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.

2.63x

Quality

67%

Does it follow best practices?

Impact

95%

2.63x

Average score across 3 eval scenarios

Securityby

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./scientific-skills/paper-2-web/SKILL.md

Evaluation results

96%

19%

Lab Research Paper Promotion Automation

Environment setup and batch website generation

Criteria

Without context

With context

Conda Python 3.11

100%

pip install requirements

100%

LibreOffice install

100%

Poppler install

100%

OPENAI_API_KEY in .env

100%

pipeline_all.py used

100%

--generate-website flag

100%

Model choice 1

100%

Logo search enabled

100%

Per-paper subdirectory

100%

Parallel batch execution

100%

LaTeX input preference

37%

50%

100%

96%

Conference Presentation Package for CVPR Submission

Custom poster dimensions and video generation pipeline selection

Criteria

Without context

With context

pipeline_all.py for poster

100%

--generate-poster flag

100%

Poster width 60 inches

20%

100%

Poster height 48 inches

20%

100%

pipeline_light.py for video

100%

GPT-4.1 text model

100%

GPT-4.1 visual model

100%

Poster PDF output named

100%

Poster PNG output named

100%

Video MP4 output named

100%

LibreOffice dependency

100%

Poppler dependency

100%

90%

62%

Multi-Platform Research Promotion Campaign

Platform-specific social media targeting and schematic generation

Criteria

Without context

With context

Numeric folder for Twitter

100%

xhs_ folder for Xiaohongshu

100%

Folder convention explained

20%

70%

generate_schematic.py invoked

100%

Schematic description argument

50%

100%

Output to figures/ directory

58%

100%

Schematic command documented

87%

100%

Both platforms processed

100%

OPENAI_API_KEY referenced

Repository: K-Dense-AI/claude-scientific-skills
Commit: b58ad7e

Evaluated: 27 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Lab Research Paper Promotion Automation Conference Presentation Package for CVPR Submission Multi-Platform Research Promotion Campaign

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