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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.

honest-data-limits-disclosure

Declares what a data run did not cover before and after the work, including memory ceilings, sampled rows, unread sheets, skipped files and hard format limits. Use when a file may be too large to read whole, when only part of a batch or a workbook was processed, when a row cap or a sample was applied, or when reporting results that came from less data than the request implied.

Read SKILL.md at the source

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