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
polaroid-snapshot-duo-exact-face-matchThis prompt instructs an image-editing workflow to transform a provided photo into a square, photoreal instant-film style portrait with a Polaroid-like frame, replacing the background with a softly wrinkled white fabric curtain and adjusting the subjects’ bodies into a very tight hug while keeping both faces exactly the same as the supplied face references.…
Independent GitHub snapshot · Automated classification · Original documentation governs
This prompt instructs an image-editing workflow to transform a provided photo into a square, photoreal instant-film style portrait with a Polaroid-like frame, replacing the background with a softly wrinkled white fabric curtain and adjusting the subjects’ bodies into a very tight hug while keeping both faces exactly the same as the supplied face references. It applies a dim-room direct-flash look with slight motion blur, soft contrast, light vignette, and moderate grain, then reinforces and verifies facial identity with multiple identity-lock modules and automatic retries, and if identity similarity still falls short it composites the original faces back in as a failsafe, producing a clean output with no added text, logos, watermarks, or new props.
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 2 images. You must pass exactly 2 image flags (no more, no fewer), in the order matching the descriptions below.
| Index | Required | Description | Allowed CLI flags |
|---|---|---|---|
| 1 | Yes | a photo of you | --image-input-url <url> or --image-input-path <path> |
| 2 | Yes | a photo of your crush | --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-2.5-flash-image-preview and its available options. Look up gemini-2.5-flash-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: {}.gemini-2.5-flash-image-preview, options {}. 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 of you) and image 2 (a photo of your crush)".
Use the frontmatter's name as the positional argument (for this skill, use polaroid-snapshot-duo-exact-face-match).
Command form:
betterprompt generate polaroid-snapshot-duo-exact-face-match \
[--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-2.5-flash-image-preview.--options and BetterPrompt will use the default options: {}.runId you can use to fetch the result later.Example (using defaults shown above):
betterprompt generate polaroid-snapshot-duo-exact-face-match \
--image-input-url https://example.com/image1.png \
--image-input-path /path/to/image2.png \
--model gemini-2.5-flash-image-preview \
--options '{}'