菜单
Generate an in-product illustration (empty state, onboarding, hero, spot art) that obeys a brand bundle. Uses IP-Adapter / LoRA / Recraft style_id / Flux.2 brand refs for consistency across a set; validates palette ΔE2000 and style adherence.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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.
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.
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.
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.
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.
Produce a truly RGBA-transparent asset from a brief. Handles the
| name | illustration |
| description | Generate an in-product illustration (empty state, onboarding, hero, spot art) that obeys a brand bundle. Uses IP-Adapter / LoRA / Recraft style_id / Flux.2 brand refs for consistency across a set; validates palette ΔE2000 and style adherence. |
| trigger_phrases | ["illustration","empty state image","onboarding graphic","spot illustration","hero image"] |
A single illustration is easy. A set of twelve in the same style is the hard problem. Research 10 + 15: prompt words drift; reference images do not. Any illustration skill must inject a brand style reference at every call.
| Model | Brand lock mechanism | Best for |
|---|---|---|
| Flux Pro / Flux.2 | reference_images[] (up to 8 in Flux.2) + brand LoRA | Photoreal, stylized 3D, brand illustration sets |
| SDXL + brand LoRA | trained LoRA (6d recipe, ~5k steps on 20 images) | Bespoke brand style, open-weight |
| Recraft V3 | style_id (brand magic) | Flat vector, editorial illustration |
| Ideogram 3 | style codes | Loose "same vibe" — not strict lock |
| Midjourney v6/v7 | --sref / --cref / --mref | Concept work; no API, community wrappers only |
gpt-image-1 | input_image[] | Edit / composite flows |
First illustration in a set is human-gated. Once approved, its style becomes the reference injected into all subsequent generations.
illustration prompt =
[SUBJECT + SCENE from brief]
+ [style anchor: "in the style of the provided reference images"]
+ [palette: exact hex list from brand]
+ [do_not list as positive anchors: "flat matte surfaces" not "no glossy plastic"]
+ [typography reminder: "no text, no labels"]
+ [technical constraints: aspect, resolution, composition]
+ reference_images[]: [style_ref_01.png, style_ref_02.png, (prior approved illustration).png]
+ LoRA handle / style_id / --sref
An illustration of [SUBJECT: concrete noun phrase] in a [SCENE: clear action/context].
Composition: [centered | rule-of-thirds | off-center-left]. Subject occupies ~60% of frame.
Style: in the style of the provided reference images. Flat vector with soft gradients.
Line weight consistent with references.
Palette strictly limited to: [#hex, #hex, #hex, #hex, #hex].
Materials: matte surfaces, soft ambient lighting, no rim lights, no lens flare.
No text, no labels, no UI elements.
[aspect ratio]. 2048x1280 resolution.
Drop quality modifiers on Flux (no masterpiece, 8k — hurts adherence). Keep them on SD.
Workflow for generating N illustrations:
illustrations/
├── empty-state-projects.png
├── empty-state-tasks.png
├── onboarding-welcome.png
└── meta.json # includes provenance + "set coherence score" across the batch