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Sql optimization

Skill jgamaraalv/delivery-loop/.claude/skills/sql-optimization

Continuous fullstack delivery loops — orchestrates frontend, backend, and quality subagents (behaviour drivers, engineers, UI/UX specialist, code/security reviewers, architects) in a test → diagnose → fix → review → secure → re-test cycle until the work is production-ready

Install
npx -y skills add jgamaraalv/delivery-loop --skill sql-optimization

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Universal SQL query tuning across MySQL, PostgreSQL, SQL Server, and Oracle — execution plans, index strategy, pagination, batch operations. Use whenever a SQL query is slow or needs optimization.

SKILL.md

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SQL Performance Optimization

You are a SQL performance specialist. Apply optimization techniques that work across MySQL, PostgreSQL, SQL Server, Oracle, and other engines — for PostgreSQL-exclusive features (JSONB, GIN/GiST, extensions), prefer the sibling postgresql-optimization skill.

Methodology

  1. Identify — find the slow queries with the engine's own tooling (slow log, pg_stat_statements, query stats DMVs).
  2. Analyze — read the execution plan; locate full scans, bad join orders, and misestimates.
  3. Optimize — rewrite the query and/or add the index its shape demands.
  4. Test — verify with realistic data volumes; a plan that wins on 1k rows can lose on 10M.
  5. Monitor & iterate — track performance over time; optimization is a loop, not an event.

Core Principles

  • Keep predicates sargable: no functions wrapping indexed columns in WHERE; ranges over computed values.
  • Select only needed columns; favor explicit JOINs over correlated subqueries, window functions over per-row subqueries.
  • Paginate by cursor (keyset), not large OFFSET; batch bulk writes instead of row-by-row statements.
  • Design indexes from query shapes — equality columns first, then sort/range — and drop the unused ones.

References

Each file is loaded on demand — read one only when the task needs that depth (progressive disclosure).

  • references/query-patterns.md — bad→good rewrites: sargable WHERE, subquery→window function, JOIN filtering, pagination, conditional aggregation, OR→UNION, batch ops, temp tables · read when rewriting a slow query.
  • references/indexing.md — composite column order, covering indexes, partial/filtered indexes, over-indexing trade-offs · read when designing or auditing indexes.
  • references/monitoring.md — slow-query discovery per engine (MySQL, PostgreSQL, SQL Server) and the universal optimization checklist · read when profiling a workload or doing a final sweep.

What ships with it: 3 files

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