/axis-extraction
Tactic for systematically extracting axes of variation from literature
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill axis-extraction --agent claude-codeHow it fires
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/axis-extraction
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Tactic for systematically extracting axes of variation from literature
SKILL.md
axis-extraction.SKILL.mdname: axis-extraction
description: Tactic for systematically extracting axes of variation from literature
— identify how practitioners compare approaches.
execution: tactic
dependencies:
sops:
- axis-validation
- dimension-page-creation
Axis Extraction
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
<HARD-GATE> ≥2 candidate axes identified per invocation with independence assessment. </HARD-GATE>
<!-- BEGIN available-tables (generated) -->
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. |
<!-- END available-tables (generated) -->
Read more
name: axis-extraction description: Tactic for systematically extracting axes of variation from literature — identify how practitioners compare approaches. execution: tactic dependencies: sops: - axis-validation - dimension-page-creation
Axis Extraction
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
<HARD-GATE> ≥2 candidate axes identified per invocation with independence assessment. </HARD-GATE>
<!-- BEGIN available-tables (generated) -->
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. |
<!-- END available-tables (generated) -->
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.
- /formated-results
Closing skill for the research-executor, loaded as the last step of formated-specs. Summarize the design just produced into one research-result JSON fenced block in your reply. Do not execute the research.
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.
Open skill - /injection-fidelity
Loss-1 judge (codex role). Given one sample's de-identified dialogue and its PolicyCard, decide axis-by-axis whether the user-simulator enacted the card's per-axis pressure. Judge enactment of the card, never whether the research is good.
Open skill - /ladder-quality-order
Loss-2 judge (codex role). Over one topic's 6 shuffled research-design samples, pairwise-rank by quality using the D1–D5 standard. Emit the pairwise log; the harness computes the order and the ladder verdicts. Judge quality difference, never against academic standards.
Open skill - /optimization-loop
The optimizer brain for the ladder-foundry pretraining loop. Runs the two-level nested batch loop, delegates gating to gate_eval, attributes a failing batch to one weight (attribute-first), and recovers from disk after compaction. Control flow is fully scripted; only the
Open skill - /acu-nugget-recall
Tactic: Extract atomic units from one paper and score how much of a caller-supplied summary covers. Use for ACU-style binary or Nugget-style ternary recall checks; cannot run without a target summary.
Open skill