From ideogram-pack
Walks through Ideogram API key setup, environment configuration, and connection verification for AI image generation.
How this skill is triggered — by the user, by Claude, or both
Slash command
/ideogram-pack:ideogram-install-authThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Set up Ideogram API authentication for AI image generation. Ideogram provides a REST API at `api.ideogram.ai` for text-to-image generation, editing, remixing, upscaling, and describing images. Authentication uses an `Api-Key` header on every request.
Set up Ideogram API authentication for AI image generation. Ideogram provides a REST API at api.ideogram.ai for text-to-image generation, editing, remixing, upscaling, and describing images. Authentication uses an Api-Key header on every request.
set -euo pipefail
# Node.js (no SDK required -- Ideogram uses a plain REST API)
npm install dotenv
# Python
pip install requests python-dotenv
# Create .env file (NEVER commit to git)
echo 'IDEOGRAM_API_KEY=your-api-key-here' >> .env
# Add to .gitignore
echo '.env' >> .gitignore
echo '.env.local' >> .gitignore
// verify-ideogram.ts
import "dotenv/config";
async function verifyIdeogramAuth() {
const response = await fetch("https://api.ideogram.ai/generate", {
method: "POST",
headers: {
"Api-Key": process.env.IDEOGRAM_API_KEY!,
"Content-Type": "application/json",
},
body: JSON.stringify({
image_request: {
prompt: "A simple blue circle on white background",
model: "V_2_TURBO",
aspect_ratio: "ASPECT_1_1",
magic_prompt_option: "OFF",
},
}),
});
if (response.ok) {
const result = await response.json();
console.log("Auth verified. Image URL:", result.data[0].url);
console.log("Seed:", result.data[0].seed);
} else {
const err = await response.text();
console.error(`Auth failed (${response.status}):`, err);
}
}
verifyIdeogramAuth();
# verify_ideogram.py
import os, requests
from dotenv import load_dotenv
load_dotenv()
response = requests.post(
"https://api.ideogram.ai/generate",
headers={
"Api-Key": os.environ["IDEOGRAM_API_KEY"],
"Content-Type": "application/json",
},
json={
"image_request": {
"prompt": "A simple blue circle on white background",
"model": "V_2_TURBO",
"aspect_ratio": "ASPECT_1_1",
"magic_prompt_option": "OFF",
}
},
)
if response.ok:
data = response.json()
print("Auth verified. Image URL:", data["data"][0]["url"])
else:
print(f"Auth failed ({response.status_code}):", response.text)
| API Version | Base URL | Notes |
|---|---|---|
| Legacy (V_2) | https://api.ideogram.ai/generate | JSON body with image_request wrapper |
| V3 Generate | https://api.ideogram.ai/v1/ideogram-v3/generate | Multipart form data |
| V3 Edit | https://api.ideogram.ai/v1/ideogram-v3/edit | Multipart form data |
| V3 Remix | https://api.ideogram.ai/v1/ideogram-v3/remix | Multipart form data |
| V3 Reframe | https://api.ideogram.ai/v1/ideogram-v3/reframe | Multipart form data |
| Upscale | https://api.ideogram.ai/upscale | Multipart form data |
| Describe | https://api.ideogram.ai/describe | Multipart form data |
[email protected] for higher limits| Error | HTTP Status | Cause | Solution |
|---|---|---|---|
| Invalid API Key | 401 | Key missing or revoked | Verify key in dashboard, regenerate if needed |
| Rate Limited | 429 | Exceeded 10 in-flight requests | Queue requests, add backoff |
| Insufficient Credits | 402 | Balance depleted | Top up via dashboard billing |
| Safety Rejected | 422 | Prompt or image failed safety check | Rephrase prompt, remove flagged content |
IDEOGRAM_API_KEY configured.env file with key (git-ignored)After successful auth, proceed to ideogram-hello-world for your first real generation.
6plugins reuse this skill
First indexed Jul 18, 2026
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin ideogram-packGenerates AI images using Ideogram API with curl and TypeScript examples. Covers legacy and V3 endpoints, temporary image URLs.
Guides collaborative design exploration before implementation: explores context, asks clarifying questions, proposes approaches, and writes a design doc for user approval.
Creates structured, bite-sized implementation plans from specs or requirements before writing code. Useful for breaking down multi-step tasks into testable steps with file structure and task boundaries.