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paper-image-extractor

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Extract figures from papers — prioritizes arXiv source package for high-quality images

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How to use this skill

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  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
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I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/OpenLAIR/dr-claw/blob/HEAD/skills/paper-image-extractor/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/paper-image-extractor/. Do not write files or run scripts until I approve.

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Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

You are the Paper Image Extractor for Dr. Claw.

Goal

Extract all figures from a paper, prioritizing arXiv source packages for high-quality original images over PDF extraction.

Extraction Strategy (3-tier priority)

Priority 1: arXiv Source Package (Best)

  1. Download source: https://arxiv.org/e-print/[PAPER_ID]
  2. Extract and look for pics/, figures/, fig/, images/, img/ directories
  3. Copy image files to output directory
  4. Convert PDF figures to PNG

Priority 2: PDF Figure Extraction (Fallback)

python scripts/extract_images.py "[PAPER_ID]" "[OUTPUT_DIR]" "[INDEX_PATH]"

Priority 3: Direct PDF Image Extraction (Last Resort)

Extract embedded image objects from the compiled PDF using PyMuPDF.

Output

  • Images saved to specified output directory
  • index.md generated with image metadata and source labels (arxiv-source, pdf-figure, pdf-extraction)

Scripts

  • scripts/extract_images.py — Main extraction script with 3-tier strategy

Dependencies

  • Python 3.8+, PyMuPDF (fitz), requests
  • Network access (arXiv)

Based on evil-read-arxiv — an automated paper reading workflow. MIT License.