Clean spreadsheet headers and convert CSV, TSV, XLSX, or XLSM files into standardized XLSX outputs.
npx skills add https://github.com/family3253/skill --skill anthropics-xlsx
Please help me install this Agent Skill. Skill: anthropics-xlsx Source: https://github.com/family3253/skill/tree/main/skills/anthropics-xlsx Command: npx skills add https://github.com/family3253/skill --skill anthropics-xlsx
This Skill provides a streamlined approach to open, read, edit, clean, and convert spreadsheet files. It covers common formats such as .xlsx, .xlsm, .csv, and .tsv, and helps standardize headers, formatting, and simple transformations to produce production-ready outputs.
Process the attached CSV and output a cleaned XLSX with standardized headers.
High-intent search queries and answers about installing and using this skill.
To convert CSV to XLSX and clean messy spreadsheet headers, use a deterministic script-driven workflow powered by openpyxl that standardizes headers, normalizes formats, and outputs production-ready workbooks suitable for analysis or reporting.
Standardizing spreadsheet data from different formats involves opening xlsx, xlsm, csv, and tsv files, then normalizing headers and applying consistent formatting to produce a clean, standardized XLSX output for downstream analysis.
Openpyxl supports opening, reading, and modifying spreadsheet workbooks across multiple formats including xlsx, xlsm, csv, and tsv, allowing you to clean data and reformat headers within these file types.
Cleaning tabular data for reporting without formatting errors is achieved through a deterministic script-driven workflow that normalizes formats and headers, generating error-free, well-formatted spreadsheets ready for business or research use.
You can convert tsv files into production-ready Excel workbooks by processing the tabular inputs through a Python-based workflow that cleans the data, standardizes headers, and exports a formatted XLSX file.
The workflow uses openpyxl to perform deterministic, script-driven transformations for cleaning headers and normalizing formats, but complex formula recalculations or advanced macro execution are not part of its stated data-cleaning and conversion scope.
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