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Create, read, edit, and analyse Excel spreadsheet files (.xlsx, .xlsm, .xltx, .csv, .tsv).
Passed 19 of 21 test cases with the skill, and 14 of 21 without it.
and 5 more in the full report
6 fixed14 passed either way1 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
I need to quickly inspect the text contents and table structures of `q3_audit.xlsx` from the command line without opening Python or inspecting individual cell coordinates. How can I preview this file in the terminal?
| Checked | Without skill | With skill |
|---|---|---|
| The CLI command uses markitdown to read the excel file. | Missed | Passed |
The instructions your model reads when the skill loads.
A .xlsx file is a ZIP archive of XML. Work with it programmatically using openpyxl (formulas + formatting) or pandas (bulk data). Choose the right tool for the job and apply it precisely.
| Task | Tool |
|---|---|
| Create or edit with formulas and formatting | openpyxl |
| Bulk data in/out, pivot analysis | pandas (read_excel, to_excel) |
| Quick read of content | markitdown file.xlsx |
| Reading both formulas AND cached values | Two load_workbook passes — see gotchas |
openpyxl,pandas, andmarkitdownare typically pre-installed. Import directly. Only runpip installif an import fails.
Every spreadsheet delivered must meet these standards:
recalc shows errors. A #DIV/0!, #REF!, or #NAME? in a delivered file is a failure.=SUM(B2:B9), not the Python-computed value. The sheet must recalculate when inputs change.import subprocess
# Quick content read (no cell coordinates — use for overview only)
result = subprocess.run(["markitdown", "file.xlsx"], capture_output=True, text=True)
print(result.stdout)
# Read into pandas (values only, no formulas)
import pandas as pd
test cases passed, vs 14 / 21 without
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