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.

在设计数据库模式、需要清晰地建模领域实体和关系、构建知识图或本体、创建 API 数据模型、定义系统边界和不变量、在数据模型之间迁移、建立分类法或层次结构、用户提到“模式”、“数据模型”、“实体”、“关系”、“本体”、“知识图”时使用，或者当分散/不一致的数据结构需要形式化时使用。 来源：zpankz/mcp-skillset。

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