Read, clean, and rewrite .xlsx, .xlsm, .csv, and .tsv spreadsheet files.
npx skills add https://github.com/duyle10xba1901/train-agent --skill xlsx-duyle10xba1901
Please help me install this Agent Skill. Skill: xlsx Source: https://github.com/duyle10xba1901/train-agent/tree/main/xlsx Command: npx skills add https://github.com/duyle10xba1901/train-agent --skill xlsx-duyle10xba1901
This Skill ensures every spreadsheet-focused request is handled with spreadsheet-native edits so that opening, cleaning, converting, or fixing a workbook still produces a deliverable Excel file without corrupting existing templates.
Ask the xlsx skill to load the provided sales-data.xlsx, clean the tabular rows, and return the refreshed workbook.
High-intent search queries and answers about installing and using this skill.
To clean xlsx files without corruption, the workflow reads the workbook, enforces Excel-native formulas, and rewrites the file while preserving existing styles. It uses LibreOffice recalculation and zero-error validation to guarantee an accurate spreadsheet deliverable.
Excel-native formula validation enforces cell references and prevents hardcoded math, ensuring the workbook remains recalculable. You need it when cleaning or converting spreadsheets to guarantee zero Excel errors in the final deliverable.
Yes, LibreOffice recalculation supports .xlsx, .xlsm, .csv, and .tsv files. The process triggers whenever the primary input or output is a spreadsheet, running recalculation scripts and validating for zero Excel errors before delivery.
Openpyxl handles .xlsm files by reading and rewriting the workbook while preserving existing styles and formatting conventions. The process enforces formula discipline and validates zero Excel errors before handing the recalculated workbook back.
Calculation errors often occur when formulas use hardcoded math instead of Excel-native cell references. Proper data cleaning enforces formula discipline, uses LibreOffice recalculation, and reports zero Excel errors before returning the workbook.
The best way to convert csv files into formatted Excel workbooks is using a spreadsheet-first workflow that reads the csv, cleans tabular rows, enforces Excel-native formulas, and rewrites an .xlsx deliverable with preserved styles and zero validation errors.
zizhenchen47-ossCreate, edit, and convert spreadsheet files while preserving formulas and formatting.
weirdgmeDesign and implement scalable platform engineering patterns for internal developer platforms.
AgentTeam-TaichuAIProcess and validate XLSX workbooks offline using openpyxl.
Wesley1600Executes Python scripts that process CLI input and return JSON-formatted results.
