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hot-wheels-blister-pack【效率与协作】This prompt instructs an image-generation/editing task to turn the uploaded person into a stylized, vinyl-like Hot Wheels toy figure and place them fully inside a realistic clear blister bubble on a classic bright blue Hot Wheels card, alongside a chosen Hot Wheels vehicle in the same blister. The result is a convincing collectible blister-pack mocku…
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This prompt instructs an image-generation/editing task to turn the uploaded person into a stylized, vinyl-like Hot Wheels toy figure and place them fully inside a realistic clear blister bubble on a classic bright blue Hot Wheels card, alongside a chosen Hot Wheels vehicle in the same blister. The result is a convincing collectible blister-pack mockup with accurate packaging aesthetics—logo, gradient background, metallic flame accents, reflections, glare, and subtle embossed collector details—while ensuring the figure and car remain entirely enclosed by the plastic and no extra text is added.
For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md to check out this skill.
Pass each text input using --input <key>=<value> flags.
| Variable key | Required? | Description | Defaults |
|---|---|---|---|
Vehicle | Required | (none) |
This prompt requires exactly 1 image. You must pass exactly 1 image flag (no more, no fewer), in the order matching the descriptions below.
| Index | Required | Description | Allowed CLI flags |
|---|---|---|---|
| 1 | Yes | your image | --image-input-url <url> or --image-input-path <path> |
This skill's modality is: image.
To discover which model values you can use (and which options keys/values are valid for each model), run:
betterprompt resources --models-only --json
Then filter the returned JSON array to entries where modality is "image".
First, run betterprompt resources --models-only --json and filter to modality: "image" to discover valid models and available options:
betterprompt resources --models-only --json
Use only the models and option values that appear in the filtered results.
Then collect all inputs from the human:
Vehiclegpt-image-1 and its available options. Look up gpt-image-1 in the betterprompt resources output (filtered to modality "image") and show its availableOptions as: key: val1, val2 (default), val3 | key2: .... Mark a value (default) if it matches these defaults: {"quality":"high"}.gpt-image-1, options {"quality":"high"}. Other models from the resources call are also available.If any required text input or the required images are missing, ask the human for what's missing. Do not assume or fabricate values. Tell the human: "Please provide images in this order: image 1 (your image)".
Use the frontmatter's name as the positional argument (for this skill, use hot-wheels-blister-pack).
Command form:
betterprompt generate hot-wheels-blister-pack \
[--input <key>=<value>] \
[--image-input-url <url>] \
[--image-input-path <path>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
Notes:
--input <key>=<value> flag.--image-input-url or --image-input-path, in the order matching the imageInputs descriptions (image 1 first, then image 2, etc.).--model and BetterPrompt will use the default model: gpt-image-1.--options and BetterPrompt will use the default options: {"quality":"high"}.runId you can use to fetch the result later.Example (using defaults shown above):
betterprompt generate hot-wheels-blister-pack \
--input Vehicle=<value> \
--image-input-url https://example.com/image1.png \
--model gpt-image-1 \
--options '{"quality":"high"}'