Structured guidance for database selection, schema design, and query optimization decisions.
Works with
Covers six core areas: database selection (PostgreSQL, Neon, Turso, SQLite), ORM choice (Drizzle, Prisma, Kysely), schema normalization, indexing strategy, query optimization, and safe migrations
Emphasizes context-driven decision-making rather than defaulting to PostgreSQL; includes a checklist for schema design prerequisites
Highlights common anti-patterns: unnecessary PostgreSQL adoption,
Learn to THINK, not copy SQL patterns.
Read ONLY files relevant to the request! Check the content map, find what you need.
| File | Description | When to Read |
|---|---|---|
database-selection.md |
PostgreSQL vs Neon vs Turso vs SQLite | Choosing database |
orm-selection.md |
Drizzle vs Prisma vs Kysely | Choosing ORM |
schema-design.md |
Normalization, PKs, relationships | Designing schema |
indexing.md |
Index types, composite indexes | Performance tuning |
optimization.md |
N+1, EXPLAIN ANALYZE | Query optimization |
migrations.md |
Safe migrations, serverless DBs | Schema changes |
Before designing schema:
❌ Default to PostgreSQL for simple apps (SQLite may suffice) ❌ Skip indexing ❌ Use SELECT * in production ❌ Store JSON when structured data is better ❌ Ignore N+1 queries
This skill is applicable to execute the workflow or actions described in the overview.
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondatabase-designExecute the skills CLI command in your project's root directory to begin installation:
Fetches database-design from sickn33/antigravity-awesome-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate database-design. Access via /database-design in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
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Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
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Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
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Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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We added database-design from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
database-design has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: database-design is focused, and the summary matches what you get after install.
Solid pick for teams standardizing on skills: database-design is focused, and the summary matches what you get after install.
We added database-design from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: database-design is focused, and the summary matches what you get after install.
database-design fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added database-design from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
We added database-design from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
database-design fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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