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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-patterns setup
• Understanding of async patterns
• Content ready for presentation

Instructions

Step 1: Prompt-Based Generation

Copyimport { 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

Copyasync 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

Copyinterface 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

Copyasync 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

Resources

• Gamma AI Generation
• Prompt Best Practices

Next Steps

Proceed to gamma-core-workflow-b for presentation editing and export workflows.