build-domain-ontology
SkillDev toolsLets your agent build claude skill outputs that map a domain into concepts, typed relations, and a checked hierarchy.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the build-domain-ontology skill
About this skill
Construct a tool-independent domain ontology: scope the domain, atomize concepts, type relations, build hierarchy, audit consistency, detect gaps, and refine confidence.
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/build-domain-ontology/SKILL.md and read by ahel’s review.
Purpose
Construct a tool-independent domain ontology: scope the domain, atomize concepts, type relations, build hierarchy, audit consistency, detect gaps, and refine confidence.
Input contract
required: [domain_scope, concept_records, relation_evidence]
optional: [assumptions, prior_findings, evidence_updates]
constraints: [consume named scientific objects; preserve provenance; keep unresolved uncertainty visible]
Execution protocol
Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.
- You MUST load skill
scope-domainto freeze the domain question, inclusion boundary, granularity, and reopening trigger before extracting entities. - You MUST load skill
extract-conceptsto capture source-defined concepts and relation candidates while retaining aliases, qualifiers, and unresolved meanings. - You MUST load skill
atomize-conceptto split broad concepts into mechanism-, function-, level-, or context-specific facets. - You MUST load skill
type-relationto type each in-scope relation while preserving direction, rejected alternatives, and evidence. - You MUST load skill
construct-hierarchyto insert supported edges into an acyclic hierarchy and quarantine cycles, orphans, and missing levels. - You MUST load skill
audit-structure-consistencyto check node and relation schemas with hierarchy, dependency, cardinality, and cycle constraints. - You MUST load skill
detect-coverage-gapto prioritize absent, thin, disconnected, or weak regions. - You MUST load skill
canonicalize-entityto merge only semantically identical aliases and near-duplicates while retaining rejected merges. - You MUST load skill
update-confidence-from-evidenceto update confidence after identities and structure are stable. If the ontology is ready to express directed mechanisms, considerconstruct-causal-modelas the next tactic.
Deviation: reorder only when a dependency is already satisfied or unavailable; record the reason and confidence effect.
Output contract
produces: [scoped_ontology, typed_relations, consistency_findings, coverage_gaps]
delta_fields: [findings, decisions]
Thresholds and quality gates
- Each output is traceable to an input object, operation, and evidence reference.
- Scope, assumptions, and unresolved alternatives remain explicit.
- Retain $\alpha$ 0.05 and power 0.8 wherever the predeclared statistical design requires them.
Failure and counterexamples
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.
Provenance map
- intermediate: knowledge-structuring/ontology-building [campaign]
- resolved: domain-scoping
- resolved: concept-extraction
- resolved: relation-typing
- resolved: taxonomy-validation
- resolved: ontology-refinement
- resolved: hierarchy-construction
- intermediate: consistency-checking [tactic]
Preserved source criteria ledger
| 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 |
Context checkpoint / Delta notes
Return the node-specific research-state delta and preserve findings, evidence updates, uncertainties, decisions, open questions, and recommended jumps as applicable.
Signals
- GitHub stars
- 501
- Forks
- 41
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Key
build-domain-ontology- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine