Read Microsoft Excel (.xlsx) files robustly with openpyxl (or pandas). Covers multi-sheet workbooks, header rows, empty cells, merged cells, comma-separated list cells, and converting a sheet to a list-of-dicts the rest of your code can consume. Use when a task input or reference document is an .xlsx file rather than JSON/CSV.
How to install xlsx-parsing?
benchflow-ai/skillsbench/xlsx-parsing
$npx -y skills add benchflow-ai/skillsbench --skill xlsx-parsingInstalls into the current project.
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Run `npx skills use "https://github.com/benchflow-ai/skillsbench" --skill "benchflow-ai/skillsbench/xlsx-parsing"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/benchflow-ai/skillsbench" that are relevant to the current task. Run `npx skills add "https://github.com/benchflow-ai/skillsbench"` and select the relevant skills, then follow their instructions.
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