Generate your first Gamma presentation via the API. An agent skill from jeremylongshore/tons-of-skills-marketplace.

MITAuto-check passedDocuments & Office

Install Gamma Hello World

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill gamma-hello-world -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace gamma-hello-world --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/gamma-hello-world .claude/skills/gamma-hello-world && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
gamma-hello-world
GitHub stars
2.8k
Token cost
~1.6k tokens
SKILL.md length
228 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Generate your first Gamma presentation via the API. An agent skill from jeremylongshore/tons-of-skills-marketplace.

  • Works in 3 steps: POST /v1.0/generations — submit content,… → GET /v1.0/generations/{generationId} —… → Result — gammaUrl (view in app) +…
  • Learning the generate-poll-retrieve workflow
  • SKILL.md covers Output, Examples, Overview and Prerequisites, plus 7 more sections
  • Calls jq and curl; reaches public-api.gamma.app and gamma.app; needs GAMMA_API_KEY

What it does

Gamma Hello World is an agent skill from jeremylongshore/tons-of-skills-marketplace. Generate your first Gamma presentation via the API. Use when learning the generate-poll-retrieve workflow, testing API connectivity, or creating a minimal example. Trigger: "gamma hello world", "gamma quick start", "first gamma presentation", "gamma example", "gamma test".

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code

It sits in Documents & Office. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Learning the generate-poll-retrieve workflow
  • Testing API connectivity
  • Creating a minimal example

Example prompts

  • “gamma hello world”
  • “gamma quick start”
  • “first gamma presentation”
  • “/gamma-hello-world”

Requirements

  • Python 3
  • Node.js
  • A credential in GAMMA_API_KEY
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(curl:*), Bash(node:*)

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  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)

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash(curl:*)
    • Bash(node:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • jq
    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • public-api.gamma.app
    • gamma.app
    • export.gamma.app

    Also links to:

    • developers.gamma.app

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • GAMMA_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Gamma Hello World loads about 1.6k tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 228 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 228 words, ~1,550 tokens.

Download SKILL.mdSave it as .claude/skills/gamma-hello-world/SKILL.md (or your agent's skills folder).
name
gamma-hello-world
description
Generate your first Gamma presentation via the API. Use when learning the generate-poll-retrieve workflow, testing API connectivity, or creating a minimal example. Trigger: "gamma hello world", "gamma quick start", "first gamma presentation", "gamma example", "gamma test".
allowed-tools
Read, Write, Edit, Bash(curl:*), Bash(node:*)
compatibility
Designed for Claude Code
version
1.13.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, gamma, api, getting-started

Gamma Hello World

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
bash
# 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
typescript
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
python
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

json
{
  "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.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/.curated/gamma-hello-world of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

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DOCXrvdbreemen/OTGW-firmware20733 repos~4.3kAutomated safety check: PassProprietary
Word Document Reader and WriterHKUDS/DeepTutor41k—~2.5kAutomated safety check: PassApache-2.0

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Questions about Gamma Hello World

What does Gamma Hello World do?

Generate your first Gamma presentation via the API. An agent skill from jeremylongshore/tons-of-skills-marketplace. Gamma Hello World is an agent skill from jeremylongshore/tons-of-skills-marketplace. Generate your first Gamma presentation via the API.

When should I use Gamma Hello World?

Gamma Hello World fits situations like: learning the generate-poll-retrieve workflow; testing API connectivity; creating a minimal example.

How do I install Gamma Hello World in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill gamma-hello-world -a claude-code`. Or copy the skill folder (skills/.curated/gamma-hello-world in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/gamma-hello-world in your project. Claude Code loads it when a task matches its description.

How do I install Gamma Hello World in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill gamma-hello-world -a codex`. Or copy the skill folder (skills/.curated/gamma-hello-world in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/gamma-hello-world in your project. Codex loads it when a task matches its description.

Can I use Gamma Hello World in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill gamma-hello-world -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gamma-hello-world, .gemini/skills/gamma-hello-world, .github/skills/gamma-hello-world and .opencode/skills/gamma-hello-world in your project.

What does Gamma Hello World need to run?

Going by SKILL.md and its folder, Gamma Hello World needs the command-line tools its instructions call (jq and curl) and credentials named GAMMA_API_KEY. Our summary lists: Python 3; Node.js; A credential in GAMMA_API_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(curl:*), Bash(node:*). Compatibility (from SKILL.md): Designed for Claude Code.

Does Gamma Hello World access the network?

SKILL.md names 4 domains. In commands or code: public-api.gamma.app, gamma.app and export.gamma.app; the agent is likely to contact these when it follows the instructions. As links in the text: developers.gamma.app. This is read from the text; nothing was executed.

Is Gamma Hello World safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Gamma Hello World use?

Gamma Hello World is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Gamma Hello World use?

About 1.6k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Gamma Hello World?

Skills that share tags, products or a category with Gamma Hello World: Markdown Article Formatter (JimLiu/baoyu-skills, 27k stars), Markitdown (ImCa0/just-laws, 781 stars), Obsidian Markdown (Atmosphere/atmosphere, 3.8k stars) and DOCX (rvdbreemen/OTGW-firmware, 207 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Gamma Hello World?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.