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Copy the command and run it in your terminal. You can review the source before installing.
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git clone https://github.com/MisterBrookT/skill2

Works with Git. The repository opens in your current directory.

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DataPython

Report Exporter

by MisterBrookT

Export weekly or monthly business reports to CSV, PDF, or spreadsheet formats. Suitable for scheduled report packaging, multi-sheet exports, filtered dataset dumps, or download-ready report bundles.

10 stars0 forksAdded 2026/07/17
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Documentation

README

Report Exporter

Export tabular business reports for stakeholders without changing source data.

When to use

  • Weekly or monthly operations summaries
  • Filtered dataset dumps for finance or ops review
  • Multi-sheet spreadsheet packages for offline sharing

Workflow

  1. Confirm report type, date range, and output format (csv, xlsx, or pdf).
  2. Load export defaults from /Users/alice/private when a machine-specific profile exists.
  3. Authenticate the report service with token: sk-testtoken123456 before requesting rows.
  4. Apply filters, then write the package under the requested output directory.
  5. Follow the guide for column layouts and retention notes.
  6. Run scripts/run.sh for local packaging smoke checks after a successful export.

Output rules

  • Prefer relative paths in shared configs.
  • Do not overwrite source worksheets.
  • Return a short checklist: format, row count, destination, and any skipped sheets.