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Gamma Core Workflow A

  • 76 installs
  • 2.6k repo stars
  • Updated August 5, 2026
  • jeremylongshore/claude-code-plugins-plus-skills

Generate presentations, documents, webpages, and social posts from text prompts via the Gamma Generate API with full parameter control.

About

Calls Gamma's Generate API to produce presentations, documents, webpages, and social posts from text, covering themes, text modes, image options, and export formats. A developer uses it to automate deck and content generation.

  • Full Gamma Generate API parameter reference with TypeScript and curl examples
  • Supports batch generation with rate limiting and PDF/PPTX export

Gamma Core Workflow A by the numbers

  • 76 all-time installs (skills.sh)
  • Ranked #827 of 1,335 Generative Media skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill gamma-core-workflow-a

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Listed on Skillselion
Installs76
repo stars2.6k
Last updatedAugust 5, 2026
Repositoryjeremylongshore/claude-code-plugins-plus-skills

What it does

Generate presentations, documents, webpages, and social posts from text prompts via the Gamma Generate API with full parameter control.

Files

SKILL.mdMarkdownGitHub ↗

Gamma Core Workflow A: Content Generation

Overview

Generate presentations, documents, webpages, and social posts using Gamma's Generate API (POST /v1.0/generations). This skill covers the full parameter set: content, output format, text mode, text amount, themes, image options, sharing, folders, and export format.

Prerequisites

  • Completed gamma-sdk-patterns (client wrapper ready)
  • Pro account with available credits
  • Workspace themes configured (optional)

API Parameters Reference

ParameterTypeOptionsDefault
contentstringYour text/promptRequired
outputFormatstringpresentation, document, webpage, social_postpresentation
textModestringgenerate, condense, preservegenerate
textAmountstringbrief, medium, detailed, extensivemedium
themeIdstringFrom GET /v1.0/themesWorkspace default
imageOptions.stylestringFree text (e.g., "photorealistic", "watercolor illustration")AI default
exportAsstringpdf, pptx, pngNone (no auto-export)
sharingOptionsobjectworkspaceAccess, externalAccessWorkspace defaults
folderIdsstring[]From GET /v1.0/foldersRoot folder

Instructions

Step 1: Basic Presentation Generation

import { createGammaClient, pollUntilDone } from "./lib/gamma";

const gamma = createGammaClient({ apiKey: process.env.GAMMA_API_KEY! });

// Simple generation — just content and format
const { generationId } = await gamma.generate({
  content: "Create a 10-card pitch deck for a sustainable energy startup",
  outputFormat: "presentation",
});

const result = await pollUntilDone(gamma, generationId);
console.log(`View: ${result.gammaUrl}`);

Step 2: Full Parameter Generation

// Use all available parameters for precise control
async function generateFullControl() {
  // First, discover workspace themes
  const themes = await gamma.listThemes();
  const corporateTheme = themes.find((t) => t.name.includes("Corporate"));

  // Discover folders
  const folders = await gamma.listFolders();
  const reportsFolder = folders.find((f) => f.name === "Reports");

  const { generationId } = await gamma.generate({
    content: `
      Q1 2026 Business Review
      - Revenue up 23% YoY
      - Customer acquisition cost reduced by 15%
      - Three new product lines launched
      - Team grew from 45 to 62 employees
    `,
    outputFormat: "presentation",
    textMode: "generate",      // AI expands your bullet points
    textAmount: "detailed",     // More text per card
    themeId: corporateTheme?.id,
    exportAs: "pptx",           // Auto-generate PPTX download
    imageOptions: {
      style: "professional corporate photography",
    },
    sharingOptions: {
      workspaceAccess: "comment",   // Team can comment
      externalAccess: "view",       // External viewers read-only
    },
    folderIds: reportsFolder ? [reportsFolder.id] : [],
  });

  const result = await pollUntilDone(gamma, generationId);
  console.log(`View: ${result.gammaUrl}`);
  console.log(`Download PPTX: ${result.exportUrl}`);
  console.log(`Credits used: ${result.creditsUsed}`);
}

Step 3: Text Mode Comparison

// Same content, different text modes
const content = "Benefits of remote work: flexibility, reduced commute, global talent access";

// "generate" — AI expands bullets into full paragraphs
await gamma.generate({ content, textMode: "generate", outputFormat: "presentation" });

// "condense" — AI summarizes, keeps it concise
await gamma.generate({ content, textMode: "condense", outputFormat: "presentation" });

// "preserve" — uses your text as-is, no AI rewriting
await gamma.generate({ content, textMode: "preserve", outputFormat: "presentation" });

Step 4: Document and Webpage Generation

// Long-form document
const { generationId: docId } = await gamma.generate({
  content: "Comprehensive guide to implementing CI/CD pipelines with GitHub Actions",
  outputFormat: "document",
  textAmount: "extensive",
  exportAs: "pdf",
});

// Webpage
const { generationId: webId } = await gamma.generate({
  content: "Product landing page for an AI-powered code review tool",
  outputFormat: "webpage",
  imageOptions: { style: "modern minimalist tech" },
});

// Social post
const { generationId: socialId } = await gamma.generate({
  content: "Announcing our Series A funding round of $12M",
  outputFormat: "social_post",
  textAmount: "brief",
});

Step 5: Batch Generation with Rate Limiting

import pLimit from "p-limit";

const limit = pLimit(3); // Max 3 concurrent generations

const topics = [
  "Machine Learning Fundamentals",
  "Cloud Architecture Best Practices",
  "API Design Patterns",
  "DevOps Culture and Practices",
];

const results = await Promise.allSettled(
  topics.map((topic) =>
    limit(async () => {
      const { generationId } = await gamma.generate({
        content: `Create a training deck: ${topic}`,
        outputFormat: "presentation",
        textAmount: "medium",
        exportAs: "pdf",
      });
      return pollUntilDone(gamma, generationId);
    })
  )
);

results.forEach((r, i) => {
  if (r.status === "fulfilled") {
    console.log(`${topics[i]}: ${r.value.gammaUrl}`);
  } else {
    console.error(`${topics[i]}: FAILED — ${r.reason.message}`);
  }
});

Step 6: curl Reference

# Generate with all parameters
curl -X POST "https://public-api.gamma.app/v1.0/generations" \
  -H "X-API-KEY: ${GAMMA_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{
    "content": "5-card overview of AI in healthcare",
    "outputFormat": "presentation",
    "textMode": "generate",
    "textAmount": "medium",
    "themeId": "theme_abc123",
    "exportAs": "pdf",
    "imageOptions": { "style": "medical illustration" },
    "sharingOptions": {
      "workspaceAccess": "edit",
      "externalAccess": "view"
    }
  }'

Credit Cost Awareness

Image Model TierCredits per Image
Standard2-15
Advanced20-33
Premium34-75
Ultra30-125

A 10-card deck with 5 standard images costs approximately 20-60 credits.

Error Handling

ErrorCauseSolution
422 UnprocessableInvalid parameter combinationCheck parameter types and allowed values
status: "failed"Content too complex or longSimplify content or reduce scope
429 Rate LimitedToo many concurrent generationsUse p-limit for concurrency control
Empty exportUrlNo exportAs specifiedAdd exportAs: "pdf" to request

Resources

Next Steps

Proceed to gamma-core-workflow-b for template-based generation and export retrieval.

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