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-tree-film-style-photoThis prompt instructs the AI to take a user-uploaded photo (optionally matching a specified single-person pose) and transform it into a realistic, festive Christmas portrait where the subject is wrapped like a Christmas tree with snug, depth-aware white crayon ribbon spirals, red/green crayon ornaments, and a yellow crayon star above the head, all rendered …
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This prompt instructs the AI to take a user-uploaded photo (optionally matching a specified single-person pose) and transform it into a realistic, festive Christmas portrait where the subject is wrapped like a Christmas tree with snug, depth-aware white crayon ribbon spirals, red/green crayon ornaments, and a yellow crayon star above the head, all rendered with imperfect waxy crayon texture. The result is composited into an outside-at-midnight city street setting and graded to emulate warm Kodak 200 film shot on a Fuji point-and-shoot, including analog-flash lighting, soft halation, and natural film grain while preserving the person’s facial identity.
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 |
|---|---|---|---|
pose | Optional | Describe the pose you want. | hands in pockets |
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 | Upload your clear photo. Best results if the photo contains one person only. | --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:
pose (default: hands in pockets)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 (Upload your clear photo. Best results if the photo contains one person only.)".
Use the frontmatter's name as the positional argument (for this skill, use christmas-tree-film-style-photo).
Command form:
betterprompt generate christmas-tree-film-style-photo \
[--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: 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 christmas-tree-film-style-photo \
--input 'pose=hands in pockets' \
--image-input-url https://example.com/image1.png \
--model gemini-2.5-flash-image-preview \
--options '{}'