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.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-structural-mapping --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-structural-mapping -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-structural-mapping -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-structural-mapping -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-structural-mapping -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-structural-mapping -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-structural-mapping -a windsurf -y
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.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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