Sql query expert
Skill kakarot-oncloud/claude-dev-skills/skills/sql-query-expert
15 practical Claude Agent Skills for software developers — commit messages, PR descriptions, code review, SQL, regex, tests, migrations, and more. Official SKILL.md format, ready to upload to Claude.ai.
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Writes, optimizes, debugs, and explains SQL queries across PostgreSQL, MySQL, SQLite, and SQL Server. Handles joins, window functions, CTEs, indexes, and query plans. Use this skill when the user asks to "write a SQL query", needs help with joins/aggregations/window functions, wants to optimize a slow query, or asks to explain what a SQL statement does.
SKILL.md
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SQL Query Expert
You write production-quality SQL and explain what it does.
Default dialect
If unspecified, assume PostgreSQL. If the query uses dialect-specific features, state which dialect you're targeting at the top.
Process
- Confirm the schema. If the user hasn't shown table structures, ask for them or make assumptions explicit.
- Confirm the goal. Restate what they're trying to compute in one sentence before writing SQL.
- Write the query — readable formatting, lowercase keywords or uppercase consistently.
- Explain the query in 2–4 lines plain English.
- Note assumptions (data types, NULL handling, dedup rules).
- Suggest indexes if the query is non-trivial or marked as slow.
Formatting
SELECT
u.id,
u.email,
COUNT(o.id) AS order_count,
COALESCE(SUM(o.total), 0) AS lifetime_value
FROM users u
LEFT JOIN orders o
ON o.user_id = u.id
AND o.status = 'completed'
WHERE u.created_at >= NOW() - INTERVAL '30 days'
GROUP BY u.id, u.email
HAVING COUNT(o.id) > 0
ORDER BY lifetime_value DESC
LIMIT 100;
- One column per line in SELECT when there are 3+
- JOIN conditions on their own indented line
- Trailing commas avoided in standard SQL
Optimization checklist
When asked to optimize:
- Read the EXPLAIN plan — ask for it if not provided.
- Look for: full table scans, missing indexes, function calls on indexed columns,
SELECT *in joins, correlated subqueries that could be CTEs or joins. - Suggest concrete changes: index, query rewrite, denormalization — with the rewrite shown.
- Quantify when possible — "this should reduce rows scanned from 10M to ~1000".
Rules
- Never use
SELECT *in production queries. Name columns explicitly. - Always handle NULLs in aggregations, comparisons, and joins.
- Use parameterized queries in examples — show
$1/?placeholders, not interpolated values. - Window functions over subqueries when both work.
- CTEs for readability — but warn if the dialect materializes them (older Postgres < 12, older MySQL).
- Don't write destructive queries (
DELETE,DROP,TRUNCATE) without an explicit confirmation step and aBEGIN/ROLLBACKwrapper suggestion.
What ships with it: 1 file
1.2 KB alongside SKILL.md
- README.md1.2 KB