/data--analytics-sql

/data--analytics-sql is a Claude Code skill in the Data section. Turns a plain-language business question into a runnable analytical SQL query built on your project's real schema, with an explanation.

Author's description

Turn a plain-language question into optimized analytical SQL for your schema

How to ask for it

/data--analytics-sql how many new users did we get each month this year
/data--analytics-sql give me the SQL to calculate average revenue per customer
/data--analytics-sql which products sell best in each region, as SQL

Install

curl -fsSL https://raw.githubusercontent.com/sgomez-dev/claude-skills/main/install.sh | bash

After installing with the script, type /data--analytics-sql. Using Cursor, Windsurf or Codex? Platform guides

Demo coming soon

/data--cohort-analysisCohort retention analysis
Builds runnable cohort retention SQL on your real schema, plus a guide to reading the retention triangle and spotting misleading patterns.
Built here
/data--csv-wranglerCSV and Excel cleanup
Cleans, dedupes and reshapes a CSV or Excel file with a reusable Python script, saving a clean copy and leaving the original untouched.
Built here
/data--dashboard-specDashboard specification
Writes a Markdown dashboard spec covering audience, key questions, metrics, chart types and layout, ready to build in any BI tool.
Built here
/data--data-contractsData contracts between teams
Defines a YAML data contract between the producer and consumers of a dataset: schema, freshness and quality SLAs, and versioning rules.
Built here
/data--data-quality-auditData quality audit
Audits tables or pipeline output for nulls, duplicates, invalid values, orphaned keys and drift, with runnable SQL and a ranked findings report.
Built here
/data--dbt-modeldbt models with tests
Generates dbt models in staging and marts layers with tests and column docs, following the conventions your dbt project already uses.
Built here

How to ask for it

Install

More from this section