abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Construct a tool-independent domain ontology: scope the domain, atomize concepts, type relations, build hierarchy, audit consistency, detect gaps, and refine confidence.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill build-domain-ontology --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/build-domain-ontologyContext preview
The summary Claude sees to decide when to auto-load this skill.
Construct a tool-independent domain ontology: scope the domain, atomize concepts, type relations, build hierarchy, audit consistency, detect gaps, and refine confidence.
name: build-domain-ontology description: "Construct a tool-independent domain ontology: scope the domain, atomize concepts, type relations, build hierarchy, audit consistency, detect gaps, and refine confidence."
Construct a tool-independent domain ontology: scope the domain, atomize concepts, type relations, build hierarchy, audit consistency, detect gaps, and refine confidence.
required: [domain_scope, concept_records, relation_evidence] optional: [assumptions, prior_findings, evidence_updates] constraints: [consume named scientific objects; preserve provenance; keep unresolved uncertainty visible]
Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.
1. You MUST load skill `scope-domain` to freeze the domain question, inclusion boundary, granularity, and reopening trigger before extracting entities. 2. You MUST load skill `extract-concepts` to capture source-defined concepts and relation candidates while retaining aliases, qualifiers, and unresolved meanings. 3. You MUST load skill `atomize-concept` to split broad concepts into mechanism-, function-, level-, or context-specific facets. 4. You MUST load skill `type-relation` to type each in-scope relation while preserving direction, rejected alternatives, and evidence. 5. You MUST load skill `construct-hierarchy` to insert supported edges into an acyclic hierarchy and quarantine cycles, orphans, and missing levels. 6. You MUST load skill `audit-structure-consistency` to check node and relation schemas with hierarchy, dependency, cardinality, and cycle constraints. 7. You MUST load skill `detect-coverage-gap` to prioritize absent, thin, disconnected, or weak regions. 8. You MUST load skill `canonicalize-entity` to merge only semantically identical aliases and near-duplicates while retaining rejected merges. 9. You MUST load skill `update-confidence-from-evidence` to update confidence after identities and structure are stable. If the ontology is ready to express directed mechanisms, consider `construct-causal-model` as the next tactic.
Deviation: reorder only when a dependency is already satisfied or unavailable; record the reason and confidence effect.
produces: [scoped_ontology, typed_relations, consistency_findings, coverage_gaps] delta_fields: [findings, decisions]
Stop synthesis when a required object is absent, a precondition is violated, or a counterexample invalidates the proposed conclusion; return the partial delta with the failure recorded.
| source | criterion | treatment | |---|---|---| | resolved v3 entries above | node-specific criteria | retained and specialized to the v4 object contract | | experiment-execution/statistical-testing | $\alpha$ = 0.05 | fixed value retained where applicable | | experiment-execution/sample-size-estimation | power = 0.8 | fixed value retained where applicable |
Return the node-specific research-state delta and preserve findings, evidence updates, uncertainties, decisions, open questions, and recommended jumps as applicable.
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.