Analogy Extraction
SkillDev toolsExtract transferable structural principles from source domains. Orchestrates
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Analogy Extraction skill
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/analogy-extraction/SKILL.md and read by ahel’s review.
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 |
Signals
- GitHub stars
- 469
- Forks
- 37
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
analogy-extraction- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine