Generate and parse office documents — PDF, DOCX, XLSX, PPTX, CSV. Use when creating reports, exporting tabular data, or processing uploaded office files. NOT for project documentation (use docs).
Scanned 9/11/2026
Install to Claude Code
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---
name: doc-processor
description: "Generate and parse office documents — PDF, DOCX, XLSX, PPTX, CSV. Use when creating reports, exporting tabular data, or processing uploaded office files. NOT for project documentation (use docs)."
metadata:
author: runedev
version: "0.2.0"
layer: L3
model: sonnet
group: utility
tools: "Read, Write, Edit, Bash, Glob, Grep"
---
# doc-processor
## Purpose
Document format utility. Generates and parses office documents (PDF, DOCX, XLSX, PPTX, CSV). Pure utility — no business logic, just format handling. Other skills call doc-processor when they need to produce or consume structured documents.
## Triggers
- Called by `docs` when export to PDF/DOCX is requested
- Called by `marketing` for generating PDF reports, PPTX presentations
- Called by Rune Pro packs for business document generation
- `/rune doc-processor generate <format> <source>` — manual document generation
- `/rune doc-processor parse <file>` — manual document parsing
## Calls (outbound)
None — pure L3 utility. Receives content, produces formatted output.
## Called By (inbound)
- `docs` (L2): export documentation to PDF/DOCX
- `marketing` (L2): generate PDF reports, PPTX pitch decks
- Rune Pro packs: business document generation (invoices, proposals, reports)
- User: `/rune doc-processor` direct invocation
## Format Reference
### Supported Formats
| Format | Generate | Parse | Node.js Library | Python Library |
|--------|----------|-------|-----------------|----------------|
| PDF | Yes | Yes (via the runtime's document/PDF reader) | jsPDF, Puppeteer (HTML→PDF) | reportlab, weasyprint |
| DOCX | Yes | Yes | docx (officegen) | python-docx |
| XLSX | Yes | Yes | ExcelJS | openpyxl |
| PPTX | Yes | Yes | pptxgenjs | python-pptx |
| CSV | Yes | Yes | Built-in (fs + string ops) | Built-in (csv module) |
| HTML | Yes | Yes | Built-in | Built-in |
### Library Selection
Detect project language from context:
- If Node.js project → use Node.js libraries
- If Python project → use Python libraries
- If unclear → default to Node.js (wider ecosystem)
- For HTML→PDF → prefer Puppeteer (best fidelity) or weasyprint (Python)
## Executable Steps
### Generate Mode
#### Step 1 — Determine Format and Template
Identify:
- Target format (PDF, DOCX, XLSX, PPTX, CSV)
- Content source (markdown, data object, template + data)
- Styling requirements (brand colors, fonts, layout)
- Output path
#### Step 2 — Select Generation Strategy
| Source | Target | Strategy |
|--------|--------|----------|
| Markdown → PDF | HTML intermediate | Render MD → HTML → Puppeteer → PDF |
| Markdown → DOCX | Direct conversion | Parse MD → docx library → DOCX |
| Data → XLSX | Direct write | Map data to sheets/cells → ExcelJS |
| Slides → PPTX | Template + data | Build slides from content → pptxgenjs |
| Data → CSV | Direct write | Serialize rows → CSV string → file |
| Any → HTML | Direct render | Template engine → HTML file |
#### Step 3 — Generate Code
Produce the generation script:
**PDF from Markdown:**
```javascript
// Strategy: Markdown → HTML → Puppeteer → PDF
const puppeteer = require('puppeteer');
const { marked } = require('marked');
async function generatePDF(markdownContent, outputPath, options = {}) {
const html = `
<!DOCTYPE html>
<html>
<head><style>${options.css || defaultCSS}</style></head>
<body>${marked(markdownContent)}</body>
</html>
`;
const browser = await puppeteer.launch();
const page = await browser.newPage();
await page.setContent(html, { waitUntil: 'networkidle0' });
await page.pdf({ path: outputPath, format: 'A4', margin: { top: '1in', bottom: '1in', left: '1in', right: '1in' } });
await browser.close();
}
```
**XLSX from Data:**
```javascript
const ExcelJS = require('exceljs');
async function generateXLSX(data, outputPath, options = {}) {
const workbook = new ExcelJS.Workbook();
const sheet = workbook.addWorksheet(options.sheetName || 'Sheet1');
if (data.length > 0) {
