Ideogram logo

Ideogram

Organization
social-media-skills
ideogram

Use to write great prompts for Ideogram (Ideogram 4.0) to generate design-grade images for social media — the image-prompt-craft mini-skill for typography + layout, sibling to nano-banana under the image-prompt router. Run when the user wants an Ideogram / AI image prompt where TEXT and LAYOUT matter: quote cards, carousel covers, posters, logos/wordmark concepts, signage, ads with headlines, or any image that must say words correctly. Reads brand-profile for style/palette. Ideogram's standouts: best-in-class in-image text rendering, structured JSON prompting (bounding boxes, hex palettes), native 2K, transparency, and Layerize Text. Also covers the Ideogram app-editor workflow (Canvas, Magic Fill, Extend, Style References). Honest: review rendered text, disclose AI images and sign with C2PA, never generate real identifiable people or copyrighted characters/IP/logos. The API/connection and the generate -> upload to WoopSocial Media -> attach flow live in tools/integrations/ideogram.md.

Overview

Publishersocial-media-skills
Repositoryskills
Skill nameideogram
Stars
215
Forks
44
Bundled files
6
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by social-media-skills on GitHub. Read the source before you install it.

Installation

Install the Ideogram AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/social-media-skills/skills/tree/main/skills/ideogram
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/social-media-skills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/ideogram .claude/skills/ideogram
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ideogram in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ideogram on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ideogram is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Ideogram (image prompt craft)

Write prompts that get design-grade images with correct text and deliberate layout out of Ideogram (Ideogram 4.0). This is the prompt-craft layer of a three-layer setup, and the typography/layout sibling to nano-banana under the image-prompt router.

  • Connection/API (per-image pricing, MCP, the generate → upload to WoopSocial Media → attach flow) → tools/integrations/ideogram.md.
  • Prompt craft (this skill) → how to direct the right asset well.
  • Router → image-prompt picks the tool for the job.

This skill covers both lanes: generation prompt-craft (below) and the Ideogram app-editor workflow (Canvas, Magic Fill, Extend, Style References, Magic Prompt, Layerize) — for in-editor work, see references/app-editor-and-canvas.md. Re-verify model/specs quarterly.

Reach for Ideogram when… (match the job)

Its real strengths: in-image text rendering (the standout — legible, correct typography), deterministic layout (bounding-box placement), brand-accurate color (hex palettes), native 2K, and transparency (Background Remover). Reach elsewhere for conversational edits / pure photoreal scenes (→ nano-banana) or specific art house looks (→ the photoreal branch). Don't default it to every image. (Details: references/when-and-how-to-prompt.md.)

Step 0 — Read the brand + the job

Load brand-profile.md (palette as hex, type feel, do/don't). Identify the job (quote card / carousel cover / poster / logo concept / ad / signage) and the aspect ratio (4:5, 9:16, 1:1).

Step 1 — Direct a layout, not just a scene

Describe like a designer: subject/scene/style · text elements (exact string + styling + placement) · hex palette · layout/hierarchy · format (2K, aspect). Don't bury copy in a vague sentence. Ground in the brand. See references/when-and-how-to-prompt.md.

Step 2 — Use the superpower: structured JSON

Ideogram 4.0 is JSON-native. For exact, repeatable layout/text/color, write structured JSON: per-element bounding boxes, hex palette (up to ~16), and each text element's **literal string

  • visual styling**. Casual input works via magic-prompt (it expands to JSON). See references/json-prompting-and-layout.md.

Step 3 — Text, transparency, recipes

  • Text: ~0.97 OCR, multilingual, multi-line, logos/signage — but review every render.
  • Transparency: Background Remover → clean alpha cutout. Layerize Text (live, beta) turns rendered text into editable layers — restyle/rewrite copy without regenerating; works best on clear, straight type. 2K output; aspect ratios in multiples of 16.
  • Pick a recipe (quote card, carousel cover, logo concept, ad, poster). See references/text-rendering-and-recipes.md.

