LQF_Machine_Learning_E…
LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine learning, modeling,…
Use when converting academic papers into dissemination assets such as Paper2Web websites, Paper2Video video abstracts, or Paper2Poster conference posters from LaTeX or PDF sources.
$ npx -y skills add foryourhealth111-pixel/Vibe-Skills --skill paper-2-web --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/paper-2-webContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when converting academic papers into dissemination assets such as Paper2Web websites, Paper2Video video abstracts, or Paper2Poster conference posters from LaTeX or PDF sources.
name: paper-2-web
description: Use when converting academic papers into dissemination assets such as Paper2Web websites, Paper2Video video abstracts, or Paper2Poster conference posters from LaTeX or PDF sources.
allowed-tools: Read Write Edit Bash
license: Unknown
metadata:
skill-author: K-Dense Inc.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.
Use this skill when:
**Trigger phrases**:
This skill owns transformation of an existing paper into dissemination assets. It can reuse provided figures and paper assets, but it does not generate new scientific diagrams, run data analysis, write the original manuscript, or require a separate visual specialist as part of normal transformation.
---
Converts papers into layout-aware, interactive academic homepages that go beyond simple HTML conversion.
**Key Features**:
**Best For**: Post-publication promotion, preprint enhancement, lab websites, permanent research showcases
→ **See `references/paper2web.md` for detailed documentation**
---
Generates professional presentation videos with slides, narration, cursor movements, and optional talking-head video.
**Key Features**:
**Best For**: Video abstracts, conference presentations, online talks, course materials, YouTube promotion
→ **See `references/paper2video.md` for detailed documentation**
---
Creates print-ready academic posters with professional layouts and visual design.
**Key Features**:
**Best For**: Conference poster sessions, symposiums, academic exhibitions, virtual conferences
→ **See `references/paper2poster.md` for detailed documentation**
---
1. **Install Paper2All**:
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
2. **Configure API Keys** (create `.env` file):
OPENAI_API_KEY=your_openai_api_key_here # Optional: GOOGLE_API_KEY and GOOGLE_CSE_ID for logo search
3. **Install System Dependencies**:
→ **See `references/installation.md` for complete installation guide**
---
**Generate All Components** (website + poster + video):
python pipeline_all.py \ --input-dir "path/to/paper" \ --output-dir "path/to/output" \ --model-choice 1
**Generate Website Only**:
python pipeline_all.py \ --input-dir "path/to/paper" \ --output-dir "path/to/output" \ --model-choice 1 \ --generate-website
**Generate Poster with Custom Size**:
python pipeline_all.py \ --input-dir "path/to/paper" \ --output-dir "path/to/output" \ --model-choice 1 \ --generate-poster \ --poster-width-inches 60 \ --poster-height-inches 40
**Generate Video** (lightweight pipeline):
python pipeline_light.py \ --model_name_t gpt-4.1 \ --model_name_v gpt-4.1 \ --result_dir "path/to/output" \ --paper_latex_root "path/to/paper"
→ **See `references/usage_examples.md` for comprehensive workflow examples**
---
Use this decision tree to determine which components to generate:
User needs promotional materials for paper? │ ├─ Need permanent online presence? │ └─→ Generate Paper2Web (interactive website) │ ├─ Need physical conference materials? │ ├─→ Poster session? → Generate Paper2Po
Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE.
Repo: foryourhealth111-pixel/Vibe-Skills
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