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Parse academic PDF papers into markdown with figure extraction.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install chen-li-17/paper-parse-figuresInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Parse academic PDF papers into structured markdown with figure extraction using PyMuPDF.
uv run {baseDir}/scripts/parse_paper.py --pdf /path/to/paper.pdf [--output-dir ./output]
The tool generates:
{paper_name}_content.md - Full paper content in markdown{paper_name}_parsed.json - Structured metadata including:
cover_title_authors.png - First-page snapshot focused on title + authors regionfigures/ - Directory containing high-resolution figure screenshotsuv run scripts/parse_paper.py --pdf ~/papers/my-paper.pdf --output-dir ./parsed
Output structure:
./parsed/
├── my-paper_content.md
├── my-paper_parsed.json
└── figures/
├── figure_1.png
├── figure_2.png
└── ...
These are automatically managed by uv via the inline script metadata.
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# Paper Parse
Parse academic PDF papers into structured markdown with figure extraction using PyMuPDF.
## Usage
```bash
uv run {baseDir}/scripts/parse_paper.py --pdf /path/to/paper.pdf [--output-dir ./output]
```
## Output
The tool generates:
- `{paper_name}_content.md` - Full paper content in markdown
- `{paper_name}_parsed.json` - Structured metadata including:
- Paper title
- Number of pages
- Extracted figures with captions and paths
- `cover_title_authors.png` - First-page snapshot focused on title + authors region
- `figures/` - Directory containing high-resolution figure screenshots
## Example
```bash
uv run scripts/parse_paper.py --pdf ~/papers/my-paper.pdf --output-dir ./parsed
```
Output structure:
```
./parsed/
├── my-paper_content.md
├── my-paper_parsed.json
└── figures/
├── figure_1.png
├── figure_2.png
└── ...
```
## Dependencies
- PyMuPDF (fitz) - PDF parsing and rendering
- pymupdf4llm - Markdown conversion
These are automatically managed by uv via the inline script metadata.University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
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