ideogram-promptlisted

Prompting technique guide for Ideogram image generation via the connected Ideogram MCP (generate_image, describe_image, remix_image, edit_image). Use whenever the user wants to generate, remix, or edit an image with Ideogram — including moodboards, style-matching a reference image, extracting a visual "recipe" from existing images and reapplying it to a new subject, or getting precise control over color palette, composition, and in-image text. Trigger this even if the user doesn't say "Ideogram" by name but is clearly asking for image generation and the Ideogram MCP tools are the ones available.
devkindhq/ideogram-ai-toolkit · ★ 2 · AI & Automation · score 70

Install: claude install-skill devkindhq/ideogram-ai-toolkit

# Ideogram Prompting Ideogram 4 was trained on structured JSON captions, not plain text — a plain-text prompt gets expanded into that structure by a "magic prompt" step before it ever reaches the model. That gives you two ways to prompt, and picking the right one depends on how much control the user actually wants. ## Two modes **Loose / exploratory** — write a natural-language prompt and let the model's own interpretation (magic prompt) fill in color, lighting, composition. Good for quick ideas, loose briefs, or when the user wants to be surprised. Just call `mcp__ideogram__generate_image` with a `prompt` string; don't over-specify. **Precise** — when the user names an exact palette, a specific composition, or text that must render legibly, write the prompt as a structured caption instead of a vague adjective list. See `references/json-caption-schema.md` for the full schema (aesthetics/lighting/medium/color_palette, bounding-box elements, etc) — either follow its field structure in prose form, or paste the JSON itself into the `prompt` string as an experiment. Note: the connected `generate_image` tool has no explicit `magic_prompt` toggle (unlike `edit_image`, which does), so JSON-in-prompt isn't a guaranteed bypass the way it is in Ideogram's raw API — compare against a well-written prose version and keep whichever renders closer to what was asked for. Either way, the highest-leverage lever is **`color_palette`**: up to 16 uppercase `#RRGGBB` hex codes steer the image'