Automate creation of polished, professional reveal.js presentations using natural language. Operations teams benefit from faster, consistent presentation generation. Connects to reveal.js for HTML output, streamlining workflows.
git clone https://github.com/ryanbbrown/revealjs-skill.gitAutomate creation of polished, professional reveal.js presentations using natural language. Operations teams benefit from faster, consistent presentation generation. Connects to reveal.js for HTML output, streamlining workflows.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/ryanbbrown/revealjs-skillCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Create a reveal.js presentation about [TOPIC] for [COMPANY] in the [INDUSTRY] sector. Include [NUMBER] slides with the following key points: [KEY POINTS]. Use a professional design theme and ensure the content is engaging and informative. Generate the HTML code for the presentation.
# Reveal.js Presentation: AI in Manufacturing
## Slide 1: Title Slide
**AI in Manufacturing: Transforming the Industry**
*Presented by: TechInnovate Solutions*
*Date: June 15, 2023*
## Slide 2: Introduction
- AI is revolutionizing the manufacturing sector
- Key areas of impact: predictive maintenance, quality control, and supply chain optimization
- Case studies from leading manufacturers
## Slide 3: Predictive Maintenance
- Using AI to predict equipment failures before they occur
- Reducing downtime and maintenance costs
- Example: AI-driven sensors in industrial machinery
## Slide 4: Quality Control
- AI-powered visual inspection systems
- Improving product quality and reducing defects
- Real-time analysis and feedback
## Slide 5: Supply Chain Optimization
- AI algorithms for demand forecasting and inventory management
- Enhancing supply chain resilience and efficiency
- Case study: AI in automotive supply chains
## Slide 6: Conclusion
- AI is a game-changer in manufacturing
- Early adopters gain a competitive edge
- Future trends and opportunities
## Slide 7: Q&A
*Thank you for your attention!*
```html
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>AI in Manufacturing</title>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/reveal.js/4.3.1/reveal.min.css">
</head>
<body>
<div class="reveal">
<div class="slides">
<!-- Slide content goes here -->
</div>
</div>
<script src="https://cdnjs.cloudflare.com/ajax/libs/reveal.js/4.3.1/reveal.min.js"></script>
<script>
Reveal.initialize();
</script>
</body>
</html>
```AI-powered eDiscovery with GenAI review
HTML-powered presentations for modern sales teams
AI assistant built for thoughtful, nuanced conversation
IronCalc is a spreadsheet engine and ecosystem
Enterprise workflow automation and service management platform
Automate your spreadsheet tasks with AI power