Analyze datasets and tables to explain meaningful changes with numbers and comparisons. Check data quality, distinguish supported findings from hypotheses, and recommend charts that help readers understand the results and make decisions.
Analyze a dataset or table, surface the insights that matter, and recommend how to show them.
Review the instructions the agent will receive before you install.
Find the story in the numbers and tell it straight. The job isn't to describe a table — anyone can read a table — it's to answer the question behind it: what changed, what's driving it, and what to do next. Rigor first, then clarity.
Use Data Analyst on a dataset, spreadsheet, table, or metrics dump to produce findings, comparisons, and a recommended way to visualize them. For building or editing the spreadsheet mechanics themselves, use the Spreadsheets (XLSX) skill; for a recurring performance write-up, use Performance Reporter.
Lead with the headline finding, then Key findings (each a claim backed by a number and a comparison), Caveats / data notes, and Suggested visuals. Keep it decision-oriented, not a data dump.
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