Gamma Hello World

SkillDev tools

'Generate your first Gamma presentation via the API.

Use Gamma Hello World in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Gamma Hello World and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the Gamma Hello World skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Gamma Hello WorldStart free

What this skill tells your AI

The instructions your AI receives, as published by jeremylongshore/tons-of-skills-marketplace in skills/.curated/gamma-hello-world/SKILL.md and read by Ahel’s review.

Output

Return an opaque test ID, schema/publish result, owner, and redacted failure reference. Keep presentation content, credentials, and viewer data out of output.

Examples

Create a disposable staging presentation with fictional content, verify it is visible only to the approved test audience, then delete or unpublish it through the documented cleanup path.

Overview

Generate your first presentation using Gamma's async Generate API. The workflow is: POST to create a generation, poll for status, then retrieve results (gammaUrl + exportUrl).

Prerequisites

  • Completed gamma-install-auth setup
  • Valid GAMMA_API_KEY environment variable
  • Pro account with available credits

The Generate-Poll-Retrieve Pattern

All Gamma generations are asynchronous:

  1. POST /v1.0/generations — submit content, receive generationId
  2. GET /v1.0/generations/{generationId} — poll every 5s until completed or failed
  3. Result — gammaUrl (view in app) + exportUrl (download PDF/PPTX/PNG)

Instructions

Minimal curl Example

# Step 1: Create generation
GENERATION=$(curl -s -X POST \
  "https://public-api.gamma.app/v1.0/generations" \
  -H "X-API-KEY: ${GAMMA_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{
    "content": "Create a 5-card presentation about the benefits of AI in business",
    "outputFormat": "presentation"
  }')

GEN_ID=$(echo "$GENERATION" | jq -r '.generationId')
echo "Generation started: $GEN_ID"

# Step 2: Poll until complete (every 5 seconds)
while true; do
  STATUS=$(curl -s \
    "https://public-api.gamma.app/v1.0/generations/${GEN_ID}" \
    -H "X-API-KEY: ${GAMMA_API_KEY}")
  STATE=$(echo "$STATUS" | jq -r '.status')
  echo "Status: $STATE"
  [ "$STATE" = "completed" ] || [ "$STATE" = "failed" ] && break
  sleep 5
done

# Step 3: Retrieve results
echo "$STATUS" | jq '{gammaUrl, exportUrl, creditsUsed}'

Node.js / TypeScript Example

const GAMMA_BASE = "https://public-api.gamma.app/v1.0";
const headers = {
  "X-API-KEY": process.env.GAMMA_API_KEY!,
  "Content-Type": "application/json",
};

async function generatePresentation(content: string) {
  // Step 1: Create generation
  const createRes = await fetch(`${GAMMA_BASE}/generations`, {
    method: "POST",
    headers,
    body: JSON.stringify({
      content,
      outputFormat: "presentation",
    }),
  });
  if (!createRes.ok) throw new Error(`Create failed: ${createRes.status}`);
  const { generationId } = await createRes.json();
  console.log(`Generation started: ${generationId}`);

  // Step 2: Poll for completion
  while (true) {
    const pollRes = await fetch(`${GAMMA_BASE}/generations/${generationId}`, { headers });
    const result = await pollRes.json();

    if (result.status === "completed") {
      console.log(`View: ${result.gammaUrl}`);
      console.log(`Download: ${result.exportUrl}`);
      console.log(`Credits used: ${result.creditsUsed}`);
      return result;
    }
    if (result.status === "failed") {
      throw new Error(`Generation failed: ${JSON.stringify(result)}`);
    }
    console.log(`Status: ${result.status}...`);
    await new Promise((r) => setTimeout(r, 5000));
  }
}

// Run it
await generatePresentation("Create a 5-card intro to machine learning");

Python Example

import os, time, requests

BASE = "https://public-api.gamma.app/v1.0"
HEADERS = {
    "X-API-KEY": os.environ["GAMMA_API_KEY"],
    "Content-Type": "application/json",
}

def generate_presentation(content: str) -> dict:
    # Step 1: Create
    resp = requests.post(f"{BASE}/generations", headers=HEADERS, json={
        "content": content,
        "outputFormat": "presentation",
    })
    resp.raise_for_status()
    gen_id = resp.json()["generationId"]
    print(f"Generation started: {gen_id}")

    # Step 2: Poll
    while True:
        poll = requests.get(f"{BASE}/generations/{gen_id}", headers=HEADERS)
        result = poll.json()
        if result["status"] == "completed":
            print(f"View: {result['gammaUrl']}")
            print(f"Download: {result['exportUrl']}")
            return result
        if result["status"] == "failed":
            raise Exception(f"Failed: {result}")
        print(f"Status: {result['status']}...")
        time.sleep(5)

generate_presentation("5-card intro to sustainable energy")

Expected Output

{
  "generationId": "gen_abc123",
  "status": "completed",
  "gammaUrl": "https://gamma.app/docs/Benefits-of-AI-abc123",
  "exportUrl": "https://export.gamma.app/gen_abc123.pdf",
  "creditsUsed": 42
}

Output Formats

outputFormatResult
presentationSlide deck (default)
documentLong-form document
webpageWeb page
social_postSocial media content

Error Handling

ErrorCauseSolution
401 on POSTBad API keyVerify X-API-KEY header
422 on POSTInvalid parametersCheck content and outputFormat values
status: "failed"Generation could not completeSimplify content or reduce card count
Poll timeoutVery large generationIncrease poll duration beyond 2 minutes

Resources

Next Steps

Proceed to gamma-core-workflow-a for advanced generation with themes, images, and export options.

Signals

GitHub stars
3k
Forks
415
Last commit
Oct 2026
Advanced
Item type
skill
Key
gamma-hello-world
Source
github.com/jeremylongshore/tons-of-skills-marketplace