imagelisted

# Image Prompting — Nano Banana & GPT Image 2 This skill writes image prompts. It does not generate images. The output is: model name + quality / size / aspect ratio + the prompt itself. The body of this SKILL.md is intentionally thin so you cannot fake a result by reading it alone. The actual rules — what the models reward, what they punish, how to phrase a 5-slot template, when to add `quality: high`, when to use image grounding — live only in the reference files. --- # Mandatory reading order — DO NOT WRITE A PROMPT WITHOUT THIS Past attempts to write prompts directly from this skill body produced lazy, generic results. Each model has its own physics; common rules collapse into mush when applied without model-specific syntax. Read in this order before producing any prompt: ### Step 1 — always read first → [models.md](references/models.md) Decide: Nano Banana (NB2 or NBP) or GPT Image 2. The choice changes the prompt syntax fundamentally — natural-language paragraphs vs. labeled 5-slot template, quality settings, which features exist (image grounding only on NB, EXACT TEXT discipline only on GPT Image, etc.). If the user named a model — confirm and proceed. If not — pick using the table in `models.md`, then state your choice in the output header. ### Step 2 — read **one** model file (the one you picked) - **Nano Banana** → [nano-banana.md](references/nano-banana.md) Image grounding for real locations. Extreme aspect ratios (1:8, 8:1, 4:1). Thinking mode. JSON fo