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Image prompt

Skill social-media-skills/skills/skills/image-prompt

106 social media skills for AI agents - strategy, writing, video, design, platform growth, publishing, and analytics. Works with Claude, Cursor, OpenClaw, Hermes & 40+ agents.

Install
npx -y skills add social-media-skills/skills --skill image-prompt

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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  • 20 days oldThe repository was created 20 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

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.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

6.4 KB, as published. Nobody here has run it

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 / typographicideogram or nano-banana (both strong — honest pick by tooling).
  • Photoreal portrait/productnano-banana or flux (Midjourney external). Surreal/painterly → Midjourney.
  • Editing ("change one thing, keep the rest") → nano-banana (conversational) or flux (Kontext).
  • Consistent character/product setnano-banana (multi-image references) or flux (multi-reference).
  • Search-grounded infographicsnano-banana. Brand-exact hex / open weights / license controlflux.
  • Vector/SVG → Recraft. Videoveo-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.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.