exceljs

Generate and parse Excel spreadsheets with ExcelJS — create workbooks with multiple sheets, styled cells, formulas, charts, images, and conditional formatting. Use when tasks involve exporting application data to .xlsx, building financial reports, parsing uploaded spreadsheets, or creating data import/export pipelines.

26 stars

Best use case

exceljs is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Generate and parse Excel spreadsheets with ExcelJS — create workbooks with multiple sheets, styled cells, formulas, charts, images, and conditional formatting. Use when tasks involve exporting application data to .xlsx, building financial reports, parsing uploaded spreadsheets, or creating data import/export pipelines.

Teams using exceljs should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/exceljs/SKILL.md --create-dirs "https://raw.githubusercontent.com/TerminalSkills/skills/main/skills/exceljs/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/exceljs/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How exceljs Compares

Feature / AgentexceljsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Generate and parse Excel spreadsheets with ExcelJS — create workbooks with multiple sheets, styled cells, formulas, charts, images, and conditional formatting. Use when tasks involve exporting application data to .xlsx, building financial reports, parsing uploaded spreadsheets, or creating data import/export pipelines.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# ExcelJS

Read and write Excel files in Node.js. Full support for styles, formulas, images, and streaming.

## Setup

```bash
# Install ExcelJS for spreadsheet generation and parsing.
npm install exceljs
```

## Creating a Workbook

```typescript
// src/excel/create.ts — Create an Excel workbook with a styled header row and data.
import ExcelJS from "exceljs";

const workbook = new ExcelJS.Workbook();
workbook.creator = "Report System";
workbook.created = new Date();

const sheet = workbook.addWorksheet("Sales Data", {
  properties: { tabColor: { argb: "FF3498DB" } },
});

// Define columns
sheet.columns = [
  { header: "Product", key: "product", width: 25 },
  { header: "Revenue", key: "revenue", width: 15 },
  { header: "Units Sold", key: "units", width: 12 },
  { header: "Growth", key: "growth", width: 12 },
];

// Style header row
sheet.getRow(1).font = { bold: true, color: { argb: "FFFFFFFF" } };
sheet.getRow(1).fill = {
  type: "pattern",
  pattern: "solid",
  fgColor: { argb: "FF3498DB" },
};

// Add data
const data = [
  { product: "Widget Pro", revenue: 45000, units: 1200, growth: 0.12 },
  { product: "Gadget Plus", revenue: 32000, units: 800, growth: 0.08 },
  { product: "Tool Basic", revenue: 18000, units: 2400, growth: -0.03 },
];

data.forEach((row) => sheet.addRow(row));

// Format numbers
sheet.getColumn("revenue").numFmt = "$#,##0";
sheet.getColumn("growth").numFmt = "0.0%";

await workbook.xlsx.writeFile("sales-report.xlsx");
```

## Formulas

```typescript
// src/excel/formulas.ts — Add formulas for totals, averages, and derived values.
import ExcelJS from "exceljs";

const workbook = new ExcelJS.Workbook();
const sheet = workbook.addWorksheet("Financials");

sheet.columns = [
  { header: "Item", key: "item", width: 20 },
  { header: "Q1", key: "q1", width: 12 },
  { header: "Q2", key: "q2", width: 12 },
  { header: "Total", key: "total", width: 12 },
];

sheet.addRow({ item: "Revenue", q1: 100000, q2: 120000 });
sheet.addRow({ item: "Expenses", q1: 80000, q2: 85000 });
sheet.addRow({ item: "Profit" });

// Formula references
sheet.getCell("D2").value = { formula: "B2+C2" } as any;
sheet.getCell("D3").value = { formula: "B3+C3" } as any;
sheet.getCell("B4").value = { formula: "B2-B3" } as any;
sheet.getCell("C4").value = { formula: "C2-C3" } as any;
sheet.getCell("D4").value = { formula: "D2-D3" } as any;

await workbook.xlsx.writeFile("financials.xlsx");
```

## Conditional Formatting

```typescript
// src/excel/conditional.ts — Highlight cells based on value thresholds.
import ExcelJS from "exceljs";

const workbook = new ExcelJS.Workbook();
const sheet = workbook.addWorksheet("KPIs");

sheet.columns = [
  { header: "Metric", key: "metric", width: 20 },
  { header: "Value", key: "value", width: 15 },
];

sheet.addRows([
  { metric: "Uptime", value: 99.9 },
  { metric: "Error Rate", value: 2.3 },
  { metric: "Response Time (ms)", value: 450 },
]);

// Green for values above target, red for below
sheet.addConditionalFormatting({
  ref: "B2:B4",
  rules: [
    {
      type: "cellIs",
      operator: "greaterThan",
      formulae: [95],
      style: { fill: { type: "pattern", pattern: "solid", bgColor: { argb: "FF27AE60" } } },
      priority: 1,
    },
  ],
});

await workbook.xlsx.writeFile("kpis.xlsx");
```

## Reading Excel Files

```typescript
// src/excel/read.ts — Parse an uploaded Excel file and extract data as objects.
import ExcelJS from "exceljs";

export async function parseExcel(filePath: string) {
  const workbook = new ExcelJS.Workbook();
  await workbook.xlsx.readFile(filePath);

  const sheet = workbook.getWorksheet(1)!;
  const headers: string[] = [];
  const rows: Record<string, any>[] = [];

  sheet.eachRow((row, rowNumber) => {
    if (rowNumber === 1) {
      row.eachCell((cell) => headers.push(String(cell.value)));
    } else {
      const obj: Record<string, any> = {};
      row.eachCell((cell, colNumber) => {
        obj[headers[colNumber - 1]] = cell.value;
      });
      rows.push(obj);
    }
  });

  return rows;
}
```

## Streaming Large Files

```typescript
// src/excel/stream.ts — Write large datasets without holding everything in memory.
// Uses ExcelJS streaming writer for millions of rows.
import ExcelJS from "exceljs";
import fs from "fs";

export async function streamLargeExport(data: AsyncIterable<any[]>, outputPath: string) {
  const workbook = new ExcelJS.stream.xlsx.WorkbookWriter({
    stream: fs.createWriteStream(outputPath),
    useStyles: true,
  });

  const sheet = workbook.addWorksheet("Data");
  sheet.columns = [
    { header: "ID", key: "id", width: 10 },
    { header: "Name", key: "name", width: 30 },
    { header: "Value", key: "value", width: 15 },
  ];

  for await (const batch of data) {
    for (const row of batch) {
      sheet.addRow(row).commit();
    }
  }

  sheet.commit();
  await workbook.commit();
}
```

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