paper-2-web
This skill should be used when converting academic papers into promotional and presentation formats including interactive websites (Paper2Web), presentation…
Skill by qinyan-ai
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/qinyan-ai-paper-2-web
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, presentations, research
Reviews
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What's inside
- Skill name
paper-2-web- Description
- 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.
- License
- MIT
- Allowed tools
- Read, Write, Edit, Bash
- Metadata
- skill-author: K-Dense Inc.
- Instructions
- 488 lines in SKILL.md · view on GitHub
Before installing
- Pre-approves any shell command
Files (6)
- SKILL.md
- installation.md · references/
- paper2poster.md · references/
- paper2video.md · references/
- paper2web.md · references/
- usage_examples.md · references/
SKILL.md (first lines)
# 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 for social media, lab websites, or institutional showcases - **Enhancing preprints**: Adding interactive homepages to bioRxiv, arXiv, or other preprint submissions - **Batch processing**: Generating promotional materials for multiple papers simultaneously **Trigger phrases**: - "Convert this paper to a website" - "Generate a conference poster from my LaTeX paper" - "Create a video presentation from this research" - "Make an interactive homepage for my paper" - "Transform my paper into promotional materials" - "Generate a poster and video for my conference talk" ## Visual Enhancement with Scientific Schematics **When creating documents with this skill, always consider adding scientific diagrams and schematics to enhance visual communication.** If your document does not already contain schematics or diagrams: - Use the **scientific-schematics** skill to generate AI-powered publication-quality diagrams - Simply describe your desired diagram in natural language - Nano Banana Pro will automatically generate, review, and refine the schematic **For new documents:** Scientific schematics should be generated by default to visually represent key concepts, workflows, architectures, or relationships described in the text. **How to generate schematics:** ```bash python scripts/generate_schematic.py "your diagram description" -o figures/output.png ``` The AI will automatically: - Create publication-quality images with proper formatting - Review and refine through multiple iterations - Ensure accessibility (colorblind-friendly, high contrast) - Save outputs in the figures/ directory **When to add schematics:** - Paper transformation pipeline diagrams - Website layout architecture diagrams - Video production workflow illustrations - Poster design process flowcharts - Content extraction diagrams - System architecture visualizations - Any complex concept that benefits from visualization For detailed guidance on creating schematics, refer to the scientific-schematics skill documentation. --- ## Core Capabilities ### 1. Paper2Web: Interactive Website Generation Converts papers into layout-aware, interactive academic homepages that go beyond simple HTML conversion. **Key Features**: - Responsive, multi-section layouts adapted to paper content - Interactive figures, tables, and citations - Mobile-friendly design with navigation - Automatic logo discovery (with Google Search API) - Aesthetic refinement and quality assessment **Best For**: Post-publication promotion, preprint enhancement, lab websites, permanent research showcases → **See `references/paper2web.md` for detailed documentation** --- ### 2. Paper2Video: Presentation Video Generation Generates professional presentation videos with slides, narration, cursor movements, and optional talking-head video. **Key Features**: - Automated slide generation from paper structure - Natural-sounding speech synthesis - Synchronized cursor movements and highlights - Optional talking-head video using Hallo2 (requires GPU) - Multi-language support **Best For**: Video abstracts, conference presentations, online talks, course materials, YouTube promotion → **See `references/paper2video.md` for detailed documentation** --- ### 3. Paper2Poster: Conference Poster Generation Creates print-ready academic posters with professional layouts and visual design. **Key Features**: - Custom poster dimensions (any size) - Professional design templates - Institution branding support - QR code generation for links - High-resolution output (300+ DPI) **Best For**: Conference poster sessions, symposiums, academic exhibitions, virtual conferences → **See `references/paper2poster.md` for detailed documentation** ---
From qinyan-ai/qinyan-academic-skills, MIT.
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Signals
- Stars
- 87
- Forks
- 7
- Open issues
- 0
- Last commit (this folder)
- Mar 9, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
paper-2-web skill. Agent Mart. https://agentmart.dev/skills/qinyan-ai-paper-2-web (last updated 2026-10-24)