executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
render-me-pixarThis prompt instructs an image-generation workflow to take an uploaded portrait and convert it into a Pixar-inspired 3D animated character by preserving the person’s defining facial traits (hair, skin tone, eye shape, and face structure) while enhancing them with stylized cartoon proportions. It specifies the desired look and rendering outcome—soft skin wit…
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This prompt instructs an image-generation workflow to take an uploaded portrait and convert it into a Pixar-inspired 3D animated character by preserving the person’s defining facial traits (hair, skin tone, eye shape, and face structure) while enhancing them with stylized cartoon proportions. It specifies the desired look and rendering outcome—soft skin with subtle blush, slightly exaggerated ears and a rounded nose, natural soft lighting, a clean alpha-style background, an ultra-detailed Octane-like cinematic finish, and a vertical 2:3 upper-body composition with a vibrant, whimsical tone.
For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md to check out this skill.
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 | a photo | --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:
gpt-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":"medium"}.gpt-image-1, options {"quality":"medium"}. Other models from the resources call are also available.If 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 (a photo)".
Use the frontmatter's name as the positional argument (for this skill, use render-me-pixar).
Command form:
betterprompt generate render-me-pixar \
[--image-input-url <url>] \
[--image-input-path <path>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
Notes:
--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":"medium"}.runId you can use to fetch the result later.Example (using defaults shown above):
betterprompt generate render-me-pixar \
--image-input-url https://example.com/image1.png \
--model gpt-image-1 \
--options '{"quality":"medium"}'