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.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill 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.
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