Step 4 — Iterate cheaply, then verify, disclose, ship

  • Iterate on Turbo / magic-prompt to lock layout; finalize on Quality with refined JSON. Per-image pricing — prompt/layout precision is the cost + quality lever.
  • Verify the rendered text and composition before publishing.
  • Disclose AI images (EU AI Act Article 50, California AB 853) and sign with C2PA; never pass an AI image off as a real photo. Open weights are non-commercial (commercial → plan/API).
  • Ship: generate per the integration guide → upload to WoopSocial Media → attach via scheduling-and-queue. WoopSocial doesn't generate images.

Quality bar — self-check

  • Did I match the tool to the job (route conversational/photoreal to nano-banana)?
  • Are text elements typed (exact string + styling + placement), with a hex palette and 2K/ aspect set, brand-grounded?
  • Did I use JSON where layout/text precision matters (and magic-prompt for casual)?
  • Did I plan iterate-cheap → finalize, and verify the rendered text?
  • Did I handle disclosure + C2PA, non-commercial license, and refuse real people / IP / logos?
  • Did I point to tools/integrations/ideogram.md for the API + WoopSocial flow (no claim WoopSocial generates images)?

Edge cases & pushback

  • "Exact headline + brand colors + placement" → structured JSON (bounding boxes + hex palette).
  • Conversational "now change the background" → route to nano-banana; Ideogram is layout-first.
  • Real person / copyrighted IP or logo / "post as a real photo" → refuse; disclose + C2PA; offer an original/owned alternative.
  • "Editable text layers" → Layerize Text is live (beta, all plans + API endpoint**)** — best on clear, straight standard type; curved/decorative text may not be detected.
  • "Generate it in WoopSocial" → WoopSocial doesn't generate; this prompts Ideogram, then the image is uploaded to Media and attached.
  • Long paragraph of text in-image → keep lines short, hierarchy clear; verify the render.

Related

  • tools/integrations/ideogram.md — API/pricing/MCP, the upload-to-WoopSocial flow.
  • image-prompt — the router; nano-banana — the conversational/photoreal image sibling.
  • brand-profile — the visual brand; carousel-writer, caption-writer, hook-writer — copy that pairs with the asset; veo-3 — animate a still into video (image-to-video).
  • scheduling-and-queue — attach the image to a post and publish.

References

  • references/when-and-how-to-prompt.md — when to reach for Ideogram vs other tools, and the prompt anatomy.
  • references/json-prompting-and-layout.md — the 4.0 differentiator: structured JSON, bounding boxes, palettes.
  • references/text-rendering-and-recipes.md — the text superpower, transparency/2K, social recipes.
  • references/app-editor-and-canvas.md — the in-app editor workflow: Canvas, Magic Fill, Extend, Style References, Magic Prompt, brand models.
  • references/examples.md — weak→strong, a JSON layout, a text-heavy card, and honest scope.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ideogram AI skill do?

Use to write great prompts for Ideogram (Ideogram 4.0) to generate design-grade images for social media — the image-prompt-craft mini-skill for typography + layout, sibling to nano-banana under the image-prompt router. Run when the user wants an Ideogram / AI image prompt where TEXT and LAYOUT matter: quote cards, carousel covers, posters, logos/wordmark concepts, signage, ads with headlines, or any image that must say words correctly. Reads brand-profile for style/palette. Ideogram's standouts: best-in-class in-image text rendering, structured JSON prompting (bounding boxes, hex palettes),...

Why use Ideogram on TypingMind?

Because you install it once and use it with any model. Ideogram is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ideogram in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/social-media-skills/skills/tree/main/skills/ideogram. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ideogram?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ideogram?

As many as you like. As long as a model supports skills, you can use Ideogram with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ideogram AI skill free?

Yes. It is published on GitHub by social-media-skills under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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