Design database schemas, ORM models, and migrations for SQL and NoSQL stores.
npx skills add https://github.com/sirn/dotfiles --skill code-design-schema
Please help me install this Agent Skill. Skill: code-design-schema Source: https://github.com/sirn/dotfiles/tree/main/var/agents/skills/code-design-schema Command: npx skills add https://github.com/sirn/dotfiles --skill code-design-schema
Design data models, database schemas, and ORM definitions to align data structures with business rules and scalability goals.
Provide a project brief and ask it to design the initial database schema with entities, relationships, and a migration plan.
High-intent search queries and answers about installing and using this skill.
To design a database schema, define entities, relationships, and constraints to align data structures with business rules. Provide a project brief to generate schema definitions, ORM models, and a migration plan with clear rationale for evolving data requirements.
Generate ORM models by defining entities and relationships across SQL and NoSQL stores. Propose normalization strategies and schema definitions tailored to your specific data structures to satisfy application requirements and ensure consistent data access.
Yes, you can propose migration plans for evolving database schemas. It generates migration strategies and normalization plans that handle schema changes over time, ensuring data structures continuously align with business rules and scalability goals.
You need a normalization strategy when defining entities and relationships to reduce redundancy and ensure consistent data access. It is applied during data modeling to align data structures with business rules and scalability goals in data-driven applications.
Yes, this approach works with both relational and document stores. It generates schemas and ORM models tailored to SQL and NoSQL data stores, proposing normalization strategies and migration plans that fit your specific data-driven application requirements.
Define relationships and constraints when starting a new project to ensure consistent data access and align data structures with business rules. This data modeling step prevents anomalies and establishes a robust foundation for generating ORM definitions and future migrations.
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