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image-prompt — Claude Code skill: what it does, how to install

Shapes visual briefs for social posts, prevents pointless AI generation, crafts clean natural prompts, and routes requests to the right image engine.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add social-media-skills/skills --skill image-prompt -a claude-code
Open on GitHub

What image-prompt does

This skill serves as the primary router for visual content across social media channels. Before generating anything, it checks if AI is actually needed. Real team photos or product screenshots regularly outperform synthetic graphics, so the skill stops fake assets early. When synthesis makes sense, it reads brand-profile.md to define the core purpose, aspect ratio, main message, and brand visual tone.

The skill then writes a natural language prompt without hype tokens like "4k" or "masterpiece". It plans negative space for text overlays and defines lighting alongside subject details. Finished briefs route to dedicated engines: typography goes to ideogram or nano-banana, vector art lands in Recraft, video moves to veo-3, while photorealism and strict hex control route to flux.

Publishing through WoopSocial handles queuing and media attachments. The platform cannot generate images on its own. Because of this limitation, the skill hands off prompts to external models and enforces manual text verification before scheduling.

What it helps with

  • filter out unnecessary AI generation in favor of real photos or charts
  • produce a concise image brief based on brand-profile.md
  • strip junk tokens like "4k" or "masterpiece" from prompt descriptions
  • pick the right generator between flux, ideogram, Recraft, or veo-3

Example prompts for the agent

  • I need a visual for a post announcing our new product update
  • Help me write a prompt for an image with readable text
  • Which tool should I use to generate vector icons for a carousel?

How to install image-prompt

1Skills CLI (Vercel)

npx skills add social-media-skills/skills --skill image-prompt -a claude-code

2Manually: put the files in place

~/.claude/skills/image-prompt/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/image-prompt/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about image-prompt

How do I install image-prompt in Claude Code?

Run npx skills add social-media-skills/skills --skill image-prompt -a claude-code.

What does image-prompt do?

It determines whether an image needs AI generation, drafts a clear natural prompt, and directs the task to the right visual tool.

How does the skill route between different image tools?

Routing follows the dominant requirement: in-image text moves to ideogram or nano-banana, vector work goes to Recraft, video uses veo-3, and photorealism or brand hex colors route to flux.

Source text

SKILL.md · MIT
---
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`. WoopSocial publishes; it **doesn't
generate**.

## Cross-cutting (always)

- **Disclose AI** per platform/region (Meta "Made with AI", EU AI Act). **Watermark behaviour varies by
  tool** (SynthID on Google tools; none enforced on Ideogram) — don't rely on it for disclosure.
- **No real people / no IP** — no real identifiable individuals, copyrighted characters, or trademarked
  logos; original directions only.
- **Verify** in-image text and data before publishing.
- **Accessibility** — contrast + legibility on mobile; leave room for overlays.

## Quality bar — self-check

- Did I **gate** (real asset vs AI) before generating?
- Did I write a **brief** (job + the one thing + format + brand) and a **specific, natural-language**
  prompt (no token spam)?
- Did I **route by the dominant requirement** with an honest which-tool read, and **hand off**?
- Did I design for **overlays/accessibility**, and cover **disclosure, IP, and verification**?
- Did I keep WoopSocial honest (publishes via Media; doesn't generate)?

## Edge cases & pushback

- **"Just write a cool image prompt"** → build the brief first; purpose before prompt.
- **"4k masterpiece ultra-detailed"** → rewrite into a specific scene; drop quality tokens.
- **"Generate my real cafe/staff"** → use a real photo; don't fabricate real people/place.
- **"Base it on [studio]'s characters" / a real person** → refuse IP/real people; original direction.
- **"Which model — A or B?"** → honest, tooling-based answer; both can be right.
- **"Generate it in WoopSocial"** → WoopSocial doesn't generate; route to a tool, then upload + attach.

## Related

- `nano-banana`, `ideogram`, `flux`, `veo-3` — the tool-specific mini-skills this routes/hands off to.
- `tools/integrations/*` — the connection/API for each tool; `brand-profile` — the visual brand.
- `carousel-writer`, `reels-script`, `caption-writer`/`hook-writer` — consumers (image-prompt-pack / overlay copy).
- `scheduling-and-queue` — upload the asset to Media and attach to a post.

## References

- `references/the-image-brief.md` — the "should this be AI?" gate and the four-question brief.
- `references/prompt-anatomy.md` — the universal, model-agnostic anatomy of a strong prompt.
- `references/choosing-the-tool.md` — the router/decision tree and honest which-tool calls.
- `references/examples.md` — end-to-end flows, weak→strong, the don't-generate gate, and honest scope.

© social-media-skills · MIT · social-media-skills/skills

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