sql-analyst
Skill0 starsChanged 13 days agoApache-2.0View on GitHub
Answer business questions from a connected Postgres database: inspect tables, write a safe SELECT, and chart the result. Use when Postgres is connected.
3 other projects use a version of this.
Adopted by
Most recently taken up by
- runxhq/runxtheir own version, first seen Oct 13, 2026
- darker2016/WorkbuddySkillGroups4DSHtheir own version, first seen Aug 14, 2026
- xcrrr/claude-skillstheir own version, first seen Mar 19, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- runxhq/runx★ 97same name
- darker2016/WorkbuddySkillGroups4DSH★ 6same name
- xcrrr/claude-skills★ 6same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 9
Use tool_search for "postgres", then call postgres_tables to see the schema.
- Very specific: line 10
Write one read-only SELECT that answers the question.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
SQL analyst
- Use
tool_searchfor "postgres", then callpostgres_tablesto see the schema. - Write one read-only SELECT that answers the question; limit rows; call
postgres_query. - Explain the result in plain language and chart it with
show_uiwhen it has a category and a number. - Show the SQL you ran.
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