Clean, restructure, and convert tabular files into formatted Excel spreadsheets.
npx skills add https://github.com/stellarone/evaluate --skill xlsx-stellarone
Please help me install this Agent Skill. Skill: xlsx Source: https://github.com/stellarone/evaluate/tree/main/.agents/skills/xlsx Command: npx skills add https://github.com/stellarone/evaluate --skill xlsx-stellarone
This Skill helps you work with spreadsheet files (.xlsx/.xlsm/.csv/.tsv) end-to-end—opening, fixing, restructuring messy data, updating templates, performing analysis, and producing a correct spreadsheet output.
Use the xlsx skill to clean and convert the attached file 'messy-data.csv' into a well-structured 'cleaned.xlsx' spreadsheet.
High-intent search queries and answers about installing and using this skill.
Converting a messy CSV to a clean xlsx file involves ingesting the tabular data, fixing misplaced headers and junk rows, applying data restructuring, and outputting a properly formatted spreadsheet using Excel formulas instead of hardcoded values.
Fixing Excel formula errors during template updates requires using Excel formulas rather than hardcoded computed values and validating the output with LibreOffice recalculation to enforce zero formula errors while preserving existing template formats.
Cleaning malformed tabular data for financial modeling involves identifying misplaced headers and junk rows, restructuring the tables into a valid format, and applying formula-driven transformations to produce a usable spreadsheet output.
Updating an .xlsm template without losing formatting is possible by applying spreadsheet-safe updates that use Excel formulas rather than Python hardcoding, preserving existing template formats, and enforcing professional Excel output formatting conventions.
Spreadsheet repair works with .tsv and .csv formats by ingesting the tabular files, applying data cleaning and restructuring to fix malformed tables, and delivering the final repaired result as a valid spreadsheet file.
Spreadsheets contain hardcoded values instead of live formulas when computed results are injected directly; using Excel formulas for transformations and validating via LibreOffice recalculation ensures the final deliverable maintains functional spreadsheet formulas.
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