abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Represent a problem/research space as validated dimensions and values, enumerate compatible combinations, and optionally map occupancy, detect gaps, prioritize regions, or synthesize candidate questions/ideas.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill explore-dimensional-space --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/explore-dimensional-spaceContext preview
The summary Claude sees to decide when to auto-load this skill.
Represent a problem/research space as validated dimensions and values, enumerate compatible combinations, and optionally map occupancy, detect gaps, prioritize regions, or synthesize candidate questions/ideas.
name: explore-dimensional-space description: "Represent a problem/research space as validated dimensions and values, enumerate compatible combinations, and optionally map occupancy, detect gaps, prioritize regions, or synthesize candidate questions/ideas."
Represent a problem space as validated dimensions and values, enumerate compatible combinations, map occupancy, detect gaps, and synthesize candidate questions or ideas.
mode_contracts:
morphological-generation: &dimensional_input
required: [target_space, dimensions, values]
optional: [coverage_matrix, compatibility_rules, objective]
constraints: [dimension_semantics_and_independence_posture_must_be_declared]
research-space-mapping: *dimensional_input
gap-mapping: *dimensional_inputDo not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.
1. You MUST load skill `define-analysis-dimensions` to define the exploration axes. You MUST load skill `enumerate-dimension-values` to enumerate meaningful values. 2. Apply the selected mode's combination, compatibility, and coverage operations. 3. Retain axis dependencies and uncovered regions exposed by the selected mode. 4. When the task is not descriptive mapping, You MUST load skill `score-object` to score the retained regions. When a research question is in scope, You MUST load skill `generate-subquestions` to derive questions from those regions. If deliberate disruption is needed to escape the declared axes, consider `destructive-ideation`. If the main objective becomes systematic coverage repair, `coverage-white-space-search` may be the better next tactic. Deviation: skip scoring when the task is descriptive mapping; skip subquestions when no research question is in scope.
mode_contracts:
morphological-generation:
produces: [dimension_schema, value_catalog, combination_map, compatibility_report]
delta_fields: [findings, evidence_updates, hypothesis_updates, uncertainties, decisions, recommended_jumps]
research-space-mapping:
produces: [dimension_schema, value_catalog, coverage_gaps, prioritized_regions, subquestions]
delta_fields: [findings, evidence_updates, hypothesis_updates, uncertainties, decisions, recommended_jumps]
gap-mapping:
produces: [coverage_gaps, prioritized_regions, subquestions]
delta_fields: [findings, evidence_updates, hypothesis_updates, uncertainties, decisions, recommended_jumps]Do not call a sparse matrix a white space until compatibility and coverage semantics are checked. Merge redundant axes rather than double-counting them.
| source | source line | kind | source criterion | |---|---:|---|---| | v4 architecture | node desc | textual | Enumerate compatible combinations, validate axes, map occupancy and detect gaps. |
Append dimensions, values, combinations, pruned regions, gaps, scores, and derived questions.
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.