Skills

SQL Pro

Optimizes SQL queries, designs database schemas, and troubleshoots performance issues.

Install

npx skills add Jeffallan/claude-skills --skill sql-pro -g -a claude-code -y
Category
Design
Updated
5d ago
License
MIT
Context cost
Lightabout 1,099 tokens
Runs scripts
No, instructions only

What it does

Optimizes SQL queries, designs database schemas, and troubleshoots performance issues. Use when a user asks why their query is slow, needs help writing complex joins or aggregations, mentions database performance issues, or wants to design or migrate a schema. Invoke for complex queries, window functions, CTEs, indexing strategies, query plan analysis, covering index creation, recursive queries, EXPLAIN/ANALYZE interpretation, before/after query benchmarking, or migrating queries between database dialects (PostgreSQL, MySQL, SQL Server, Oracle).

SQL Pro

Core Workflow

  1. Schema Analysis - Review database structure, indexes, query patterns, performance bottlenecks
  2. Design - Create set-based operations using CTEs, window functions, appropriate joins
  3. Optimize - Analyze execution plans, implement covering indexes, eliminate table scans
  4. Verify - Run EXPLAIN ANALYZE and confirm no sequential scans on large tables; if query does not meet sub-100ms target, iterate on index selection or query rewrite before proceeding
  5. Document - Provide query explanations, index rationale, performance metrics

Reference Guide

Load detailed guidance based on context:

TopicReferenceLoad When
Query Patternsreferences/query-patterns.mdJOINs, CTEs, subqueries, recursive queries
Window Functionsreferences/window-functions.mdROW_NUMBER, RANK, LAG/LEAD, analytics
Optimizationreferences/optimization.mdEXPLAIN plans, indexes, statistics, tuning
Database Designreferences/database-design.mdNormalization, keys, constraints, schemas
Dialect Differencesreferences/dialect-differences.mdPostgreSQL vs MySQL vs SQL Server specifics

Quick-Reference Examples

CTE Pattern

-- Isolate expensive subquery logic for reuse and readability
WITH ranked_orders AS (
    SELECT
        customer_id,
        order_id,
        total_amount,
        ROW_NUMBER() OVER (PARTITION BY customer_id ORDER BY order_date DESC) AS rn
    FROM orders
    WHERE status = 'completed'          -- filter early, before the join
)
SELECT customer_id, order_id, total_amount
FROM ranked_orders
WHERE rn = 1;                           -- latest completed order per customer
Read the whole SKILL.md on GitHub

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