How do I install the Spreadsheet skill?

Run npx skillmds@latest add kiku-jw/spreadsheet in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Spreadsheet safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Spreadsheet?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Spreadsheet free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Spreadsheet?

kiku-jw (@kiku-jw) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Spreadsheet by kiku-jw — Agent Skill

Name: Spreadsheet
Author: kiku-jw

Spreadsheet

Create, edit, analyze, or format spreadsheets (`.xlsx`, `.csv`, `.tsv`) with `openpyxl` and `pandas`, especially when formulas, references, and formatting must survive the change. Use when spreadsheet integrity matters more than ad hoc CSV hacking.

kiku-jw 8207de0 11 files · 26.3 KB Updated Sep 17, 2026

File contents

Spreadsheet Skill

Metadata

Trigger when: the task involves real spreadsheet creation, editing, analysis, formatting, or visual validation.
Do not use when: a trivial one-line CSV inspection is enough and workbook integrity does not matter.

Skill Purpose

Stay as the stable entrypoint for spreadsheet work, then route into the narrowest correct lane: workbook-preserving .xlsx editing or tabular data analysis.

Instructions

Classify the spreadsheet job first. If the task is .xlsx creation/editing with formulas or formatting preservation, prefer $spreadsheet-xlsx-edit. If the task is CSV/TSV or spreadsheet-backed analysis, aggregation, or reshaping, prefer $spreadsheet-tabular-analysis. Read the runnable examples under ~/.codex/skills/spreadsheet/references/examples/openpyxl only when you need a concrete pattern.
If a child lane is unavailable in the current run, continue here with the same split: use openpyxl for .xlsx structure-preserving work and pandas for tabular analysis workflows. Keep filenames stable and outputs under a sensible path such as output/spreadsheet/.
Validate the result. Check formulas, references, number/date formats, source citations when relevant, and render for visual review when layout matters and soffice plus pdftoppm are available.

Non-Negotiable Acceptance Criteria

Existing workbook formatting is preserved unless the user asked for redesign.
Derived values stay as formulas when formulas are the right source of truth.
Formatting and citation rules are explicit when the spreadsheet is financial or source-sensitive.
If rendering dependencies are missing, the skill says so instead of pretending the layout was verified.

Output

The final spreadsheet path or paths.
Any render artifact path used for visual validation.
A short note on formula handling, dependency installs, or validation caveats.
Next skill options (only if needed): $spreadsheet-xlsx-edit — create or edit .xlsx files while preserving formulas and formatting; $spreadsheet-tabular-analysis — analyze and reshape spreadsheet/CSV/TSV data with stable outputs.

---name: spreadsheetdescription: Create, edit, analyze, or format spreadsheets (`.xlsx`, `.csv`, `.tsv`) with `openpyxl` and `pandas`, especially when formulas, references, and formatting must survive the change. Use when spreadsheet integrity matters more than ad hoc CSV hacking.---# Spreadsheet Skill## Metadata- Trigger when: the task involves real spreadsheet creation, editing, analysis, formatting, or visual validation.- Do not use when: a trivial one-line CSV inspection is enough and workbook integrity does not matter.## Skill PurposeStay as the stable entrypoint for spreadsheet work, then route into the narrowest correct lane: workbook-preserving `.xlsx` editing or tabular data analysis.## Instructions1. Classify the spreadsheet job first. If the task is `.xlsx` creation/editing with formulas or formatting preservation, prefer `$spreadsheet-xlsx-edit`. If the task is CSV/TSV or spreadsheet-backed analysis, aggregation, or reshaping, prefer `$spreadsheet-tabular-analysis`. Read the runnable examples under `~/.codex/skills/spreadsheet/references/examples/openpyxl` only when you need a concrete pattern.2. If a child lane is unavailable in the current run, continue here with the same split: use `openpyxl` for `.xlsx` structure-preserving work and `pandas` for tabular analysis workflows. Keep filenames stable and outputs under a sensible path such as `output/spreadsheet/`.3. Validate the result. Check formulas, references, number/date formats, source citations when relevant, and render for visual review when layout matters and `soffice` plus `pdftoppm` are available.## Non-Negotiable Acceptance Criteria- Existing workbook formatting is preserved unless the user asked for redesign.- Derived values stay as formulas when formulas are the right source of truth.- Formatting and citation rules are explicit when the spreadsheet is financial or source-sensitive.- If rendering dependencies are missing, the skill says so instead of pretending the layout was verified.## Output- The final spreadsheet path or paths.- Any render artifact path used for visual validation.- A short note on formula handling, dependency installs, or validation caveats.- `Next skill options` (only if needed): `$spreadsheet-xlsx-edit` — create or edit `.xlsx` files while preserving formulas and formatting; `$spreadsheet-tabular-analysis` — analyze and reshape spreadsheet/CSV/TSV data with stable outputs.

Frequently asked questions