postgresql-optimization
Makes your agent optimize the PostgreSQL database. It analyzes queries, creates indexes, and manages production performance.
What it does
This tool helps improve the speed and performance of your PostgreSQL database. It analyzes slow queries, suggests indexes, and adjusts settings to make everything run faster.
When to use it
- ✓When your database queries are running slowly.
- ✓When designing or adjusting tables and indexes.
- ✓To check if database settings are optimal.
Example of what to ask your AI
“How can I optimize slow queries in my PostgreSQL database?”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool analyzes how the database is performing, identifies bottlenecks, and suggests changes. It might recommend creating indexes or altering configurations to speed up data access.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill postgresql-optimizationOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/postgresql-optimization/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
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
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
FAQ
What are indexes?
Indexes are like the index in a book; they help the database find information faster without having to read everything.
What are slow queries?
These are commands sent to the database that take a long time to respond, affecting application speed.
Do I need to be a PostgreSQL expert to use this?
No, the tool is designed to guide you even without deep knowledge, explaining the steps and suggestions.
Details
Original description by the author
PostgreSQL database optimization workflow for query tuning, indexing strategies, performance analysis, and production database management.
Popularity
- GitHub stars
- 48k
- Ranking position
- #3859
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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