abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Map a set of methods/assets/evidence items against a typed problem, capability, condition, or design space to expose redundancy and coverage structure.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill map-coverage-space --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/map-coverage-spaceContext preview
The summary Claude sees to decide when to auto-load this skill.
Map a set of methods/assets/evidence items against a typed problem, capability, condition, or design space to expose redundancy and coverage structure.
name: map-coverage-space description: "Map a set of methods/assets/evidence items against a typed problem, capability, condition, or design space to expose redundancy and coverage structure."
Map methods, assets, or evidence against a typed problem or capability space to expose redundancy and gaps.
required: [item_set, coverage_dimensions, target_space] optional: [strength_scale, applicability_rules, evidence_links] constraints: [dimension semantics and coverage states are declared]
1. Define cells or regions from the supplied dimensions. 2. Assign each item to supported, partial, or unsupported regions. 3. Merge duplicate coverage and identify uncovered or weakly supported regions. 4. Return the map with evidence and confidence annotations.
If expected and observed coverage are represented on the same space, consider `detect-coverage-gap` as the next tactic.
produces: [coverage_map, redundancy_clusters, gap_register, confidence_annotations] delta_fields: [findings, evidence_updates, uncertainties]
Caller supplies item schema, dimension ontology, coverage states, strength scale, and audit numerator/denominator definitions.
Reject maps with implicit dimensions, unsupported assignments, or ratios lacking a declared universe.
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.