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
christmas-cafe-portraitThis prompt instructs an image model to generate a two-panel vertical collage of the same person in a cozy outdoor Christmas café setting at night, shot at eye level with strong flash in both frames. The top panel shows a waist-up pose beside a decorated tree with hands clasped near the chest, while the bottom panel is a tighter face-and-upper-torso close-u…
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This prompt instructs an image model to generate a two-panel vertical collage of the same person in a cozy outdoor Christmas café setting at night, shot at eye level with strong flash in both frames. The top panel shows a waist-up pose beside a decorated tree with hands clasped near the chest, while the bottom panel is a tighter face-and-upper-torso close-up with the subject cupping her face; both maintain a gentle, subtle smile and direct gaze. It tightly constrains styling (white faux-fur coat and red plush bunny-ear hood), composition (tree on the left, subject on the right), lighting (flash plus warm ambient with sparkling tree lights), and—most importantly—demands an exact, unaltered match to the reference facial identity and natural skin texture, forbidding any beautification or facial changes.
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 | Your 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:
gemini-3-pro-image-preview and its available options. Look up gemini-3-pro-image-preview 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: {"aspectRatio":"3:4","resolution":"1K"}.gemini-3-pro-image-preview, options {"aspectRatio":"3:4","resolution":"1K"}. 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 (Your photo)".
Use the frontmatter's name as the positional argument (for this skill, use christmas-cafe-portrait).
Command form:
betterprompt generate christmas-cafe-portrait \
[--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: gemini-3-pro-image-preview.--options and BetterPrompt will use the default options: {"aspectRatio":"3:4","resolution":"1K"}.runId you can use to fetch the result later.Example (using defaults shown above):
betterprompt generate christmas-cafe-portrait \
--image-input-url https://example.com/image1.png \
--model gemini-3-pro-image-preview \
--options '{"aspectRatio":"3:4","resolution":"1K"}'