Database
Database is an code AI skill with a core value of Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering. It
helps developers solve real-world problems in the code domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.
Quick Facts
mkdir -p ./skills/database && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/database/SKILL.md -o ./skills/database/SKILL.mdRun in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Database Workflow Bundle
Overview
Comprehensive database workflow for database design, development, optimization, migrations, and data engineering. Covers SQL, NoSQL, and modern data platforms.
When to Use This Workflow
Use this workflow when:
- Designing database schemas
- Implementing database migrations
- Optimizing query performance
- Setting up data pipelines
- Managing database operations
- Implementing data quality
Workflow Phases
Phase 1: Database Design
#### Skills to Invoke
- `database-architect` - Database architecture
- `database-design` - Schema design
- `postgresql` - PostgreSQL design
- `nosql-expert` - NoSQL design
#### Actions
1. Gather requirements
2. Design schema
3. Define relationships
4. Plan indexing strategy
5. Design for scalability
#### Copy-Paste Prompts
Use @database-architect to design database schemaUse @postgresql to design PostgreSQL schemaPhase 2: Database Implementation
#### Skills to Invoke
- `prisma-expert` - Prisma ORM
- `database-migrations-sql-migrations` - SQL migrations
- `neon-postgres` - Serverless Postgres
#### Actions
1. Set up database connection
2. Configure ORM
3. Create migrations
4. Implement models
5. Set up seed data
#### Copy-Paste Prompts
Use @prisma-expert to set up Prisma ORMUse @database-migrations-sql-migrations to create migrationsPhase 3: Query Optimization
#### Skills to Invoke
- `database-optimizer` - Database optimization
- `sql-optimization-patterns` - SQL optimization
- `postgres-best-practices` - PostgreSQL optimization
#### Actions
1. Analyze slow queries
2. Review execution plans
3. Optimize indexes
4. Refactor queries
5. Implement caching
#### Copy-Paste Prompts
Use @database-optimizer to optimize database performanceUse @sql-optimization-patterns to optimize SQL queriesPhase 4: Data Migration
#### Skills to Invoke
- `database-migration` - Database migration
- `framework-migration-code-migrate` - Code migration
#### Actions
1. Plan migration strategy
2. Create migration scripts
3. Test migration
4. Execute migration
5. Verify data integrity
#### Copy-Paste Prompts
Use @database-migration to plan database migrationPhase 5: Data Pipeline Development
#### Skills to Invoke
- `data-engineer` - Data engineering
- `data-engineering-data-pipeline` - Data pipelines
- `airflow-dag-patterns` - Airflow workflows
- `dbt-transformation-patterns` - dbt transformations
#### Actions
1. Design data pipeline
2. Set up data ingestion
3. Implement transformations
4. Configure scheduling
5. Set up monitoring
#### Copy-Paste Prompts
Use @data-engineer to design data pipelineUse @airflow-dag-patterns to create Airflow DAGsPhase 6: Data Quality
#### Skills to Invoke
- `data-quality-frameworks` - Data quality
- `data-engineering-data-driven-feature` - Data-driven features
#### Actions
1. Define quality metrics
2. Implement validation
3. Set up monitoring
4. Create alerts
5. Document standards
#### Copy-Paste Prompts
Use @data-quality-frameworks to implement data quality checksPhase 7: Database Operations
#### Skills to Invoke
- `database-admin` - Database administration
- `backup-automation` - Backup automation
#### Actions
1. Set up backups
2. Configure replication
3. Monitor performance
4. Plan capacity
5. Implement security
#### Copy-Paste Prompts
Use @database-admin to manage database operationsDatabase Technology Workflows
PostgreSQL
Skills: postgresql, postgres-best-practices, neon-postgres, prisma-expertMongoDB
Skills: nosql-expert, azure-cosmos-db-pyRedis
Skills: bullmq-specialist, upstash-qstashData Warehousing
Skills: clickhouse-io, dbt-transformation-patternsQuality Gates
- [ ] Schema designed and reviewed
- [ ] Migrations tested
- [ ] Performance benchmarks met
- [ ] Backups configured
- [ ] Monitoring in place
- [ ] Documentation comple
🎯 Best For
- Claude users
- Software engineers
- Development teams
- Tech leads
💡 Use Cases
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Database to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Is Database compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Database?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Database?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/database/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.