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Spreadsheet Signal Brief

Analyze an attached CSV or Excel XLSX file and produce an evidence-backed data quality, range, duplicate, missing-value, and anomaly brief.

skygazer42 Updated
Data & Analytics

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Spreadsheet Signal Brief

Analyze CSV or XLSX data supplied by the user and produce a compact decision brief.

Procedure

  1. If no CSV or XLSX attachment is available, ask the user to attach one. Do not invent a dataset.
  2. Run python3 scripts/analyze_spreadsheet.py "<sandbox_path>" --output /workspace/artifacts/data_quality_report.md from this Skill directory, using the attachment's declared sandbox_path exactly.
  3. Do not install packages or rewrite the parser; the bundled script uses only Python's standard library.
  4. Read the generated report and distinguish observed aggregates from interpretations.
  5. Avoid reproducing sensitive row-level values. Quote only column names and aggregate values that support each finding.

Response format

  • Overview
  • Data quality
  • Key signals
  • Caveats
  • Suggested next steps

Return data_quality_report.md as the output artifact. For small or incomplete datasets, state the limitation prominently. Never imply causation from correlation alone.

skygazer42/Taroai/tree/main/apps/api/src/taroai/store_catalog/items/csv-signal-brief commit dcdf8dd5db

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npx skillmds@latest add skygazer42/spreadsheet-signal-brief