Axis Extraction
SkillDev toolsTactic for systematically extracting axes of variation from literature
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 Axis Extraction skill
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/axis-extraction/SKILL.md and read by ahel’s review.
Systematically extract axes of variation from literature. Look for how authors compare methods, what trade-offs they discuss, what design choices they highlight.
Available SOPs
- dimension-page-creation — create pages for identified dimensions
- axis-validation — verify axes are independent and meaningful
- wiki-search — check for existing dimension coverage
Guiding Principles
- Comparison reveals axes. When authors say "method A is X while method B is Y", X-Y is likely a dimension.
- Trade-offs are dimensions. "You can have speed or accuracy" reveals the speed-accuracy dimension.
- Taxonomies are pre-built axes. Existing classifications in the field are validated dimensions.
- Independence test. If changing one axis always changes another, they're not independent.
Minimum Yield
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| axis-validation | SOP for validating that candidate axes are independent and meaningful. |
| dimension-page-creation | SOP for creating a dimension page — documents an axis of variation with its values and semantics. |
Signals
- GitHub stars
- 469
- Forks
- 37
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
axis-extraction- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine