t2i-prompt-dialectlisted

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.
MohamedAbdallah-14/prompt-to-asset · ★ 7 · AI & Automation · score 74

Install: claude install-skill MohamedAbdallah-14/prompt-to-asset

# T2I prompt dialect Runs between `asset_enhance_prompt()` and `asset_generate_*()`. Takes a normalized brief plus a target model and emits a prompt that honors that model's syntax, token budget, and quirks. ## Per-model rules (quick card, verified Apr 2026) | Model | Grammar | Token / char ceiling | Negative prompt | Transparency | Text ceiling | |---|---|---|---|---|---| | `gpt-image-2` | Prose | ~100 words | silently ignored | **NOT supported — `background:"transparent"` 400s** (regression vs 1.5) — route transparent jobs to gpt-image-1.5 instead | ~80 chars / paragraph (~99% accuracy per third-party tests) | | `gpt-image-1.5` | Prose | ~100 words | silently ignored | API param `background: "transparent"` | dense text ~60 chars (LM Arena #1) | | `gpt-image-1` | Prose | ~100 words | silently ignored | API param `background: "transparent"` | ~50 chars / ≤5 words | | Imagen 4 (Fast/Standard/Ultra) | Narrative prose, ≥30 words suppresses auto-rewriter | unbounded | **`negativePrompt` accepted on Vertex AI; ignored on Gemini API** | never request in prompt (renders checkerboard as RGB) | ≤25 chars per Google's own guidance | | Gemini 3.1 Flash Image (Nano Banana 2) | Prose | unbounded | ignored | renders checkerboard | ~50 chars / ~90% accuracy (#1 Image Arena at launch — strong-text, not weak) | | Gemini 3 Pro Image (Nano Banana Pro) | Prose | unbounded | ignored | renders checkerboard | paragraph-length reliable (~94-96% accuracy) | | SD 1.5 / SDXL | Tag-soup, comma-separa