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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.

using-lakehouse-skills

Routes a data request to the skill that owns it and states the order the stages have to run in. Use when starting work on a dataset and it is not obvious which skill applies, when a request jumps straight to a chart or a conclusion, when work spans more than one stage of the data lifecycle, or when a request names an action rather than a stage and what the work will write has to decide which stages are in play.

Read SKILL.md at the source

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