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postgresql-optimization

PostgreSQL database optimization workflow for query tuning, indexing strategies, performance analysis, and production database management.

.agents/skills/postgresql-optimization TypeScript
TY
MA
2+ layers Tracked stack
Capabilities
0
Signals
0
Related
3
0
Capabilities
Actionable behaviors documented in the skill body.
0
Phases
Operational steps available for guided execution.
0
References
Support files available for deeper usage and onboarding.
0
Scripts
Runnable or reusable automation artifacts discovered locally.

Architectural Overview

Skill Reading

"This module is grounded in ai engineering patterns and exposes 1 core capabilities across 1 execution phases."

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

Primary Stack

TypeScript

Tooling Surface

Guide only

Workspace Path

.agents/skills/postgresql-optimization

Operational Ecosystem

The complete hardware and software toolchain required.

This skill is mostly documentation-driven and does not expose extra scripts, references, examples, or templates.

Module Topology

Skill File
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Antigravity Core

Antigravity Core

Principal Engineering Agent

A high-performance agentic architecture developed by Deepmind for autonomous coding tasks.
120 Installs
4.2 Reliability
1 Workspace Files
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3
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