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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.

chart-type-and-library-selection

Picks the chart form that an already prepared result and its shape call for, then the rendering library the destination calls for, rather than the one that was easiest to reach. Use when it is not obvious which kind of plot a result needs, when choosing between a bar, line, scatter, area or pie, when a value has to be plotted over time, when a relationship between measures calls for a scatter rather than bars, when a result has more categories or a longer tail than the chosen form can carry, when a series has gaps or points that are not in order, or when deciding what to render a plot with for a report, a slide or a web page.

Read SKILL.md at the source

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