| name | ideogram |
| description | 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. |
| metadata | {"version":"1.0.0","license":"MIT"} |
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.
