Agent skill · Media & Video

paper-2-web

This skill should be used when converting academic papers into promotional and presentation formats including interactive websites (Paper2Web), presentation videos (Paper2Video), and conference posters (Paper2Poster). Use this skill for tasks involving paper dissemination, conference preparation, creating explorable academic homepages, generating video abstracts, or producing print-ready posters from LaTeX or PDF sources.

LeonChaoXgithub.com/LeonChaoXGitHub ↗
claude-codecan modify filesMIT
Install
npx skills add LeonChaoX/qinyan-academic-skills --skill paper-2-web --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 16 KB
Bundled scripts: none
Allowed tools: ReadWriteEditBash
Path: skills/02-科学写作与学术交流/paper-2-web/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 759
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Paper2All: Academic Paper Transformation Pipeline ## Overview This skill enables the transformation of academic papers into multiple promotional and presentation formats using the Paper2All autonomous pipeline. The system converts research papers (LaTeX or PDF) into three primary outputs: 1. **Paper2Web**: Interactive, explorable academic homepages with layout-aware design 2. **Paper2Video**: Professional presentation videos with narration, slides, and optional talking-head 3. **Paper2Poster**: Print-ready conference posters with professional layouts The pipeline uses LLM-powered content extraction, design generation, and iterative refinement to create high-quality outputs suitable for conferences, journals, preprint repositories, and academic promotion. ## When to Use This Skill Use this skill when: - **Creating conference materials**: Posters, presentation videos, and companion websites for academic conferences - **Promoting research**: Converting published papers or preprints into accessible, engaging web formats - **Preparing presentations**: Generating video abstracts or full presentation videos from paper content - **Disseminating findings**: Creating promotional materials

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Visual Enhancement with Scientific Schematics
  4. Core Capabilities
  5. 1. Paper2Web: Interactive Website Generation
  6. 2. Paper2Video: Presentation Video Generation
  7. 3. Paper2Poster: Conference Poster Generation
  8. Quick Start
  9. Prerequisites
  10. Basic Usage
  11. Workflow Decision Tree
  12. Input Requirements
  13. Supported Input Formats
  14. Input Organization
Ships with 5 files
  • references/installation.md
  • references/paper2poster.md
  • references/paper2video.md
  • references/paper2web.md
  • references/usage_examples.md
Commands it runs
python scripts/generate_schematic.py "your diagram description" -o figures/output.png
git clone https://github.com/YuhangChen1/Paper2All.git
cd Paper2All
conda create -n paper2all python=3.11
conda activate paper2all
pip install -r requirements.txt
python pipeline_all.py \
python pipeline_light.py \
input/
mkdir -p input/001_twitter/
More from qinyan-academic-skills
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About this skill
What does the paper-2-web skill do?

This skill should be used when converting academic papers into promotional and presentation formats including interactive websites (Paper2Web), presentation videos (Paper2Video), and conference posters (Paper2Poster). Use this skill for tasks involving paper dissemination, conference preparation, creating explorable academic homepages, generating video abstracts, or producing print-ready posters from LaTeX or PDF sources.

How do I install it?

Run `npx skills add LeonChaoX/qinyan-academic-skills --skill paper-2-web --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From LeonChaoX/qinyan-academic-skills, a repository with 759 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going