abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Classify simplicity/compression as earned, weak, or decorative based on whether it forbids alternatives, compresses independent facts, or merely renames/repackages them.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill classify-simplicity-evidence --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/classify-simplicity-evidenceContext preview
The summary Claude sees to decide when to auto-load this skill.
Classify simplicity/compression as earned, weak, or decorative based on whether it forbids alternatives, compresses independent facts, or merely renames/repackages them.
name: classify-simplicity-evidence description: "Classify simplicity/compression as earned, weak, or decorative based on whether it forbids alternatives, compresses independent facts, or merely renames/repackages them."
Classify explanatory compression as earned, weak, or decorative.
required: [explanation, covered_facts, alternatives, predictions] optional: [evidence] constraints: [facts and alternatives must be independently listed]
1. Check whether independent facts are compressed. 2. Check whether alternatives are forbidden and predictions constrained. 3. Classify earned, weak, or decorative and preserve rationale.
If simplicity provides discriminating support only through a vulnerable consequence, consider `test-risky-prediction` as the next tactic.
produces: [simplicity_class, compression_evidence, missing_constraints] delta_fields: [findings, evidence_updates, uncertainties, decisions]
Do not classify by description length or elegance alone.
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
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Evaluate competing arguments against stated criteria and produce a reasoned verdict with uncertainty.
Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context, outcome, timeframe, system…
Run structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner. Perspective, target, escalation depth,…
Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.