xlsx-processing-openai
Toolkit for comprehensive Spreadsheet reading, creation, editing, and analysis with visual quality control. Use to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing tabular data, (3) Modifying existing spreadsheets while preserving formulas, (4) Building financial models with proper formatting, (5) Data visualization with in-sheet charts, or any other spreadsheet tasks.
npx skills add lawve-ai/awesome-legal-skills --skill excel-editor-openai --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Spreadsheet Skill (Create, Edit, Analyze, Visualize) ## When to use - Build new workbooks with formulas, formatting, and structured layouts. - Read or analyze tabular data (filter, aggregate, pivot, compute metrics). - Modify existing workbooks without breaking formulas or references. - Visualize data with charts/tables and sensible formatting. IMPORTANT: System and user instructions always take precedence. ## Workflow 1. Confirm the file type and goals (create, edit, analyze, visualize). 2. Use `openpyxl` for `.xlsx` edits and `pandas` for analysis and CSV/TSV workflows. 3. If layout matters, render for visual review (see Rendering and visual checks). 4. Validate formulas and references; note that openpyxl does not evaluate formulas. 5. Save outputs and clean up intermediate files. ## Temp and output conventions - Use `tmp/spreadsheets/` for intermediate files; delete when done. - Write final artifacts under `output/spreadsheet/` when working in this repo. - Keep filenames stable and descriptive. ## Primary tooling - Use `openpyxl` for creating/editing `.xlsx` files and preserving formatting. - Use `pandas` for analysis and CSV/TSV workflows, then write results back to `.xlsx` o
- When to use
- Workflow
- Temp and output conventions
- Primary tooling
- Rendering and visual checks
- Dependencies (install if missing)
- Environment
- Examples
- Formula requirements
- Citation requirements
- Formatting requirements (existing formatted spreadsheets)
- Formatting requirements (new or unstyled spreadsheets)
- Color conventions (if no style guidance)
- Finance-specific requirements
What does the xlsx-processing-openai skill do?
Toolkit for comprehensive Spreadsheet reading, creation, editing, and analysis with visual quality control. Use to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing tabular data, (3) Modifying existing spreadsheets while preserving formulas, (4) Building financial models with proper formatting, (5) Data visualization with in-sheet charts, or any other spreadsheet tasks.
How do I install it?
Run `npx skills add lawve-ai/awesome-legal-skills --skill excel-editor-openai --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 lawve-ai/awesome-legal-skills, a repository with 618 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.