| name | do-wdr-visual-resolver |
| description | Visual URL resolution skill using CLIP screenshot embeddings to handle scanned PDFs, image-heavy layouts, and JS-heavy SPAs. |
| license | MIT |
| compatibility | Python 3.11+, CLIP, Playwright |
| allowed-tools | Bash(python:*|do-wdr:*) Read |
| metadata | {"author":"d-oit","version":"0.1.0","source":"https://github.com/d-oit/do-web-doc-resolver"} |
Visual Resolver Skill
Extends the Web Doc Resolver cascade with a visual provider based on CLIP screenshot embeddings.
When to use this skill
Activate this skill when text-based extractors (Jina, Firecrawl, etc.) fail to resolve a URL, particularly for:
- Scanned PDFs (raster text)
- Single Page Applications (SPAs) returning skeleton HTML
- Infographic-heavy or chart/table-only documents
- Complex multi-column academic layouts
Prerequisites
Install visual resolution dependencies:
pip install torch torchvision torchaudio
pip install git+https://github.com/openai/CLIP.git
pip install playwright
playwright install chromium
Integration
This skill is designed to be integrated into the scripts/_url_resolve.py cascade.
Usage
from .visual_resolver import VisualResolver
resolver = VisualResolver()
if resolver.is_available():
result = resolver.resolve("https://example.com/scanned-pdf", "technical architecture diagram")
