Process and transform spreadsheet data across .xlsx, .xlsm, .csv, and .tsv formats.
npx skills add https://github.com/Qiue-G/Claw-X --skill xlsx-qiue-g
Please help me install this Agent Skill. Skill: xlsx Source: https://github.com/Qiue-G/Claw-X/tree/main/.openclaw/skills/xlsx Command: npx skills add https://github.com/Qiue-G/Claw-X --skill xlsx-qiue-g
This skill reduces the friction of working with spreadsheet data by providing a consistent, automateable workflow for opening, reading, editing, and validating inputs, and producing well-formed outputs across common spreadsheet formats.
Provide a plain-language instruction requesting a ready-to-use, formatted spreadsheet from a dataset or template.
High-intent search queries and answers about installing and using this skill.
To clean and export spreadsheet data into a formatted Excel file, this skill reads, validates, and shapes inputs from .xlsx, .xlsm, .csv, and .tsv formats, then exports a polished deliverable with cell-defined formulas for automatic recalculation.
Yes, you can write Excel formulas directly into worksheet cells. The skill places formulas in cells rather than computing them in Python, ensuring automatic recalculation and reproducibility across your spreadsheet outputs.
Yes, this skill works with .csv and .tsv files as well as .xlsx and .xlsm formats. It opens, reads, edits, and fixes these spreadsheet inputs using pandas and openpyxl to produce well-formed, formula-ready structures.
The best way to automate data cleaning and formatting for Excel reporting is using this skill's consistent workflow, which transforms raw inputs, validates data, and exports consolidated, polished spreadsheets ready for analysis and collaboration.
Yes, you need pandas and openpyxl installed to process spreadsheet files. These Python libraries are required dependencies for the skill to manipulate, validate, and export spreadsheets across the supported formats.
Putting formulas in worksheet cells instead of calculating values in Python preserves native spreadsheet functionality, ensuring automatic recalculation, reproducibility, and transparent reporting without relying on hardcoded outputs.
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