Create and edit Excel spreadsheets with formula-based calculations and validation.
npx skills add https://github.com/Pyl-Tech/stream-coding --skill xlsx-pyl-tech
Please help me install this Agent Skill. Skill: xlsx Source: https://github.com/Pyl-Tech/stream-coding/tree/main/.agents/skills/xlsx Command: npx skills add https://github.com/Pyl-Tech/stream-coding --skill xlsx-pyl-tech
This Skill prevents brittle spreadsheet outputs by enforcing a documentation-first, formula-safe workflow for creating, editing, and validating Excel deliverables.
Use the xlsx skill to update the spreadsheet 'model.xlsx' using formulas (not hardcoded calculations), recalculate all formulas, and return the corrected file with zero Excel formula errors.
High-intent search queries and answers about installing and using this skill.
To generate Excel spreadsheets with zero formula errors, create formulas instead of hardcoded values and recalculate them using LibreOffice. This workflow scans for common Excel error tokens like #REF! and #DIV/0! before delivering the final file.
To clean tabular data and export it to an xlsx file, use pandas to restructure and analyze the messy input data. Then, apply openpyxl to write the cleaned tabular data into a formatted spreadsheet deliverable.
While openpyxl handles data and structure changes for spreadsheet files, it does not perform automated formula recalculation itself. LibreOffice is required to recalculate formulas and detect common Excel errors before output.
To apply financial modeling color coding for inputs and formulas, use spreadsheet formatting guardrails during creation. This enforces consistent professional fonts and distinguishes inputs, formulas, and links visually within the model.
Your spreadsheet model output contains #NAME? errors because formulas were not properly recalculated before delivery. Using LibreOffice-based recalculation verifies zero detected Excel errors and prevents brittle spreadsheet outputs.
Yes, you can convert CSV and TSV files to formatted spreadsheet models. This process uses pandas for initial data preparation and mandates LibreOffice formula recalculation to ensure the final xlsx output has zero formula errors.
MOODMNKY-LLCCreate, edit, and analyze .xlsx, .xlsm, .csv, and .tsv spreadsheets with pandas and openpyxl.
SoftSystemsStudioCreate, edit, and validate Excel workbooks with formulas using openpyxl.
jc180105Transform raw data into structured business insights and executive-ready reports.
Gull-StackCreate, edit, and analyze Excel spreadsheets with formulas using Python.
