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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.

insight-narrative-integrity

Checks that a finding survives its own arithmetic before it becomes a sentence, using weighted averages instead of averages of averages, catching comparisons that reverse when groups are pooled, keeping unlabelled buckets out of rankings, and requiring a stated base behind every percentage. Use when writing takeaways or a summary, when naming the top or best performing segment, channel or period, when reporting growth or a decline as a percentage, or when saying that something drove or caused a change.

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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