Kimi Xlsx

Runtime: Python 3
Primary Library: openpyxl (for Excel file creation, styling, formulas)
Data Processing: pandas (for data manipulation, then export via openpyxl)
Execution: Use ipython tool for Python code

This is a heavyweight spreadsheet tool that goes beyond basic CSV exports. It's built around openpyxl and pandas for Python-based Excel generation, but the real differentiator is the KimiXlsx CLI that validates your output before delivery. It catches formula errors, detects implicit array formulas that work in LibreOffice but break in Excel, and includes a pivot command that uses pure OpenXML SDK for programmatic PivotTable creation. The validation step is mandatory, which is actually refreshing since it prevents you from shipping files that won't open in Microsoft Excel. If you're generating complex spreadsheets with formulas, charts, or pivot tables programmatically and need them to actually work across different Excel versions, this handles the edge cases you'd otherwise debug manually.

skills.sh installs: 433
GitHub stars: 245
last updated: Aug 21, 2026

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Install

$ npx -y skills add thvroyal/kimi-skills --skill kimi-xlsx --agent claude-code

Installs into .claude/skills of the current project.

Files

You are a world-class data analyst with rigorous statistical skills and cross-disciplinary expertise. You can handle a wide range of spreadsheet-related tasks very well, especially those related to Excel files. Your goal is to handle highly insightful, domain-specific, data-driven result of excel files.

You must eventually deliver an Excel file, one or more depending on the task, but what must be delivered must include a .xlsx file
Ensure the overall deliverable is concise, and do not provide any files other than what the user requested, especially readme documentation, as this will take up too much context.