Ideogram text-to-image generation with the strongest text rendering in the catalog: generate, edit, remix, upscale, describe, balance.

MITAuto-check passedMedia & Creative

Install Ideogram

skills CLI
$ npx skills add Anil-matcha/awesome-muse-connectors --skill ideogram -a claude-code

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

GitHub CLI
$ gh skill install Anil-matcha/awesome-muse-connectors ideogram --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/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/ideogram .claude/skills/ideogram && 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
ideogram
GitHub stars
1.3k
Token cost
~826 tokens
SKILL.md length
284 words
Files
2
Skills in repo
153
Repo updated
First seen
Licence
MIT

At a glance

Ideogram text-to-image generation with the strongest text rendering in the catalog: generate, edit, remix, upscale, describe, balance.

  • Works in 5 steps: Every generation/edit/remix/upscale… → COST WARNING: Ideogram billing… → Image URLs expire. Download immediately… → …
  • Phrases: ideogram
  • SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
  • Runs Python scripts from its folder

What it does

Ideogram is an agent skill from Anil-matcha/awesome-muse-connectors. Ideogram text-to-image generation with the strongest text rendering in the catalog: generate, edit, remix, upscale, describe, balance. Trigger phrases: ideogram, text in image, thumbnail with words, ideogram generate, magic fill.

Its SKILL.md is about 830 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/ideogram.py`).

It sits in Media & Creative, covering Image generation and Image editing. The repository describes itself as: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes. The licence is MIT.

When your agent uses it

  • Phrases: ideogram
  • Thumbnail with words
  • Ideogram generate

Example prompts

  • “/ideogram”

Requirements

  • Python 3

Workflow steps

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

  1. Every generation/edit/remix/upscale spends balance (~$0.05-0.08/image by model/speed tier). Confirm with Michael before each one.
  2. COST WARNING: Ideogram billing auto-tops-up: it refills to $20 when the balance drops below $10 (configurable). Read balance first so…
  3. Image URLs expire. Download immediately after generation; never store the URL as the artifact.
  4. Default rate limit is 10 in-flight requests. Do not fan out more than that.
  5. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/ideogram.py). Do not print, log, or transmit the key value.

What it can do on your machine

Read from SKILL.md and the folder at commit d6dc5d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

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

  • Network

    No URLs in SKILL.md.

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

  • Credentials

    Names no API keys, tokens, secrets or passwords.

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

Context cost

Ideogram loads about 826 tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 284 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~60
When it runs · the whole SKILL.md, loaded when a task matches
~826

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 Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 284 words, ~826 tokens.

Download SKILL.mdSave it as .claude/skills/ideogram/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
ideogram
description
Ideogram text-to-image generation with the strongest text rendering in the catalog: generate, edit, remix, upscale, describe, balance. Trigger phrases: ideogram, text in image, thumbnail with words, ideogram generate, magic fill.
metadata.includeInPrompt
true
tagline
Ideogram text-to-image generation with the strongest text rendering in the catalog: generate, edit, remix, upscale, describe, balance.
catalog_auth
API key via the secure credential flow
catalog_hosts
api.ideogram.ai

Ideogram

Purpose

Generate images with Ideogram's v3 API: the strongest option in the catalog for text-in-image rendering (thumbnails and carousels with real words), plus Magic Fill editing and style remix, with upscaling and image description on the same key. Use when Michael needs images that contain legible text.

Tooling

All commands go through bin/ideogram.py (multipart form posts):

bash
bin/ideogram.py auth                                                      # verify the API key (free balance read)
bin/ideogram.py balance                                                   # read billing balance (free)
bin/ideogram.py generate --prompt "retro poster that says SUMMER" --json '{"aspect_ratio": "16x9"}'
bin/ideogram.py edit --prompt "replace the sign with OPEN" --image ./sign.png     # Magic Fill edit
bin/ideogram.py remix --prompt "same scene, watercolor style" --image ./scene.png # style transfer
bin/ideogram.py upscale --image ./small.png                               # upscale
bin/ideogram.py describe --image ./photo.png                              # describe an image

generate returns image URLs in the response. Ideogram is SYNCHRONOUS (no job polling), which makes it the simplest image integration in the catalog.

