office

jezweb/claude-skills · updated Apr 8, 2026

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$npx skills add https://github.com/jezweb/claude-skills --skill office
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summary

Generate Microsoft Office documents and PDFs with pure JavaScript, no native dependencies.

  • Create DOCX, XLSX, PDF, and PPTX files with TypeScript; all libraries run in Node.js, browsers, and Cloudflare Workers
  • DOCX supports paragraphs, tables, images, and text formatting; XLSX handles formulas, multiple sheets, and JSON-to-sheet conversion
  • PDF includes text, shapes, images, form filling, and page merging; PPTX covers slides, charts, tables, and master layouts
  • Common pitfalls: reme
skill.md

Office Document Generation

Status: Production Ready Last Updated: 2026-01-12 Dependencies: None (pure JavaScript libraries) Latest Versions: [email protected], [email protected], [email protected], [email protected]


Overview

Generate Microsoft Office documents and PDFs programmatically with TypeScript. All libraries are pure JavaScript with zero native dependencies, enabling universal runtime support:

Format Library Workers Browser Node.js
DOCX docx
XLSX xlsx (SheetJS)
PDF pdf-lib
PPTX pptxgenjs ⚠️*

*PPTX in Workers: Works for local images/data. Remote image fetching needs workaround (uses https module).


Quick Start

Installation

# Install all four (or pick what you need)
npm install docx xlsx pdf-lib pptxgenjs

Create a Word Document (30 seconds)

import { Document, Packer, Paragraph, TextRun } from 'docx';
import { writeFileSync } from 'fs';

const doc = new Document({
  sections: [{
    children: [
      new Paragraph({
        children: [
          new TextRun({ text: 'Hello World', bold: true, size: 48 }),
        ],
      }),
    ],
  }],
});

// Node.js: Save to file
const buffer = await Packer.toBuffer(doc);
writeFileSync('hello.docx', buffer);

// Browser/Workers: Get as blob
const blob = await Packer.toBlob(doc);

Create an Excel Spreadsheet (30 seconds)

import * as XLSX from 'xlsx';

// Create workbook with data
const data = [
  ['Name', 'Amount', 'Date'],
  ['Invoice #1', 1500, '2026-01-12'],
  ['Invoice #2', 2300, '2026-01-13'],
];

const worksheet = XLSX.utils.aoa_to_sheet(data);
const workbook = XLSX.utils.book_new();
XLSX.utils.book_append_sheet(workbook, worksheet, 'Invoices');

// Node.js: Save to file
XLSX.writeFile(workbook, 'invoices.xlsx');

// Browser/Workers: Get as buffer
const buffer = XLSX.write(workbook, { type: 'buffer', bookType: 'xlsx' });

Create a PDF (30 seconds)

import { PDFDocument, StandardFonts, rgb } from 'pdf-lib';

const pdfDoc = await PDFDocument.create();
const page = pdfDoc.addPage([612, 792]); // Letter size
const font = await pdfDoc.embedFont(StandardFonts.Helvetica);

page.drawText('Hello World', {
  x: 50,
  y: 700,
  size: 24,
  font,
  color: rgb(0, 0, 0),
});

// Get as bytes (works everywhere)
const pdfBytes = await pdfDoc.save();

// Node.js: Save to file
writeFileSync('hello.pdf', pdfBytes);

Create a PowerPoint (30 seconds)

import pptxgen from 'pptxgenjs';

const pptx = new pptxgen();
pptx.author = 'Your Name';
pptx.title = 'Sample Presentation';

// Add a slide
const slide = pptx.addSlide();
slide.addText('Hello World', {
  x: 1, y: 1, w: 8, h: 1.5,
  fontSize: 36, bold: true, color: '363636',
});

// Node.js: Save to file
await pptx.writeFile({ fileName: 'hello.pptx' });

// Browser: Trigger download
await pptx.writeFile({ fileName: 'hello.pptx' });

DOCX: Word Documents

Key Concepts

The docx package uses a builder pattern:

  • Document - The root container
  • Section - Contains pages (most docs have 1 section)
  • Paragraph - A line/block of text
  • TextRun - Formatted text within a paragraph
  • Table - Grid of TableRow → TableCell → Paragraph

Document with Headings and Paragraphs

import { Document, Packer, Paragraph, TextRun, HeadingLevel } from 'docx';

const doc = new Document({
  sections: [{
    children: [
      new Paragraph({
        text: 'Monthly Report',
        heading: HeadingLevel.HEADING_1,
      }),
      new Paragraph({
        children: [
          new TextRun('This is a '),
          new TextRun({ text: 'bold', bold: true }),
          new TextRun(' and '),
          new TextRun({ text: 'italic', italics: true }),
          new TextRun(' text example.'),
        ],
      }),
    ]
how to use office

How to use office on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add office
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/jezweb/claude-skills --skill office

The skills CLI fetches office from GitHub repository jezweb/claude-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/office

Reload or restart Cursor to activate office. Access the skill through slash commands (e.g., /office) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.733 reviews
  • Pratham Ware· Dec 28, 2024

    office reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ren Okafor· Dec 20, 2024

    I recommend office for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Xiao Nasser· Dec 8, 2024

    office fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Dhruvi Jain· Dec 4, 2024

    office fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Zara Singh· Nov 27, 2024

    office is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Kiara Liu· Nov 27, 2024

    Useful defaults in office — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Oshnikdeep· Nov 23, 2024

    office is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Kaira Park· Nov 11, 2024

    Solid pick for teams standardizing on skills: office is focused, and the summary matches what you get after install.

  • Zara Rahman· Oct 18, 2024

    Keeps context tight: office is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Kaira Li· Oct 18, 2024

    I recommend office for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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