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onewave-ai avatar

Database Schema Designer

onewave-ai/claude-skills
319 installs244 stars
Summary

Handles the full database design workflow from requirements gathering to production-ready schemas. It generates proper SQL or NoSQL table definitions with primary keys, foreign keys, and indexes, plus ASCII ERD diagrams and up/down migration scripts. The output follows solid conventions like snake_case naming, appropriate data types, and 3NF normalization with denormalization notes where performance matters. It covers both relational patterns (PostgreSQL, MySQL) and document stores (MongoDB) with different strategies for each. The structured format with sections for relationships, indexes, and optimization notes makes it easy to review or hand off to a team. Solid for greenfield projects or when you need to formalize an ad hoc schema that grew organically.

Install to Claude Code

npx -y skills add onewave-ai/claude-skills --skill database-schema-designer --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.mdView on GitHub

Database Schema Designer

Design optimized, scalable database schemas with proper relationships and indexes.

Contents

  • references/schema-templates.md — SQL/NoSQL schema templates, ASCII ERD, and migration script templates.
  • references/output-format.md — labeled section structure for the final deliverable.
  • references/best-practices.md — naming, data types, indexes, relationships, SQL/NoSQL design rules, and the output quality checklist.

Workflow

  1. Gather requirements. Determine the database engine (PostgreSQL, MySQL, MongoDB, etc.), application domain, main entities, most common queries, expected data volume and growth, performance requirements, and any compliance constraints.

  2. Design the schema. Apply the engine-appropriate rules in references/best-practices.md (SQL Database Design or NoSQL Database Design).

  3. Generate the complete schema. Produce CREATE TABLE statements or collection documents using the templates in references/schema-templates.md.

  4. Create the entity relationship diagram in text format following the ERD template in references/schema-templates.md.

  5. Provide migration scripts with both up and down (rollback) paths, per the migration template in references/schema-templates.md.

  6. Format the complete output using the labeled sections in references/output-format.md.

  7. Verify the result against the output quality checklist in references/best-practices.md.

Example Triggers

  • "Design a database schema for an e-commerce platform"
  • "Create SQL tables for a blog system"
  • "Help me design a MongoDB schema for a social network"
  • "Optimize this database schema for performance"
  • "Generate migration scripts for my schema"

Generate production-ready, optimized database schemas that scale.

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Categories
Backend & APIsProductivity & PlanningDesign & UI/UXDatabases
First SeenJun 3, 2026
View on GitHub

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