sheet.columns = Object.keys(data[0]).map(key => ({ header: key, key, width: 20 }));
data.forEach(row => sheet.addRow(row));
// Style header row
sheet.getRow(1).font = { bold: true };
sheet.getRow(1).fill = { type: 'pattern', pattern: 'solid', fgColor: { argb: 'FFE0E0E0' } };
}
await workbook.xlsx.writeFile(outputPath);
}
```
**PPTX from Slides:**
```javascript
const PptxGenJS = require('pptxgenjs');
function generatePPTX(slides, outputPath, options = {}) {
const pptx = new PptxGenJS();
pptx.author = options.author || 'Generated by Rune';
slides.forEach(slide => {
const s = pptx.addSlide();
if (slide.title) s.addText(slide.title, { x: 0.5, y: 0.5, fontSize: 28, bold: true });
if (slide.body) s.addText(slide.body, { x: 0.5, y: 1.5, fontSize: 16 });
if (slide.bullets) s.addText(slide.bullets.map(b => ({ text: b, options: { bullet: true } })), { x: 0.5, y: 1.5, fontSize: 16 });
});
return pptx.writeFile({ fileName: outputPath });
}
```
#### Step 4 — Execute and Verify
Run the generation script. Verify:
- Output file exists and is non-empty
- File can be opened (basic format validation)
- Content matches expected structure
### Parse Mode
#### Step 1 — Detect Format
Identify file format from extension and MIME type.
#### Step 2 — Extract Content
| Format | Extraction Strategy |
|--------|-------------------|
| PDF | Use the runtime's native document/PDF reader when available; otherwise use a supported PDF parsing library |
| DOCX | docx library → extract text, tables, images |
| XLSX | ExcelJS → extract sheets, rows, formulas |
| PPTX | pptxgenjs → extract slides, text, notes |
| CSV | Built-in parser → structured data |
#### Step 3 — Structure Output
Return parsed content as structured data:
```json
{
"format": "xlsx",
"sheets": [
{
"name": "Sheet1",
"headers": ["Name", "Email", "Role"],
"rows": [["Alice", "alice@co.com", "Engineer"], ...],
"rowCount": 100
}
]
}
```
## Output Format
### Generate Mode Output
- Generated document file at specified output path
- Verification report: file exists, non-empty, format valid
```
Document Generated:
- Format: [PDF/DOCX/XLSX/PPTX/CSV]
- Path: [output file path]
- Size: [file size]
- Strategy: [e.g., Markdown → HTML → Puppeteer → PDF]
- Status: verified ✓
```
### Parse Mode Output
Structured JSON returned to calling skill:
```json
{
"format": "xlsx",
"metadata": { "author": "...", "created": "..." },
"content": {
"sheets": [
{
"name": "Sheet1",
"headers": ["Col1", "Col2"],
"rows": [["val1", "val2"]],
"rowCount": 100
}
]
}
}
```
Format-specific fields: `sheets` (XLSX), `pages` (PDF/DOCX), `slides` (PPTX), `rows` (CSV).
## Constraints
1. MUST verify output file exists and is non-empty after generation
2. MUST handle missing libraries gracefully — suggest `npm install` / `pip install` if not found
3. MUST NOT embed secrets or sensitive data in generated documents
4. MUST preserve formatting fidelity — generated docs should look professional
5. Parse mode MUST handle malformed files gracefully — report errors, don't crash
6. MUST use appropriate library for each format — don't force one library for all formats
## Sharp Edges
| Failure Mode | Severity | Mitigation |
|---|---|---|
| Library not installed in project | HIGH | Check package.json/requirements.txt, suggest install command |
| PDF generation fails without headless browser | HIGH | Puppeteer needs chromium — suggest alternative (jsPDF) if unavailable |
| XLSX with formulas not evaluated | MEDIUM | Use ExcelJS formula support, warn if complex formulas |
| Large file generation runs out of memory | MEDIUM | Stream large datasets instead of loading all at once |
| Generated file is empty or corrupt | HIGH | Step 4 verification catches this — retry or report |
## Done When
### Generate Mode
- Target format and source identified
- Generation strategy selected
- Code produced and executed
- Output file verified (exists, non-empty, valid format)
### Parse Mode
- File format detected
- Content extracted to structured data
- Output returned in consistent JSON format
## Cost Profile
~1000-3000 tokens input, ~500-2000 tokens output. Sonnet — document processing requires understanding format libraries and generating correct code, but not deep reasoning.
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