Sub-skill of cad-engineering: Conversion Strategy Selection (+3).
Scanned 9/9/2026
Install to Claude Code
npx -y skills add vamseeachanta/workspace-hub --skill conversion-strategy-selection --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: cad-engineering-conversion-strategy-selection
description: 'Sub-skill of cad-engineering: Conversion Strategy Selection (+3).'
version: 1.0.0
category: engineering
type: reference
scripts_exempt: true
---
# Conversion Strategy Selection (+3)
## Conversion Strategy Selection
1. **Vector PDFs**: Direct vector extraction
2. **Scanned Drawings**: OCR and vectorization
3. **Mixed Content**: Hybrid approach
4. **Complex Cases**: Manual reconstruction
## Conversion Tools
| Category | Tools |
|----------|-------|
| **Commercial** | AutoDWG, AnyDWG, Print2CAD, Scan2CAD, pdf2cad |
| **Open-Source** | Inkscape+pstoedit, potrace, autotrace, pdf2dxf |
| **Libraries** | OpenCV, Tesseract OCR, CADLib, LibreDWG, TeighaFile |
| **Cloud Services** | Zamzar, CloudConvert, CAD Exchanger |
| **AI/ML Tools** | Deep learning drawing recognition, neural vectorization |
## PDF Analysis Workflow
```python
from digitalmodel.agents.cad import PDFAnalyzer
# Analyze PDF type
analyzer = PDFAnalyzer()
analysis = analyzer.analyze("drawing.pdf")
print(f"PDF Type: {analysis['type']}") # vector/raster/hybrid
print(f"Creation Method: {analysis['creation_method']}")
print(f"Embedded Fonts: {analysis['fonts']}")
*See sub-skills for full details.*
## Conversion Quality Optimization
```python
from digitalmodel.agents.cad import CADConverter
converter = CADConverter()
# Pre-processing for scanned PDFs
converter.preprocess(
input_file="scanned_drawing.pdf",
operations=[
"denoise",
*See sub-skills for full details.*
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