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Single-image generation skill for posters, key art, and editorial illustrations. Defaults to gpt-image-2 but is provider-agnostic — the same workflow drives Flux, Imagen, or Midjourney via the active upstream tooling. Output is one or more PNG/JPEG files saved to the project folder.
2 of 23 test cases passed with the skill.
Tokens, turns and time describe resource use, not a dollar price.
Lift withheld: 4 comparable cases; this report requires 8.
A test case the skill fixed. Same model, same prompt, with and without the skill.
Please write the raw XML source code for an SVG icon of a shopping cart so we can embed it inline in our React components.
| Checked | Without skill | With skill |
|---|---|---|
| Outputs clean SVG XML markup for a shopping cart icon | Missed | Passed |
| Refrains from triggering the bitmap image poster CLI renderer | Passed | Passed |
The instructions your model reads when the skill loads.
Produce one finished image asset per turn unless the user asks for variations. Image generation rewards a tight, structured prompt — your job is to assemble that prompt from the user's brief, then dispatch.
image-poster/
├── SKILL.md ← you're reading this
└── example.html ← what the resulting card looks like in Examples
The active project carries imageModel, imageAspect, and (optional)
imageStyle notes. Use them as the upstream model + canvas + style
anchor. When a value is not provided, infer a safe default from the brief and
media contract. Ask only when the choice would materially change the requested
result and no safe default can be inferred.
Plan in this exact order before calling any tool:
test cases passed with the skill
More skills from the same source and nearby in the registry, with their headline benchmark lift.