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-post-workout-glowThis prompt instructs an AI image generator to produce a high-resolution, photorealistic vertical handheld selfie of a young woman walking mid-motion on a quiet residential street, dressed in coordinated sporty attire with specific accessories, hair, and subtle natural makeup, captured in soft overcast daylight. It tightly controls composition, environment …
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This prompt instructs an AI image generator to produce a high-resolution, photorealistic vertical handheld selfie of a young woman walking mid-motion on a quiet residential street, dressed in coordinated sporty attire with specific accessories, hair, and subtle natural makeup, captured in soft overcast daylight. It tightly controls composition, environment details, color palette, and camera feel while enforcing strict identity preservation and realistic texture/lighting, resulting in a natural, casual urban lifestyle portrait without stylization, reshaping, or added text.
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 the-post-workout-glow).
Command form:
betterprompt generate the-post-workout-glow \
[--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 the-post-workout-glow \
--image-input-url https://example.com/image1.png \
--model gemini-3-pro-image-preview \
--options '{"aspectRatio":"3:4","resolution":"1K"}'