sql-query-optimization — Claude Code skill: analyze and speed up SQL
This skill digs into slow SQL queries on PostgreSQL and MySQL: execution plans, indexes, rewriting. Useful when a query drags and you can't tell why.
npx skills add aj-geddes/useful-ai-prompts --skill sql-query-optimization -a claude-codeWhat sql-query-optimization does
The skill gives your agent a procedure for analyzing SQL queries and finding bottlenecks. It covers reading execution plans with EXPLAIN, checking table statistics, indexing strategies, and query rewriting patterns. Joins, subqueries, and batch operations each get their own treatment.
Here's the layout: SKILL.md holds the trigger description and quick-start examples, while the detail lives in the references/ directory — four guides covering current-performance analysis, common optimization patterns, rewriting techniques, and batch operations. The agent pulls the relevant guide for the situation at hand.
PostgreSQL and MySQL are the stated targets. On another engine the pg_stats and EXPLAIN (ANALYZE, BUFFERS, FORMAT JSON) examples won't carry over directly, so check what your database offers for plan and statistics inspection before trusting the output.
What it helps with
- trace a slow query back to its cause in the execution plan
- confirm whether an index is actually being used
- rewrite a heavy join or subquery
- capture a performance baseline before tuning
- swap row-by-row inserts for batch operations
Example prompts for the agent
- Analyze this PostgreSQL query and show me where it's slow
- Check the execution plan for the yearly orders query and suggest indexes
- Rewrite this join, it takes far too long
How to install sql-query-optimization
1Skills CLI (Vercel)
npx skills add aj-geddes/useful-ai-prompts --skill sql-query-optimization -a claude-code2Manually: put the files in place
~/.claude/skills/sql-query-optimization/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/sql-query-optimization/
1Skills CLI (Vercel)
npx skills add aj-geddes/useful-ai-prompts --skill sql-query-optimization -a codex2Manually: put the files in place
.agents/skills/sql-query-optimization/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add aj-geddes/useful-ai-prompts --skill sql-query-optimization -a cursor2Manually: put the files in place
.cursor/skills/sql-query-optimization/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install aj-geddes/useful-ai-prompts sql-query-optimization2Manually: put the files in place
.github/skills/sql-query-optimization/SKILL.md1Skills CLI (Vercel)
npx skills add aj-geddes/useful-ai-prompts --skill sql-query-optimization -a gemini-cli2Platform CLI
gemini skills install https://github.com/aj-geddes/useful-ai-prompts --path skills/sql-query-optimizationManually: put the files in place
.devin/skills/sql-query-optimization/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add aj-geddes/useful-ai-prompts --skill sql-query-optimization -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about sql-query-optimization
How do I install sql-query-optimization in Claude?
Run npx skills add aj-geddes/useful-ai-prompts --skill sql-query-optimization -a claude-code. The skill file then lands at ~/.claude/skills/sql-query-optimization/SKILL.md.
What does sql-query-optimization do?
It walks through query performance work: reading execution plans, verifying index usage, and proposing rewrites and batch operations.
Which databases does the skill support?
PostgreSQL and MySQL are the stated targets. The reference material leans on those engines' tooling, EXPLAIN and pg_stats among them.
Source text
SKILL.md · MIT
--- name: sql-query-optimization description: > Analyze and optimize SQL queries for performance. Use when improving slow queries, reducing execution time, or analyzing query performance in PostgreSQL and MySQL. --- # SQL 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 Analyze SQL queries to identify performance bottlenecks and implement optimization techniques. Includes query analysis, indexing strategies, and rewriting patterns for improved performance. ## When to Use - Slow query analysis and tuning - Query rewriting and refactoring - Index utilization verification - Join optimization - Subquery optimization - Query plan analysis (EXPLAIN) - Performance baseline establishment ## Quick Start **PostgreSQL:** ```sql -- Analyze query plan with execution time EXPLAIN (ANALYZE, BUFFERS, FORMAT JSON) SELECT u.id, u.email, COUNT(o.id) as order_count FROM users u LEFT JOIN orders o ON u.id = o.user_id WHERE u.created_at > NOW() - INTERVAL '1 year' GROUP BY u.id, u.email; -- Check table statistics SELECT * FROM pg_stats WHERE tablename = 'users' AND attname = 'created_at'; ``` ## Reference Guides Detailed implementations in the `references/` directory: | Guide | Contents | |---|---| | [Analyze Current Performance](references/analyze-current-performance.md) | Analyze Current Performance | | [Common Optimization Patterns](references/common-optimization-patterns.md) | Common Optimization Patterns | | [Query Rewriting Techniques](references/query-rewriting-techniques.md) | Query Rewriting Techniques | | [Batch Operations](references/batch-operations.md) | Batch Operations | ## 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
© aj-geddes · MIT · aj-geddes/useful-ai-prompts