Auth

  • Provider id: ideogram (credential is collected as custom.ideogram)
  • Collection: API key via the secure credential flow (credentials.request_api_access); created in the Ideogram developer dashboard
  • Allowed hosts: api.ideogram.ai
  • Status check: bin/ideogram.py auth (must return "ok": true). The key is sent as the Api-Key header. HEADER NOTE: the research dossier documented "header auth" without naming the header; Api-Key is per Ideogram's published API docs. Verify against developer.ideogram.ai on first live use and correct bin/ideogram.py if it differs.

Operating Rules

  1. Every generation/edit/remix/upscale spends balance (~$0.05-0.08/image by model/speed tier). Confirm with Michael before each one.
  2. COST WARNING: Ideogram billing auto-tops-up: it refills to $20 when the balance drops below $10 (configurable). Read balance first so top-ups never surprise anyone.
  3. Image URLs expire. Download immediately after generation; never store the URL as the artifact.
  4. Default rate limit is 10 in-flight requests. Do not fan out more than that.
  5. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/ideogram.py). Do not print, log, or transmit the key value.

Files

  • SKILL.md
  • bin/ideogram.py

Maturity

🧪 Draft: written from Ideogram's published OpenAPI 3.1 spec via the research dossier; not yet live-tested end-to-end. The Api-Key header name and the /api/v1/billing path need a live check on first use.

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

Files

SKILL.md and 1 other file in connectors/ideogram of Anil-matcha/awesome-muse-connectors.

  • SKILL.md
  • bin/ideogram.py

Open the folder on GitHubat commit d6dc5d8

Compare with similar skills

Ideogram next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ideogram compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ideogram this skillAnil-matcha/awesome-muse-connectors1.3k—~826Automated safety check: PassMIT
AI Image Generation and Editingzhayujie/CowAgent47k—~1.3kAutomated safety check: PassMIT
Generate Imageynulihao/AgentSkillOS61710 repos~1.7kAutomated safety check: NotesNone
GPT Image Generation CLIwuyoscar/GPT-Image2-Skill5.6k—~2.5kAutomated safety check: NotesMIT
NanobananaReScienceLab/opc-skills1.8k1 repos~1.3kAutomated safety check: PassApache-2.0
Native Transparent ImagegenZSeven-W/craft-skills2232 repos~1.1kAutomated safety check: PassApache-2.0

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Questions about Ideogram

What does Ideogram do?

Ideogram text-to-image generation with the strongest text rendering in the catalog: generate, edit, remix, upscale, describe, balance. Ideogram is an agent skill from Anil-matcha/awesome-muse-connectors. Ideogram text-to-image generation with the strongest text rendering in the catalog: generate, edit, remix, upscale, describe, balance.

When should I use Ideogram?

Ideogram fits situations like: phrases: ideogram; thumbnail with words; ideogram generate.

How do I install Ideogram in Claude Code?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill ideogram -a claude-code`. Or copy the skill folder (connectors/ideogram in Anil-matcha/awesome-muse-connectors) into .claude/skills/ideogram in your project. Claude Code loads it when a task matches its description.

How do I install Ideogram in Codex?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill ideogram -a codex`. Or copy the skill folder (connectors/ideogram in Anil-matcha/awesome-muse-connectors) into .agents/skills/ideogram in your project. Codex loads it when a task matches its description.

Can I use Ideogram 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 Anil-matcha/awesome-muse-connectors --skill ideogram -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ideogram, .gemini/skills/ideogram, .github/skills/ideogram and .opencode/skills/ideogram in your project.

What does Ideogram need to run?

Going by SKILL.md and its folder, Ideogram needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Ideogram access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ideogram 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 Ideogram use?

Ideogram is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ideogram use?

About 826 tokens (SKILL.md is roughly 3.3k 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 Ideogram?

Skills that share tags, products or a category with Ideogram: AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), Generate Image (ynulihao/AgentSkillOS, 617 stars), GPT Image Generation CLI (wuyoscar/GPT-Image2-Skill, 5.6k stars) and Nanobanana (ReScienceLab/opc-skills, 1.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ideogram?

Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,334 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.

Source: Anil-matcha/awesome-muse-connectors on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.