Xlsx

This does exactly what it says: reads Excel and CSV files and spits out the rows as comma-separated text. It uses openpyxl for .xlsx files and Python's built-in csv module for CSVs, so no fancy formatting or formula evaluation, just raw data extraction. Handy when you need Claude to quickly parse spreadsheet contents without manually copying and pasting. The triggers are sensible, firing on file extensions or when you mention spreadsheets in your prompt. It's straightforward utility code from axoviq.com under AGPL-3.0, nothing fancy but gets the job done if you're frequently asking Claude to analyze tabular data.

GitHub stars: 452
last updated: Jun 11, 2026

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Install

$ npx -y skills add axoviq-ai/synthadoc --skill xlsx --agent claude-code

Installs into .claude/skills of the current project.

Files

XLSX Skill

Reads .xlsx files using openpyxl and .csv files using the stdlib csv module, returning all rows as comma-separated text.

Setup

pip install openpyxl

.csv files use only the Python standard library — no additional install required.

Standalone usage

import asyncio
from synthadoc.skills.xlsx.scripts.main import XlsxSkill

skill = XlsxSkill()

async def main():
    result = await skill.extract("/path/to/data.xlsx")
    print(result.text)      # all rows as comma-separated text
    print(result.metadata)  # {"rows": N, "sheets": N}  (xlsx only)

asyncio.run(main())