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Extract documents to WebP pages for VLM analysis - Convert PDF, Office, Images to standardized WebP format
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Based on SOC occupation classification
将文档提取为 WebP 页面以进行 VLM 分析 - 将 PDF、Office、图片转换为标准化 WebP 格式
Document conversion and intelligent analysis - Use LibreOffice to convert Office/PDF documents to analyzable formats
文档转换与智能分析 - 使用 LibreOffice 将 Office/PDF 文档转换为可分析格式
Engineer Role - Responsible for code generation, testing, and maintenance
Reviewer Role - Responsible for code audit, architecture compliance checking, and feedback
Engineer Role - Responsible for code generation, testing, and maintenance
| name | monoco_atom_doc_extract |
| description | Extract documents to WebP pages for VLM analysis - Convert PDF, Office, Images to standardized WebP format |
| type | atom |
Extract documents to WebP pages suitable for Vision Language Model (VLM) analysis.
Use this skill when you need to:
Extract a document:
monoco doc-extractor extract <file_path> [--dpi 150] [--quality 85] [--pages "1-5,10"]
List extracted documents:
monoco doc-extractor list [--category pdf] [--limit 20]
Search documents:
monoco doc-extractor search <query>
Show document details:
monoco doc-extractor show <hash_prefix>
monoco doc-extractor cat <hash_prefix> # Show metadata JSON
| Parameter | Default | Description |
|---|---|---|
--dpi | 150 | DPI for rendering (72-300) |
--quality | 85 | WebP quality (1-100) |
--pages | all | Page range (e.g., "1-5,10,15-20") |
Documents are stored in ~/.monoco/blobs/{sha256_hash}/:
source.{ext} - Original filesource.pdf - Normalized PDFpages/*.webp - Rendered page imagesmeta.json - Document metadata# Extract a PDF with high quality
monoco doc-extractor extract ./report.pdf --dpi 200 --quality 90
# Extract specific pages from a document
monoco doc-extractor extract ./presentation.pptx --pages "1-10"
# List all PDF documents
monoco doc-extractor list --category pdf
# Show details of extracted document
monoco doc-extractor show a1b2c3d4
--dpi 200 or higher for documents with small text--quality 90 for better image quality (larger files)