Overview
- Skill Key
- chen-li-17/paper-parse-figures
- Author
- chen-li-17
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/chen-li-17/paper-parse-figures
- Latest Commit SHA
- 9bcaec611d650ce3a55e0103fdbf97818cc8943a
Official OpenClaw
rules
54%
paper-parse
Parse academic PDF papers into markdown with figure extraction.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
安装方式
直接复制以下提示词，发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店，若未安装，请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店，然后安装 paper-parse 技能。 若已安装，则直接安装 paper-parse 技能。
Extracted Content
SKILL.md excerpt
# 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.
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