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backend-models

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更新日2026年2月7日 10:02

Design database models with clear naming conventions, appropriate data types, relationships, constraints, and indexing strategies. Use this skill when defining database models, schemas, or entities in ORMs like Prisma, Sequelize, TypeORM, ActiveRecord, Django ORM, Mongoose, or similar; when creating tables with PostgreSQL, MySQL, SQLite, MongoDB, or any database; when establishing model relationships (one-to-one, one-to-many, many-to-many); when adding database constraints (NOT NULL, UNIQUE, foreign keys); when implementing timestamps for auditing and debugging; when choosing appropriate data types for columns; when creating indexes on foreign keys and frequently queried fields; when balancing normalization with query performance; when implementing validation at model and database layers; or when structuring data models for optimal query performance and data integrity.

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shynlee04

shynlee04/idumb-v2

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Backend Models

This Skill provides Claude Code with specific guidance on how to adhere to coding standards as they relate to how it should handle backend models.

When to use this skill

When defining database models, schemas, or entities with ORMs
When creating database tables with appropriate structure
When establishing model relationships and cascade behaviors
When adding database constraints, indexes, and validations
When implementing timestamps for auditing and debugging
When choosing appropriate data types for database columns
When balancing normalization with query performance needs
When working with Prisma, Sequelize, TypeORM, ActiveRecord, Django, Mongoose, or similar

Instructions

For details, refer to the information provided in this file: backend models

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name

Backend Models

description

Backend Models

This Skill provides Claude Code with specific guidance on how to adhere to coding standards as they relate to how it should handle backend models.

When to use this skill

When defining database models, schemas, or entities with ORMs
When creating database tables with appropriate structure
When establishing model relationships and cascade behaviors
When adding database constraints, indexes, and validations
When implementing timestamps for auditing and debugging
When choosing appropriate data types for database columns
When balancing normalization with query performance needs
When working with Prisma, Sequelize, TypeORM, ActiveRecord, Django, Mongoose, or similar

Instructions

For details, refer to the information provided in this file: backend models