abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Map known methods against problem/parameter space and generate candidates from uncovered intersections. Acquisition mechanism is runtime-selected.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill coverage-white-space-search --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/coverage-white-space-searchContext preview
The summary Claude sees to decide when to auto-load this skill.
Map known methods against problem/parameter space and generate candidates from uncovered intersections. Acquisition mechanism is runtime-selected.
name: coverage-white-space-search description: "Map known methods against problem/parameter space and generate candidates from uncovered intersections. Acquisition mechanism is runtime-selected."
Map known methods against a problem space and generate candidates from uncovered intersections.
required: [reference_items, coverage_dimensions] optional: [performance_records, eligibility_rules] constraints: [reference items and dimension values must be identifiable]
Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.
1. You MUST load skill `inventory-reference-items` to inventory references. 2. You MUST load skill `map-coverage-space` to map coverage. 3. You MUST load skill `detect-coverage-gap` to detect uncovered regions. 4. You MUST load skill `synthesize-idea` to synthesize candidates. If a candidate gap is ready to become a testable explanation, consider `formulate-hypotheses`. If the gap itself still requires evidence validation, consider `validate-research-gap`. Deviation: acquisition is runtime-selected; do not infer coverage from missing records.
produces: [reference_inventory, coverage_map, white_space_gaps, candidate_ideas] delta_fields: [findings, evidence_updates, hypothesis_updates, decisions, open_questions]
Do not label a region white space when it is merely unsearched, incomparable, or outside the declared universe.
Append inventory additions, occupied cells, gap definitions, exclusions, and generated candidates.
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.