prompt-to-asset

ui-mockup-prompt

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.

vectorize

Convert a raster image to SVG. Three paths — Recraft hosted vectorization, vtracer (multi-color polygon), potrace (1-bit). Optimizes with SVGO; validates path count as a quality signal.

app-icon

Generate an app icon from a single 1024² master and fan out to iOS (AppIcon.appiconset with squircle-ready 1024 opaque), Android (adaptive foreground + background + Android 13 monochrome), PWA (192/512 + 512 maskable with 80% safe zone), and visionOS (3-layer parallax).

asset-enhancer

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.

asset-validation-debug

Diagnose and repair asset-generation failures. Maps tier-0/1/2 validation codes (checkerboard, missing alpha, safe-zone violation, palette drift, garbled wordmark, low contrast) to concrete repair primitives (matte, inpaint, route change, seed sweep, composite). Applies a retry budget so Claude does not loop on hopeless regenerations.

brand-consistency

Maintain visual coherence across a multi-asset brand set (logo + app icon + favicon + illustrations). Builds BrandBundle (palette, typography, style refs, do-not list), enforces palette per model (Recraft `controls.colors`, Midjourney `--sref`, IP-Adapter, LoRA), validates style similarity with CSD and palette ΔE2000, and promotes accepted assets into the reference set so each new generation tightens the lock.

favicon

Generate a full favicon bundle — favicon.ico (16/32/48 multi-res), icon.svg with prefers-color-scheme dark support, apple-touch-icon.png 180×180 opaque, and PWA 192/512/512-maskable — from a brand mark or a mark prompt.

illustration

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.

logo

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.

og-image

Generate an Open Graph / Twitter Card social unfurler image — 1200×630 JPEG/PNG, <5MB, with deterministic typography. Defaults to Satori + @resvg/resvg-js template rendering (no diffusion). Diffusion is optional and only for the hero art layer composited behind the template.

svg-authoring

Author production-grade inline SVG (logos, favicons, icon packs, stickers, transparent marks) when the P2A `inline_svg` execution mode is selected. Enforces viewBox, path-budget, palette, optical balance, and small-scale legibility rules so the emitted `<svg>` survives `asset_save_inline_svg` validation and renders crisp from 16×16 through 1024×1024.

t2i-prompt-dialect

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.

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