abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Construct an explicit source↔target mapping over objects, relations, operations, constraints, and invariants for a claimed structural equivalence.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-structural-mapping --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/extract-structural-mappingContext preview
The summary Claude sees to decide when to auto-load this skill.
Construct an explicit source↔target mapping over objects, relations, operations, constraints, and invariants for a claimed structural equivalence.
name: extract-structural-mapping description: "Construct an explicit source↔target mapping over objects, relations, operations, constraints, and invariants for a claimed structural equivalence."
Construct an explicit source-to-target mapping over objects, relations, operations, constraints, and invariants.
required: [source_structure, target_structure, mapping_claim] optional: [required_objects, required_relations, invariants] constraints: [mapping must preserve identity and provenance of mapped elements]
1. Enumerate source and target elements. 2. Map objects, relations, operations, constraints, and invariants. 3. Mark unmatched, ambiguous, and many-to-one mappings.
If source-target correspondences are explicit, consider `test-structure-preservation` as the next tactic.
produces: [structural_mapping, unmatched_elements, ambiguity_report, invariant_inventory] delta_fields: [findings, evidence_updates, uncertainties]
Do not infer mapping from labels or surface resemblance.
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.