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Skill

/database-query-optimization

Improve database query performance through indexing, query optimization, and execution plan analysis. Reduce response times and database load.

From plugin
useful-ai-prompts
309200 skills
Install
$ npx -y skills add aj-geddes/useful-ai-prompts --skill database-query-optimization --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/database-query-optimization

Context preview

The summary Claude sees to decide when to auto-load this skill.

Improve database query performance through indexing, query optimization, and execution plan analysis. Reduce response times and database load.

SKILL.md

database-query-optimization.SKILL.md
name: database-query-optimization
description: >
  Improve database query performance through indexing, query optimization, and
  execution plan analysis. Reduce response times and database load.

Database Query Optimization

Table of Contents

  • [Overview](#overview)
  • [When to Use](#when-to-use)
  • [Quick Start](#quick-start)
  • [Reference Guides](#reference-guides)
  • [Best Practices](#best-practices)

Overview

Slow database queries are a common performance bottleneck. Optimization through indexing, efficient queries, and caching dramatically improves application performance.

When to Use

  • Slow response times
  • High database CPU usage
  • Performance regression
  • New feature deployment
  • Regular maintenance

Quick Start

Minimal working example:

-- Analyze query performance

EXPLAIN ANALYZE
SELECT users.id, users.name, COUNT(orders.id) as order_count
FROM users
LEFT JOIN orders ON users.id = orders.user_id
WHERE users.created_at > '2024-01-01'
GROUP BY users.id, users.name
ORDER BY order_count DESC;

-- Results show:
-- - Seq Scan (slow) vs Index Scan (fast)
-- - Rows: actual vs planned (high variance = bad)
-- - Execution time (milliseconds)

-- Key metrics:
-- - Sequential Scan: Full table read (slow)
-- - Index Scan: Uses index (fast)
-- - Nested Loop: Joins with loops
-- - Sort: In-memory or disk sort

Reference Guides

Detailed implementations in the `references/` directory:

| Guide | Contents | |---|---| | [Query Analysis](references/query-analysis.md) | Query Analysis | | [Indexing Strategy](references/indexing-strategy.md) | Indexing Strategy | | [Query Optimization Techniques](references/query-optimization-techniques.md) | Query Optimization Techniques | | [Optimization Checklist](references/optimization-checklist.md) | Optimization Checklist |

Best Practices

✅ DO

  • Follow established patterns and conventions
  • Write clean, maintainable code
  • Add appropriate documentation
  • Test thoroughly before deploying

❌ DON'T

  • Skip testing or validation
  • Ignore error handling
  • Hard-code configuration values
Read more
Ships withuseful-ai-prompts

488 production-ready AI prompts, all following a standardized template with validated quality gates. Transform ChatGPT, Claude, and other AI assistants into expert consultants.

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