database-query-optimization
Improve database query performance through indexing, query optimization, and execution plan analysis. Reduce response times and database load.
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- 586
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill database-query-optimization- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads database-query-optimization automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Database Query Optimization
Table of Contents
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 | Query Analysis |
| Indexing Strategy | Indexing Strategy |
| Query Optimization Techniques | Query Optimization Techniques |
| Optimization Checklist | 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
FAQ
What does the database-query-optimization skill do?
Improve database query performance through indexing, query optimization, and execution plan analysis. Reduce response times and database load.
How do I install database-query-optimization?
Run npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill database-query-optimization in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/database-query-optimization/ (personal) or .claude/skills/database-query-optimization/ (project).
Which AI agents can use database-query-optimization?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is database-query-optimization safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains database-query-optimization?
It is published by aj-geddes in aj-geddes/useful-ai-prompts. It has 586 recorded installs.
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