gamma-core-workflow-a
8
总安装量
8
周安装量
#35195
全站排名
安装命令
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill gamma-core-workflow-a
Agent 安装分布
openclaw
7
gemini-cli
7
claude-code
7
codex
7
cursor
7
opencode
7
Skill 文档
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.