/analogy-extraction
Extract transferable structural principles from source domains. Orchestrates
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill analogy-extraction --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/analogy-extraction
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The summary Claude sees to decide when to auto-load this skill.
Extract transferable structural principles from source domains. Orchestrates
SKILL.md
analogy-extraction.SKILL.mdname: analogy-extraction
description: Extract transferable structural principles from source domains. Orchestrates
source identification → abstraction → structural mapping → transfer validation.
execution: tactic
Analogy Extraction
Extract transferable structural principles from source domains.
Stages
Stage 1: Source Identification
Identify candidate source domains using domain-scanning SOP. Evaluate each for structural similarity depth (surface/structural/systemic).
Stage 2: Abstraction
For each promising source, extract the abstract principle using abstraction-extraction or biological-strategy-extraction SOP. Strip domain-specific details to reveal the transferable mechanism.
Stage 3: Structural Mapping
Map source structure to target domain. Identify: corresponding elements, missing elements (gaps), extra elements (opportunities). Use structural-mapping SOP.
Stage 4: Transfer Validation
Assess mapping quality: Is the analogy surface-level (shared labels) or deep (shared relational structure)? Use analogy-quality-assessment SOP. Only deep analogies warrant transfer.
Minimum Yield
| Metric | Floor | |--------|-------| | Source domains scanned | ≥5 | | Abstractions extracted | ≥3 | | Structural mappings completed | ≥3 | | Validated deep analogies | ≥2 |
Available SOPs
| SOP | Role | |-----|------| | domain-scanning | Stage 1 — find candidate source domains | | web-search | Stage 1 — supplement domain search | | paper-overview | Stage 1 — find academic analogies | | abstraction-extraction | Stage 2 — extract abstract principles | | structural-mapping | Stage 3 — map source→target structure | | analogy-quality-assessment | Stage 4 — validate mapping depth | | novelty-scoring | Post — score resulting ideas | | idea-synthesis | Post — synthesize into coherent concepts |
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name: analogy-extraction description: Extract transferable structural principles from source domains. Orchestrates source identification → abstraction → structural mapping → transfer validation. execution: tactic
Analogy Extraction
Extract transferable structural principles from source domains.
Stages
Stage 1: Source Identification
Identify candidate source domains using domain-scanning SOP. Evaluate each for structural similarity depth (surface/structural/systemic).
Stage 2: Abstraction
For each promising source, extract the abstract principle using abstraction-extraction or biological-strategy-extraction SOP. Strip domain-specific details to reveal the transferable mechanism.
Stage 3: Structural Mapping
Map source structure to target domain. Identify: corresponding elements, missing elements (gaps), extra elements (opportunities). Use structural-mapping SOP.
Stage 4: Transfer Validation
Assess mapping quality: Is the analogy surface-level (shared labels) or deep (shared relational structure)? Use analogy-quality-assessment SOP. Only deep analogies warrant transfer.
Minimum Yield
| Metric | Floor | |--------|-------| | Source domains scanned | ≥5 | | Abstractions extracted | ≥3 | | Structural mappings completed | ≥3 | | Validated deep analogies | ≥2 |
Available SOPs
| SOP | Role | |-----|------| | domain-scanning | Stage 1 — find candidate source domains | | web-search | Stage 1 — supplement domain search | | paper-overview | Stage 1 — find academic analogies | | abstraction-extraction | Stage 2 — extract abstract principles | | structural-mapping | Stage 3 — map source→target structure | | analogy-quality-assessment | Stage 4 — validate mapping depth | | novelty-scoring | Post — score resulting ideas | | idea-synthesis | Post — synthesize into coherent concepts |
The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.
Repo: yogsoth-ai/de-anthropocentric-research-engine
Other skills on de-anthropocentric-research-engine.
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Open skill - /formated-specs
Spec-slot skill for the research-executor. Emit the 4-layer DARE orchestration of the assigned topic as one research-graph JSON fenced block in your reply. Replaces the generic spec-writing step.
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Open skill