skills/logo/SKILL.md
Generate a production-grade logo (primary brand mark). Returns RGBA PNG master + SVG vector + monochrome variant. Route by text-length and per-model ceiling. Strong-text models render multi-word and even paragraph-length wordmarks reliably; weak-text models composite SVG type post-render.
npx skillsauth add MohamedAbdallah-14/prompt-to-asset logoInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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gpt-image-2, gemini-3-pro-image-preview (Nano Banana Pro), gpt-image-1.5. Include the wordmark in the prompt; composite stays safer for pixel-exact UI copy.ideogram-3 / ideogram-3-turbo, gemini-3.1-flash-image-preview (Nano Banana 2), gpt-image-1, flux-2 family.| text in mark? | vector needed? | primary | fallback |
|---|---|---|---|
| none | yes | Recraft V4 (native SVG) | gpt-image-1.5 → BiRefNet → vtracer |
| none | no | gpt-image-1.5 (background:"transparent") | Ideogram 3 Turbo (dedicated /v1/ideogram-v3/generate-transparent endpoint, rendering_speed:"TURBO") |
| 1–3 words | yes | Ideogram 3 → raster 1024 → BiRefNet → K-means(6) → vtracer → SVGO | Recraft V4 |
| 1–3 words | no | Ideogram 3 | gpt-image-1.5 |
| 4–10 words | yes | flux-2 / gpt-image-2 → raster 1024 → BiRefNet → K-means(6) → vtracer → SVGO | Nano Banana Pro |
| 4–10 words | no | flux-2 family or gpt-image-2 (note: gpt-image-2 has no native RGBA — matte after) | Nano Banana Pro |
| paragraph | any | Nano Banana Pro or gpt-image-2; composite is still safer for pixel-exact UI copy | composite via BrandBundle.typography |
A [flat vector | isometric | brutalist | soft gradient] logo mark representing [SUBJECT, concrete noun phrase].
Centered composition. Clean silhouette, strong tight outline, high contrast.
Palette: [#hex, #hex, #hex] strictly.
["WORDMARK TEXT" in sans-serif, tight tracking | text-free mark].
Solid pure white background. Square 1:1 aspect. 1024x1024.
For SD: prepend masterpiece, vector logo, flat design, minimalist, 8k, .
For Flux: drop all quality modifiers; be concrete about subject and palette.
vtracer --mode polygon → SVGO (conservative preset).gpt-image-1 (different provider).controls.colors or recolor post.200 SVG paths → regenerate with "simpler geometry" or raise K-means color count.
logo/
├── master.png # 1024² RGBA
├── mark.svg # vector
├── mark-mono.svg # monochrome
├── mark-inverse.png # dark-mode variant
└── meta.json # provenance + validations
testing
Translate a UI brief (a page, a screen, a single component, a feature) into a paste-ready prompt for Nano Banana Pro / gpt-image-2 / Ideogram / Flux 2 / Midjourney that produces a designer-grade mockup as visual inspiration — not pixel-spec UI, not AI slop. Use whenever the user asks for "imagine the X page", "mock up the Y screen", "give me a prompt for nano banana / gpt image 2 to design", "describe this UI for an image model", "draft a prompt for the designer to take inspiration from", or any time the agent needs to produce a UI image-gen prompt for a real product surface (pricing page, dashboard, settings, onboarding, mobile screen, marketing hero, single component). Be pushy — trigger even when the user says "design" without "prompt", or "show me what X could look like" — the agent should reach for this skill before hand-rolling a brief.
testing
Translate a UI brief (a page, a screen, a single component, a feature) into a paste-ready prompt for Nano Banana Pro / gpt-image-2 / Ideogram / Flux 2 / Midjourney that produces a designer-grade mockup as visual inspiration — not pixel-spec UI, not AI slop. Use whenever the user asks for "imagine the X page", "mock up the Y screen", "give me a prompt for nano banana / gpt image 2 to design", "describe this UI for an image model", "draft a prompt for the designer to take inspiration from", or any time the agent needs to produce a UI image-gen prompt for a real product surface (pricing page, dashboard, settings, onboarding, mobile screen, marketing hero, single component). Be pushy — trigger even when the user says "design" without "prompt", or "show me what X could look like" — the agent should reach for this skill before hand-rolling a brief.
development
Rewrite an asset brief into the exact prompt dialect of the target image model (OpenAI gpt-image-1, Google Imagen/Gemini, SDXL, Flux.1/Flux.2, Midjourney, Ideogram, Recraft). Handles negative-prompt translation, token budgets, transparency quirks, brand-palette injection, and text-in-image ceilings so that `asset_generate_*` submissions succeed on the first try.
development
Classify a software-asset brief (logo, app icon, favicon, OG image, illustration, splash, icon pack, transparent mark), route to the right image model, rewrite the prompt in the target model's dialect, pick an execution mode (inline_svg / external_prompt_only / api) based on what's actually available, and run the pipeline. Use whenever the user asks for any visual asset for a software product.