academic-figure-architecture-extractor

Solid

Extract semantic structure and transferable style grammar from academic figures, PDFs, and paper or figure URLs for analysis, redraws, or reference-conditioned generation. Do not use it for paper-text-only figure planning.

Data & Documents 101 stars 10 forks Updated 1 weeks ago MIT

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Quality Score: 86/100

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Skill Content

# Academic Figure Architecture Extractor Turn supplied figures into grounded structure and reference-style evidence. Keep scientific content separate from transferable visual grammar. Load only when relevant: - missing evidence → `references/missing-info-policy.md` - local PDF helper → `scripts/extract_pdf_figures.py` ## Scope and inputs Accept one or more local images, PDFs, public paper/figure URLs, or an existing render that needs revision. Prefer the original figure image over a screenshot when both exist. PDF extraction finds embedded images or rasterized pages; it is not an architecture detector, and figure classification remains evidence-based judgment. For an article URL, inspect the page with an available web or browser tool, locate the requested figure and caption, and resolve its direct image or PDF source. Do not classify a paper URL as a repository. If a renderer will need the reference, retain or download it to an absolute local path without overwriting user files. ## Obtain candidates - **Local image:** inspect it with an available image-viewing tool at original detail. - **Remote figure:** open it, preserve its source URL and caption, then inspect the localized image when possible. - **PDF:** use a PDF-capable reader for pages and captions. To extract candidates, run the bundled helper from the skill repository when available: ```bash python3 academic-figure-architecture-extractor/scripts/extract_pdf_figures.py \ /absolute/path/to/paper.pdf -o /...

Details

Author
Azhi-ss
Repository
Azhi-ss/academic-figure-skills
Created
5 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

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