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Skill
postgresql-optimization
PostgreSQL database optimization workflow for query tuning, indexing strategies, performance analysis, and production database management.
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Install
skills CLI
npx skills add https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/postgresql-optimization
Claude Code
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install sickn33-agentic-awesome-skills@llmmart
Git
git clone https://github.com/sickn33/agentic-awesome-skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole sickn33/agentic-awesome-skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
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.
Files (agentic-awesome-skills)
-
SKILL.md 4 KB
--- name: postgresql-optimization description: "PostgreSQL database optimization workflow for query tuning, indexing strategies, performance analysis, and production database management." category: granular-workflow-bundle risk: safe source: personal date_added: "2026-02-27" --- # 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 optimization - `postgres-best-practices` - PostgreSQL best practices #### Actions 1. Check database version 2. Review configuration 3. Analyze slow queries 4. Check resource usage 5. Identify bottlenecks #### Copy-Paste Prompts ``` Use @database-optimizer to assess PostgreSQL performance ``` ### Phase 2: Query Analysis #### Skills to Invoke - `sql-optimization-patterns` - SQL optimization - `postgres-best-practices` - PostgreSQL patterns #### Actions 1. Run EXPLAIN ANALYZE 2. Identify scan types 3. Check join strategies 4. Analyze execution time 5. 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 design - `postgresql` - PostgreSQL indexing #### Actions 1. Identify missing indexes 2. Create B-tree indexes 3. Add composite indexes 4. Consider partial indexes 5. 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 tuning - `sql-pro` - SQL expertise #### Actions 1. Rewrite inefficient queries 2. Optimize joins 3. Add CTEs where helpful 4. Implement pagination 5. Test improvements #### Copy-Paste Prompts ``` Use @sql-optimization-patterns to optimize SQL queries ``` ### Phase 5: Configuration Tuning #### Skills to Invoke - `postgres-best-practices` - Configuration - `database-admin` - Database administration #### Actions 1. Tune shared_buffers 2. Configure work_mem 3. Set effective_cache_size 4. Adjust checkpoint settings 5. Configure autovacuum #### Copy-Paste Prompts ``` Use @postgres-best-practices to tune PostgreSQL configuration ``` ### Phase 6: Maintenance #### Skills to Invoke - `database-admin` - Database maintenance - `postgresql` - PostgreSQL maintenance #### Actions 1. Schedule VACUUM 2. Run ANALYZE 3. Check table bloat 4. Monitor autovacuum 5. Review statistics #### Copy-Paste Prompts ``` Use @database-admin to schedule PostgreSQL maintenance ``` ### Phase 7: Monitoring #### Skills to Invoke - `grafana-dashboards` - Monitoring dashboards - `prometheus-configuration` - Metrics collection #### Actions 1. Set up monitoring 2. Create dashboards 3. Configure alerts 4. Track key metrics 5. 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 operations - `cloud-devops` - Infrastructure - `performance-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.
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