| name | gamma-core-workflow-a |
| description | Implement core Gamma workflow for AI presentation generation. Use when creating presentations from prompts, documents, or structured content with AI assistance. Trigger with phrases like "gamma generate presentation", "gamma AI slides", "gamma from prompt", "gamma content to slides", "gamma automation". |
| allowed-tools | Read, Write, Edit |
| version | 1.0.0 |
| license | MIT |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
Gamma Core Workflow A: AI Presentation Generation
Overview
Implement the core workflow for generating presentations using Gamma's AI capabilities from various input sources.
Prerequisites
- Completed
gamma-sdk-patternssetup - Understanding of async patterns
- Content ready for presentation
Instructions
Step 1: Prompt-Based Generation
import { GammaClient } from '@gamma/sdk';
const gamma = new GammaClient({ apiKey: process.env.GAMMA_API_KEY });
async function generateFromPrompt(topic: string, slides: number = 10) {
const presentation = await gamma.presentations.generate({
prompt: topic,
slideCount: slides,
style: 'professional',
includeImages: true,
includeSpeakerNotes: true,
});
return presentation;
}
// Usage
const deck = await generateFromPrompt('Introduction to Machine Learning', 8);
console.log('Generated:', deck.url);
Step 2: Document-Based Generation
async function generateFromDocument(filePath: string) {
const document = await fs.readFile(filePath, 'utf-8');
const presentation = await gamma.presentations.generate({
sourceDocument: document,
sourceType: 'markdown', // or 'pdf', 'docx', 'text'
extractKeyPoints: true,
maxSlides: 15,
});
return presentation;
}
Step 3: Structured Content Generation
interface SlideOutline {
title: string;
points: string[];
imagePrompt?: string;
}
async function generateFromOutline(outline: SlideOutline[]) {
const presentation = await gamma.presentations.generate({
slides: outline.map(slide => ({
title: slide.title,
content: slide.points.join('\n'),
generateImage: slide.imagePrompt,
})),
style: 'modern',
});
return presentation;
}
Step 4: Batch Generation Pipeline
async function batchGenerate(topics: string[]) {
const results = await Promise.allSettled(
topics.map(topic =>
gamma.presentations.generate({
prompt: topic,
slideCount: 5,
})
)
);
return results.map((r, i) => ({
topic: topics[i],
status: r.status,
url: r.status === 'fulfilled' ? r.value.url : null,
error: r.status === 'rejected' ? r.reason.message : null,
}));
}
Output
- AI-generated presentations from prompts
- Document-to-presentation conversion
- Structured content transformation
- Batch processing capability
Error Handling
| Error | Cause | Solution |
|---|---|---|
| Generation Timeout | Complex prompt | Reduce slide count or simplify |
| Content Too Long | Document exceeds limit | Split into sections |
| Rate Limit | Too many requests | Implement queue system |
| Style Not Found | Invalid style name | Check available styles |
Resources
Next Steps
Proceed to gamma-core-workflow-b for presentation editing and export workflows.