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
whats-in-my-bag-editorial-dslr-top-view-photoThis prompt directs an image-generation system to produce a photorealistic, luxury editorial-style DSLR macro photograph from a top-down viewpoint, depicting a realistically scaled miniature woman seated inside an open leather handbag of a specified color, surrounded by neatly arranged personal items. It tightly defines camera settings, composition, pose, l…
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This prompt directs an image-generation system to produce a photorealistic, luxury editorial-style DSLR macro photograph from a top-down viewpoint, depicting a realistically scaled miniature woman seated inside an open leather handbag of a specified color, surrounded by neatly arranged personal items. It tightly defines camera settings, composition, pose, lighting, texture fidelity, and color consistency while enforcing strict realism and anatomy constraints, with the intended outcome being an 8K, cinematic yet natural-looking fashion image that preserves authentic facial features and tactile material detail without stylization, artifacts, or non-photographic rendering.
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 |
|---|---|---|---|
Color_of_bag | Required | (none) |
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:
Color_of_baggemini-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 any required text input or 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 whats-in-my-bag-editorial-dslr-top-view-photo).
Command form:
betterprompt generate whats-in-my-bag-editorial-dslr-top-view-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 whats-in-my-bag-editorial-dslr-top-view-photo \
--input Color_of_bag=<value> \
--image-input-url https://example.com/image1.png \
--model gemini-2.5-flash-image-preview \
--options '{}'