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
elevator-noir-absolute-face-lockThis prompt instructs an AI image editor to transform a provided reference photo into a high-end, photoreal editorial portrait of the same person standing relaxed inside a modern stainless-steel elevator with soft fluorescent ceiling lighting, while enforcing strict identity preservation and wardrobe constraints (all-black oversized blazer, long skirt-like …
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This prompt instructs an AI image editor to transform a provided reference photo into a high-end, photoreal editorial portrait of the same person standing relaxed inside a modern stainless-steel elevator with soft fluorescent ceiling lighting, while enforcing strict identity preservation and wardrobe constraints (all-black oversized blazer, long skirt-like bottom, sunglasses, takeaway cup), controlling composition and mood, and rejecting unusable reference images or any forbidden elements such as pants, scarves, readable logos, excessive skin smoothing, or distorted facial reflections.
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 elevator-noir-absolute-face-lock).
Command form:
betterprompt generate elevator-noir-absolute-face-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 elevator-noir-absolute-face-lock \
--image-input-url https://example.com/image1.png \
--model gemini-2.5-flash-image-preview \
--options '{}'