data-schema-knowledge-modeling

SKILL.md

Create rigorous, validated models of entities, relationships, and constraints that enable correct system implementation, knowledge representation, and semantic reasoning.

Data schema & knowledge modeling is the process of formally defining:

Ask user for domain description, core use cases (what queries/operations will this support), existing data (if migration/integration), performance/scale requirements, and technology constraints (SQL vs NoSQL vs graph database). Understanding use cases shapes the model - OLTP vs OLAP vs graph traversal require different designs. See Schema Types for guidance.

在設計數據庫模式、需要清晰地建模領域實體和關係、構建知識圖或本體、創建 API 數據模型、定義系統邊界和不變量、在數據模型之間遷移、建立分類法或層次結構、用戶提到“模式”、“數據模型”、“實體”、“關係”、“本體”、“知識圖”時使用，或者當分散/不一致的數據結構需要形式化時使用。 來源：lyndonkl/claude。

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