Image Prompting, Nano Banana & GPT Image 2.5

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.

Route first, is this actually an image-prompt task?

• Motion, clips, montage (Seedance, Kling, Veo, any image-to-video): use the sibling video skill. This skill's storyboard and keyframe outputs feed it.
• No idea or script yet (user wants a concept or an ad scenario, not a picture): if the creative-director skill is installed, start there, it develops ideas and scripts for commercials and beyond (github.com/smixs/creative-director-skill).
• A concrete image is needed, this skill. Continue below.

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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

Decide: Nano Banana (NB2 or NBP) or GPT Image 2.5 (Flare for speed, Sunburst for precision edits). 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)