Agent skill · Data & Analytics

xlsx

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

ComposioHQgithub.com/ComposioHQGitHub ↗
claude-codecodexcursorships scripts
Install
npx skills add ComposioHQ/awesome-claude-skills --skill xlsx --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 10 KB
Bundled scripts: yes
Path: document-skills/xlsx/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 71,763 · +585 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Requirements for Outputs ## All Excel files ### Zero Formula Errors - Every Excel model MUST be delivered with ZERO formula errors (#REF!, #DIV/0!, #VALUE!, #N/A, #NAME?) ### Preserve Existing Templates (when updating templates) - Study and EXACTLY match existing format, style, and conventions when modifying files - Never impose standardized formatting on files with established patterns - Existing template conventions ALWAYS override these guidelines ## Financial models ### Color Coding Standards Unless otherwise stated by the user or existing template #### Industry-Standard Color Conventions - **Blue text (RGB: 0,0,255)**: Hardcoded inputs, and numbers users will change for scenarios - **Black text (RGB: 0,0,0)**: ALL formulas and calculations - **Green text (RGB: 0,128,0)**: Links pulling from other worksheets within same workbook - **Red text (RGB: 255,0,0)**: External links to other files - **Yellow background (RGB: 255,255,0)**: Key assumptions needing attention or cells that need to be updated ### Number Formatting Standards #### Required Format Rules - **Years**: Format as text strings (e.g., "2024" not "2,024") - **Currency**: Use $#,##0 format; ALWAYS specify units in he

What's inside
Steps it walks through
  1. All Excel files
  2. Zero Formula Errors
  3. Preserve Existing Templates (when updating templates)
  4. Financial models
  5. Color Coding Standards
  6. Number Formatting Standards
  7. Formula Construction Rules
  8. Overview
  9. Important Requirements
  10. Reading and analyzing data
  11. Data analysis with pandas
  12. Excel File Workflows
  13. CRITICAL: Use Formulas, Not Hardcoded Values
  14. ❌ WRONG - Hardcoding Calculated Values
Ships with 2 files
  • LICENSE.txt
  • recalc.py
Commands it runs
python recalc.py output.xlsx
python recalc.py <excel_file> [timeout_seconds]
python recalc.py output.xlsx 30
More from awesome-claude-skills
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About this skill
What does the xlsx skill do?

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

How do I install it?

Run `npx skills add ComposioHQ/awesome-claude-skills --skill xlsx --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ComposioHQ/awesome-claude-skills, a repository with 71,763 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going