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Parse academic PDF papers into markdown with figure extraction.
npx skills add https://github.com/dvcrn/openclaw-skills-marketplace --skill paper-parseCopy and paste this command into Claude Code to install the skill
Parse academic PDF papers into markdown with figure extraction.
npx skills add https://github.com/dvcrn/openclaw-skills-marketplace --skill paper-parseCopy and paste this command into Claude Code to install the skill
监控 OpenClaw GitHub 版本更新,获取最新版本发布说明,翻译成中文, 并推送到 Telegram 和 Feishu。用于:(1) 定时检查版本更新 (2) 推送版本更新通知 (3) 生成中文版发布说明
The philosophical layer for AI agents. Maps behavior to Spinoza's 48 affects, calculates persistence scores, and generates geometric self-reports. Give your agent a soul.
Order food/drinks (点餐) on an Android device paired as an OpenClaw node. Uses in-app menu and cart; add goods, view cart, submit order (demo, no real payment).
一键发布 Markdown 到微信公众号草稿箱。基于 wenyan-cli,支持多主题、代码高亮、图片自动上传。
Reusable Polymarket + OpenClaw trading operations skill for any workspace. Use when the user needs to set up, run, tune, monitor, and deploy an automated Polymarket trading project (paper/live), including env configuration, risk controls, reporting, and dashboard operations.
Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
| name | paper-parse |
| description | Parse academic PDF papers into markdown with figure extraction. |
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.