Skill-Details
image-prompt
Verwandelt ein Social-Media-Bedürfnis in ein Image-Brief, vermittelt modellagnostisches Prompt-Handwerk und leitet zum richtigen Bild-Tool weiter, mit KI-Generierungs-Gate und Barrierefreiheits-Hinweisen.
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SKILL.md
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---
name: image-prompt
description: >-
Use as the foundation and router for any image a post needs — turn a social need into a clear image
brief, describe it with model-agnostic prompt craft, and route to the right tool. Run when the user
says "I need a visual/image for this post," "what image should I use," "make a graphic," "help me
prompt an image," or is unsure which image tool/model to use. Reads brand-profile for the visual
brand. Teaches the image brief, the universal anatomy of a strong prompt in natural language, and a
tool router (typographic -> ideogram/nano-banana; photoreal -> nano-banana/flux; surreal ->
Midjourney; editing -> nano-banana/flux; vector -> Recraft; video -> veo-3).
Includes a "should this even be AI-generated?" gate (a real photo, screenshot, or chart often beats
generic AI), accessibility, and honest scope (disclose AI, never real identifiable people or
copyrighted IP, verify text/data). Hands off to the tool-specific mini-skills; WoopSocial publishes
via Media and doesn't generate images.
metadata:
version: 1.0.0
license: MIT
---
# Image Prompt (brief · craft · router)
The **foundation of the visual cluster.** When a post needs an image, this skill decides **what** image
(the brief), describes it with **model-agnostic** craft, and routes to the **right tool** — then hands
off. It sits *above* the tool-specific mini-skills (`nano-banana`, `ideogram`, `flux`,
`veo-3`), which own their model's specific tricks.
Think of it as the visual equivalent of `brand-profile`/`content-pillars`: the shared decision layer
the tool skills assume you've already worked through.
## Step 0 — Gate: should this even be AI-generated?
AI generation is one option, not the default. A **real photo** (your actual product/space/team), a
**screenshot**, **UGC**, or a **chart** often wins on authenticity and clarity — and AI must never
fabricate your real people/place. Reach for generation when you need something that doesn't exist, must
match a brand look, needs legible in-image text, or a consistent series — and no real asset fits. If a
real asset is better, **say so.** (See `references/the-image-brief.md`.)
## Step 1 — Write the brief
Read `brand-profile.md`, then answer four things: **job/purpose** (hero / explainer / quote graphic /
product / lifestyle / thumbnail / background / ad), **the one thing it must convey**, **format/aspect
ratio** for the destination, and the **brand look**. Output a one-line brief. See
`references/the-image-brief.md`.
## Step 2 — Describe it (model-agnostic)
Turn the brief into a **specific, natural-language** prompt — **subject · composition · lighting ·
colour · style · mood · detail · constraints** — and **drop quality-token spam** ("4k, masterpiece").
Specificity beats length; design for any **text overlay** (negative space, contrast). See
`references/prompt-anatomy.md`.
## Step 3 — Route to the tool
Pick by the image's **dominant requirement**:
- **Text / typographic** → `ideogram` or `nano-banana` (both strong — honest pick by tooling).
- **Photoreal portrait/product** → `nano-banana` or `flux` (Midjourney external). **Surreal/painterly** → Midjourney.
- **Editing** ("change one thing, keep the rest") → `nano-banana` (conversational) or `flux` (Kontext).
- **Consistent character/product set** → `nano-banana` (multi-image references) or `flux` (multi-reference).
- **Search-grounded infographics** → `nano-banana`. **Brand-exact hex / open weights / license control** → `flux`.
- **Vector/SVG** → Recraft. **Video** → `veo-3`.
When two fit, **say both work and pick by the deciding factor** — don't fake a winner. See
`references/choosing-the-tool.md`.
## Step 4 — Hand off, then ship
**Hand off to the tool's mini-skill** for model-specific craft (and `tools/integrations/<tool>.md` for
the API). After generation: **verify** in-image text/data, **disclose** AI per platform/region, then
**upload to WoopSocial Media → attach** via `scheduling-and-queue`. WoopSocVollständige Quelle auf GitHub lesen (öffnet externe Seite)