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
urban-frame-identity-lockThis prompt instructs an image-generation workflow to create a vertical, photoreal 35mm film–style fashion editorial portrait set on a modern urban street, using a provided reference face and enforcing strict identity preservation. It defines wardrobe, pose, expression, framing, lighting, color palette, and film grain characteristics while prohibiting any c…
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This prompt instructs an image-generation workflow to create a vertical, photoreal 35mm film–style fashion editorial portrait set on a modern urban street, using a provided reference face and enforcing strict identity preservation. It defines wardrobe, pose, expression, framing, lighting, color palette, and film grain characteristics while prohibiting any changes to facial attributes, gender expression, hair, skin texture, or added makeup/logos/text. The intended outcome is a refined, natural-looking city editorial portrait with clear fine grain and balanced daylight contrast, and it halts to request a clearer reference image if the face is not adequately visible.
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 | A portrail 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-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 portrail photo)".
Use the frontmatter's name as the positional argument (for this skill, use urban-frame-identity-lock).
Command form:
betterprompt generate urban-frame-identity-lock \
[--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 urban-frame-identity-lock \
--image-input-url https://example.com/image1.png \
--model gemini-2.5-flash-image-preview \
--options '{}'