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Sub-skill of cad-engineering: Conversion Strategy Selection (+3).
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Write outbound email and external messages in Vamsee Achanta's voice — a subtle offer to help, never bold or rash claims. Load before drafting ANY email, LinkedIn/Collide reply, proposal note, or outreach sent under his name.
Save/publish analysis or computation results from ANY ecosystem repo to Hugging Face as a queryable, viewer-renderable dataset. Use when the user wants to "save results to hugging face", "publish dataset to HF", "hugging face data saving", "save analysis results", "hf dataset", "make results queryable", or "render via datasets-server API". Reshapes nested results into flat parquet tables, writes a dataset card with a viewer `configs:` block and provenance, applies license/public-vs-private routing, enforces a domain data-quality gate (faithful-to-source != correct), publishes to `aceengineer/<repo>-<projection>`, and verifies via the datasets-server API.
Clone, create, fork, configure, and manage GitHub repositories. Manage remotes, secrets, releases, and workflows. Works with gh CLI or falls back to git + GitHub REST API via curl.
| 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 |
| 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 |
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.*