glmv-pdf-to-web

PDF → Academic Project Website Skill

Convert a research paper or technical document PDF into a polished single-page project website — the kind used for NeurIPS/CVPR/ICLR paper releases. Pages are converted locally at DPI 120, a structured outline.json is saved, images are cropped locally, and the final page is saved with generate_web.py.

Scripts are in: {SKILL_DIR}/scripts/

Dependencies

Python packages (install once):

pip install pymupdf pillow

System tools: curl (pre-installed on macOS/Linux).

When to Use

Trigger when the user asks to create a webpage or project page from a PDF — phrases like: "make a project page from a PDF", "create a paper website", "build an academic website for this paper", "论文主页", "做项目主页", "根据pdf做网页", "把论文做成主页", or any similar intent in Chinese or English.

Output Directory Convention

All output goes under {WORKSPACE}/web/<pdf_stem>_<timestamp>/:

web/
└── <pdf_stem>_<timestamp>/
    ├── outline.json        ← structured web plan (WebPlan schema)
    ├── crops/              ← locally-saved cropped images
    │   ├── fig_arch_crop.png
    │   ├── table_results_crop.png
    │   └── ...
    └── index.html          ← the website

• <pdf_stem> = PDF filename without extension
• <timestamp> = format YYYYMMDD_HHMMSS
• HTML references images via relative path crops/<name>_crop.png

Input

$ARGUMENTS is the path to the PDF file (local) or an HTTP/HTTPS URL.

• If user provides a URL: download with curl first, then convert
• If user provides a local PDF path: convert directly

---

Workflow

Phase 0 — Create Output Directory

import os, datetime
pdf_stem = os.path.splitext(os.path.basename(pdf_path))[0]
timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
out_dir = os.path.join(workspace, "web", f"{pdf_stem}_{timestamp}")

mkdir -p "<out_dir>/crops"

---

Phase 1 — Convert PDF Pages to Images (DPI 120)

If the input is a URL, download it first:

pdf_stem=$(basename "$ARGUMENTS" .pdf)
curl -L -o "/tmp/${pdf_stem}.pdf" "$ARGUMENTS"

Then convert (pass either the downloaded path or the original local path):

python {SKILL_DIR}/scripts/pdf_to_images.py "<pdf_path>" --dpi 120