Skill: Optimize Database Query
SkillDatabases & dataWorkflow for identifying and fixing slow database queries. Use when a query is slow or the user asks to optimize database performance.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Skill: Optimize Database Query skill
What this skill tells your AI
The instructions your AI receives, as published by girijashankarj/cursor-handbook in .cursor/skills/database/query-optimization/SKILL.md and read by ahel’s review.
Trigger
When a query is slow or user asks to optimize database performance.
Steps
Step 1: Identify Slow Query
- Get the query text
- Measure current execution time
- Check query frequency (how often it runs)
Step 2: Analyze Query Plan
- Run EXPLAIN ANALYZE on the query
- Identify sequential scans on large tables
- Check for missing indexes
- Look for unnecessary joins or subqueries
- Check sort operations (external sorts)
Step 3: Optimize
Common optimizations:
- Add missing indexes
- Rewrite subqueries as JOINs
- Add WHERE clause filters to reduce data
- Use cursor-based pagination instead of OFFSET
- Add partial indexes for filtered queries
- Denormalize if read performance is critical
Step 4: Benchmark
- Run optimized query with EXPLAIN ANALYZE
- Compare before/after execution times
- Test with production-like data volume
- Verify results are identical
Step 5: Implement
- Update query in code
- Create migration for new indexes
- Add monitoring for the query
- Update any affected tests
Completion
Query optimized with measurable improvement and monitoring in place.
Signals
- GitHub stars
- 30
- Forks
- 3
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
query-optimization- Source
- github.com/girijashankarj/cursor-handbook