/web-reader

Turns a plain-language business question into a runnable analytical SQL query built on your project's real schema, with an explanation.

Builds runnable cohort retention SQL on your real schema, plus a guide to reading the retention triangle and spotting misleading patterns.

Cleans, dedupes and reshapes a CSV or Excel file with a reusable Python script, saving a clean copy and leaving the original untouched.

Writes a Markdown dashboard spec covering audience, key questions, metrics, chart types and layout, ready to build in any BI tool.

Defines a YAML data contract between the producer and consumers of a dataset: schema, freshness and quality SLAs, and versioning rules.

Audits tables or pipeline output for nulls, duplicates, invalid values, orphaned keys and drift, with runnable SQL and a ranked findings report.