Install
$ agentstack add skill-social-media-skills-skills-image-prompt ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
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 →
ideogramornano-banana(both strong — honest pick by tooling). - Photoreal portrait/product →
nano-bananaorflux(Midjourney external). Surreal/painterly → Midjourney. - Editing ("change one thing, keep the rest") →
nano-banana(conversational) orflux(Kontext). - Consistent character/product set →
nano-banana(multi-image references) orflux(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/.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.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: social-media-skills
- Source: social-media-skills/skills
- License: MIT
- Homepage: https://social-media-skills.com
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.