Agent skill
postgresql-optimization
PostgreSQL database optimization workflow for query tuning, indexing strategies, performance analysis, and production database management.
Install this agent skill to your Project
npx add-skill https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/postgresql-optimization
SKILL.md
PostgreSQL Optimization Workflow
Overview
Specialized workflow for PostgreSQL database optimization including query tuning, indexing strategies, performance analysis, vacuum management, and production database administration.
When to Use This Workflow
Use this workflow when:
- Optimizing slow PostgreSQL queries
- Designing indexing strategies
- Analyzing database performance
- Tuning PostgreSQL configuration
- Managing production databases
Workflow Phases
Phase 1: Performance Assessment
Skills to Invoke
database-optimizer- Database optimizationpostgres-best-practices- PostgreSQL best practices
Actions
- Check database version
- Review configuration
- Analyze slow queries
- Check resource usage
- Identify bottlenecks
Copy-Paste Prompts
Use @database-optimizer to assess PostgreSQL performance
Phase 2: Query Analysis
Skills to Invoke
sql-optimization-patterns- SQL optimizationpostgres-best-practices- PostgreSQL patterns
Actions
- Run EXPLAIN ANALYZE
- Identify scan types
- Check join strategies
- Analyze execution time
- Find optimization opportunities
Copy-Paste Prompts
Use @sql-optimization-patterns to analyze and optimize queries
Phase 3: Indexing Strategy
Skills to Invoke
database-design- Index designpostgresql- PostgreSQL indexing
Actions
- Identify missing indexes
- Create B-tree indexes
- Add composite indexes
- Consider partial indexes
- Review index usage
Copy-Paste Prompts
Use @database-design to design PostgreSQL indexing strategy
Phase 4: Query Optimization
Skills to Invoke
sql-optimization-patterns- Query tuningsql-pro- SQL expertise
Actions
- Rewrite inefficient queries
- Optimize joins
- Add CTEs where helpful
- Implement pagination
- Test improvements
Copy-Paste Prompts
Use @sql-optimization-patterns to optimize SQL queries
Phase 5: Configuration Tuning
Skills to Invoke
postgres-best-practices- Configurationdatabase-admin- Database administration
Actions
- Tune shared_buffers
- Configure work_mem
- Set effective_cache_size
- Adjust checkpoint settings
- Configure autovacuum
Copy-Paste Prompts
Use @postgres-best-practices to tune PostgreSQL configuration
Phase 6: Maintenance
Skills to Invoke
database-admin- Database maintenancepostgresql- PostgreSQL maintenance
Actions
- Schedule VACUUM
- Run ANALYZE
- Check table bloat
- Monitor autovacuum
- Review statistics
Copy-Paste Prompts
Use @database-admin to schedule PostgreSQL maintenance
Phase 7: Monitoring
Skills to Invoke
grafana-dashboards- Monitoring dashboardsprometheus-configuration- Metrics collection
Actions
- Set up monitoring
- Create dashboards
- Configure alerts
- Track key metrics
- Review trends
Copy-Paste Prompts
Use @grafana-dashboards to create PostgreSQL monitoring
Optimization Checklist
- Slow queries identified
- Indexes optimized
- Configuration tuned
- Maintenance scheduled
- Monitoring active
- Performance improved
Quality Gates
- Query performance improved
- Indexes effective
- Configuration optimized
- Maintenance automated
- Monitoring in place
Related Workflow Bundles
database- Database operationscloud-devops- Infrastructureperformance-optimization- Performance
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
perigon-backend
Perigon ASP.NET Core + EF Core + Aspire conventions
perigon-agent
Pointers for Copilot/agents to apply Perigon conventions
perigon-angular
Angular 21+ standalone/Material/signal conventions for Perigon WebApp
fastapi-mastery
Comprehensive FastAPI development skill covering REST API creation, routing, request/response handling, validation, authentication, database integration, middleware, and deployment. Use when working with FastAPI projects, building APIs, implementing CRUD operations, setting up authentication/authorization, integrating databases (SQL/NoSQL), adding middleware, handling WebSockets, or deploying FastAPI applications. Triggered by requests involving .py files with FastAPI code, API endpoint creation, Pydantic models, or FastAPI-specific features.
context7-efficient
Token-efficient library documentation fetcher using Context7 MCP with 86.8% token savings through intelligent shell pipeline filtering. Fetches code examples, API references, and best practices for JavaScript, Python, Go, Rust, and other libraries. Use when users ask about library documentation, need code examples, want API usage patterns, are learning a new framework, need syntax reference, or troubleshooting with library-specific information. Triggers include questions like "Show me React hooks", "How do I use Prisma", "What's the Next.js routing syntax", or any request for library/framework documentation.
browser-use
Browser automation using Playwright MCP. Navigate websites, fill forms, click elements, take screenshots, and extract data. Use when tasks require web browsing, form submission, web scraping, UI testing, or any browser interaction.
Didn't find tool you were looking for?