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
the-reference-to-poses-is-very-good-high-accuracy-though-theres-a-chance-of-drawing-a-cardThis prompt instructs the AI to create a studio-quality composite image by taking the subject/character from the first image and reposing them to match the stance and body positioning shown in the second image. The result is a professionally lit, polished studio shot featuring the original character but adopting the exact pose from the reference, maintainin…
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This prompt instructs the AI to create a studio-quality composite image by taking the subject/character from the first image and reposing them to match the stance and body positioning shown in the second image. The result is a professionally lit, polished studio shot featuring the original character but adopting the exact pose from the reference, maintaining a cohesive, high-end photographic look.
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 pose | --image-input-url <url> or --image-input-path <path> |
| 2 | Yes | a photo character | --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 pose) and image 2 (a photo character)".
Use the frontmatter's name as the positional argument (for this skill, use the-reference-to-poses-is-very-good-high-accuracy-though-theres-a-chance-of-drawing-a-card).
Command form:
betterprompt generate the-reference-to-poses-is-very-good-high-accuracy-though-theres-a-chance-of-drawing-a-card \
[--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 the-reference-to-poses-is-very-good-high-accuracy-though-theres-a-chance-of-drawing-a-card \
--image-input-url https://example.com/image1.png \
--image-input-path /path/to/image2.png \
--model gemini-2.5-flash-image-preview \
--options '{}'