build-domain-ontology

SkillDev tools

Lets 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.

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.

  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.

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

sourcecriteriontreatment
resolved v3 entries abovenode-specific criteriaretained and specialized to the v4 object contract
experiment-execution/statistical-testing$\alpha$ = 0.05fixed value retained where applicable
experiment-execution/sample-size-estimationpower = 0.8fixed 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