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
textured-object-rebirthThis prompt instructs the model to retexture the provided image while locking the original shape and preserving key geometric details like contours and depth, then render it as a photorealistic yet surreal studio object. The result is the same silhouette mapped with a desaturated, matte, skin/peel-like material featuring subtle fiber irregularities, lit by …
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This prompt instructs the model to retexture the provided image while locking the original shape and preserving key geometric details like contours and depth, then render it as a photorealistic yet surreal studio object. The result is the same silhouette mapped with a desaturated, matte, skin/peel-like material featuring subtle fiber irregularities, lit by diffused softbox lighting with gentle shadows and slight edge highlights, and placed against a clean beige-to-light-gray gradient backdrop with shallow depth of field at ultra-high resolution.
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 textured-object-rebirth).
Command form:
betterprompt generate textured-object-rebirth \
[--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 textured-object-rebirth \
--image-input-url https://example.com/image1.png \
--model gpt-image-1 \
--options '{"quality":"medium"}'