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Use when explaining how an operational ontology becomes a digital twin — covers the twinning loop (model + live data + behavior), the 5-level maturity ladder, and how AI agents operate on a twin. Pairs with ontology-as-code-intro.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Use when wiring Ontology-as-Code into Git and CI — branching for an ontology, reviewing a schema change as a pull request, the four CI gates (validate PASS / expect-FAIL / codegen smoke / drift), semver for schema evolution, and the codegen pipeline. Trigger whenever the user wants CI, a pipeline, a gate, versioning, breaking-change rules, or to generate an SDK/diagram for their ontology/digital twin.
Use when introducing a team to Ontology-as-Code — explains the operational ontology concept, the 6-atom model (object/attribute/link/action/policy/event), how it differs from BI semantic layers, and the first steps to model one entity on LinkML.
Use when modeling any of the 6 atoms of an ontology/digital twin — ObjectType, AttributeType, LinkType, ActionType, PolicyType, EventType — the semantic-first way. Covers the business questions to ask before listing attributes, links as native slots, kinetic atoms as contracts, and data binding for twinning. Make sure to use this whenever the user wants to add, define, model, or create a domain object, attribute, relation/link, action, policy/rule, or event — even if they don't say 'ontology'.
Use for day-2 operations on a digital twin — adding, modifying, or deprecating a domain with breaking-change discipline, monitoring twin health (binding/freshness, governance ownership, event-stream, drift), and adopting ontology into an existing codebase. Trigger whenever the user wants to evolve, change, deprecate, or remove a domain concept, asks if a change is breaking, wants to health-check/audit a twin, or wants to bring ontology into a brownfield project.
| name | digital-twin-intro |
| description | Use when explaining how an operational ontology becomes a digital twin — covers the twinning loop (model + live data + behavior), the 5-level maturity ladder, and how AI agents operate on a twin. Pairs with ontology-as-code-intro. |
Skill giải thích vì sao một operational ontology (6-atom) CHÍNH LÀ nền của một digital twin, và con đường trưởng thành tới twin tự động do AI vận hành.
| Thành phần | Trong kit |
|---|---|
| Mô hình ảo (blueprint) | ObjectType + Attribute + Link (Lessons 2-3) |
| Kết nối dữ liệu sống (twinning) | x_data_binding + EventType (Lessons 4, 6) |
| Hành vi (kinetic) | ActionType + PolicyType (Lessons 5-6) |
| Tự động hoá / AI | AI agent grounded trên twin (Lesson 8) |
ontology (model) ↔ live data (binding) ↔ events (sync) ↔ actions (automate)
Descriptive → Informative → Predictive → Prescriptive → Autonomous.
Chi tiết + tự đánh giá: docs/DIGITAL-TWIN-MATURITY.md.
Vì twin grounded vào hành vi nghiệp vụ thật (action/policy/event), AI agent thao tác trên nó đáng tin — không hallucinate. Đây là đích Mức 5.
6-atom map gần 1:1 với Azure Digital Twins (DTDL): xem docs/DTDL-MAPPING.md.
Skill nền: ontology-as-code-intro. Curriculum: docs/lessons/.