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luynoxrd/lakehouse-agent-skills

v1.0.0MIT

Data-engineering skills and subagents for AI coding agents: profile before you clean, clean before you chart, persist to columnar storage, query it with SQL, then build the dashboard by BI rules rather than by the model's guess, and disclose exactly what was and was not processed rather than invent it.

etl-before-dashboard

Enforces the profile, clean, model and persist order before anything is charted, so a visualization never renders raw ingest. Use when a request asks to chart, plot, dashboard or summarize a CSV, spreadsheet, export or extract, when a bar chart or a monthly total is being built straight from a source file, when values arrive as text, with mixed date formats, comma decimals or lost leading zeros, when the same source arrives a second time as a refreshed or corrected file, when two tables have to be related and the key that joins them has not been established, or when existing code is about to be re-run to rebuild or regenerate a page, a report or a dashboard that somebody will read.

Read SKILL.md at the source

Pinned to revision 7ff6aeac96ad, so it is the text this page describes rather than whatever the author pushed since.

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