure from source using abstraction-extraction
  4. Map structure: Use structural-mapping to align source→target correspondences
  5. Assess depth: Apply analogy-quality-assessment — only proceed with STRUCTURAL or SYSTEMIC matches
  6. Transfer: Carry over higher-order relational constraints from source to target
  7. Adapt: Use transfer-adaptation to fit transferred principles to target constraints
  8. Validate: Confirm transferred solution respects target domain physics/logic

<!-- BEGIN available-tables (generated) -->

Available Tactics

Optional, no fixed order; the final leaf is always a sop.

| Tactic | When to use | | --- | --- | | bridge-validation | Validate analogy depth and transfer viability. Ensures only deep structural analogies (not surface-level similarities) proceed to transfer. | | domain-divergence | Scan and select maximally diverse source domains. Ensures creative search covers genuinely unrelated fields with high transfer potential. |

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

| SOP | When to use | | --- | --- | | abstraction-extraction | Extract abstract principles from concrete domain cases. Strips domain-specific details to reveal transferable mechanisms. | | analogy-quality-assessment | Assess analogy depth (surface/structural/systemic). Determines whether an analogy warrants transfer investment. | | cross-domain-synthesis | Synthesize all cross-domain findings into a structured idea report. Integrates outputs from all strategies and SOPs. | | structural-mapping | Map source→target structural correspondences. Identifies corresponding, missing, and extra elements between domains. | | transfer-adaptation | Adapt transferred principle to target problem constraints. Produces concrete adapted solutions from abstract principles. |

<!-- END available-tables (generated) -->

按 Apache-2.0 许可原样转载,未经改动 · 在 GitHub 查看 →

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