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PythonReactSEOPDF
GitHub Skill

viral-content-predictor

Analyzes medical education content ideas from PDFs/DOCX files to predict viral potential (views, likes, shares, AVD) and provides actionable insights. Use when the user needs to evaluate content ideas for engagement potential, get predictive analytics on video performance, research trending topics in medical/health niches, analyze YouTube comments and audience sentiment, identify knowledge gaps and myths, or prioritize content ideas based on viral likelihood.

drshailesh88☆ 1 Repository stars0 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

View source ↗Guides

Skill instructions

Features and purpose

Analyzes medical education content ideas from PDFs/DOCX files to predict viral potential (views, likes, shares, AVD) and provides actionable insights. Use when the user needs to evaluate content ideas for engagement potential, get predictive analytics on video performance, research trending topics in medical/health niches, analyze YouTube comments and audience sentiment, identify knowledge gaps and myths, or prioritize content ideas based on viral likelihood.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

Guides ↗

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-01-20
Index updated
2026-02-26
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

GitHub ↗

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