Create, style, and validate Excel workbooks with Python.
npx skills add https://github.com/dnnyngyen/kimi-agent-internals --skill xlsx-dnnyngyen
Please help me install this Agent Skill. Skill: xlsx Source: https://github.com/dnnyngyen/kimi-agent-internals/tree/main/source-code/skills/xlsx Command: npx skills add https://github.com/dnnyngyen/kimi-agent-internals --skill xlsx-dnnyngyen
This Skill automates the creation, styling, and validation of Excel workbooks (XLSX/XLSM) using Python (openpyxl & pandas), enabling deterministic outputs, built-in formula deployment, currency formatting, and charts.
Start by creating a minimal workbook with a Cover page and a Data sheet, then run the validation workflow:
High-intent search queries and answers about installing and using this skill.
You can create Excel workbooks with formulas, custom formats, and charts by processing structured data through Python using openpyxl and pandas. This approach generates deterministic XLSX files with built-in formulas, currency formatting, and visual charts.
Excel validation works by integrating with KimiXlsx tools to recheck formulas, detect reference errors, inspect sheet structures, and validate the final OpenXML file. This deterministic validation flow ensures reproducible artifacts and governed data outputs.
Yes, you can generate and style PivotTables and charts in Excel using openpyxl and pandas via a dedicated pivot command. This ensures accurate data summarization and formatted reporting directly within the XLSX workbook.
The best way to include external data citations in an Excel workbook is to add per-row citations or create a dedicated Sources sheet. This ensures compliance with sourcing requirements when data is fetched externally.
Your Excel file output needs deterministic validation to recheck formulas, detect reference errors, and inspect sheet structures. Running validation after generation ensures the final OpenXML file is structurally sound and reproducible.
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