From academic-skills
Extracts core insights, figures, and metadata from scientific PDF papers. Identifies research problem, methods, results, innovations; crops figures; parses title, authors, DOI.
npx claudepluginhub shzhao27208/aut_sci_write --plugin academic-skillsThis skill uses the workspace's default tool permissions.
Professional extraction of core insights and figures from scientific PDF papers.
Reads, analyzes, and summarizes PDF academic papers into structured Markdown notes, extracting metadata, research questions, methods, results, and evaluations. Supports single papers, batches, and cross-comparisons.
Extracts figures and sub-figures from academic PDF papers with automatic detection, sub-figure label recognition (a/b/c/d), and high-quality PNG output at configurable DPI.
Processes research paper PDFs from local paths, URLs, or arXiv; extracts metadata, content, links; generates study materials in user's language for deep analysis.
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Professional extraction of core insights and figures from scientific PDF papers.
The skill uses pdfplumber for text positioning and PyMuPDF (fitz) for high-quality rendering.
Requires PyMuPDF, pdfplumber, and numpy.