design-a-dream-garden-for-your-product

---

name: design-a-dream-garden-for-your-product description: This prompt directs an AI to generate a luxury skincare advertisement image set in a dreamy, magical garden, with the product centered on an elegant pedestal and surrounded by softly glowing natural elements. It specifies the environment, lighting, color palette, camera styling, and optional tagline placement to achieve a cinematic, romantic, fairy-tale aesthetic that conveys self-care, beauty, and nature-inspired radiance. compatibility: Requires betterprompt >= 0.1.3 metadata: openclaw: homepage: https://github.com/BetterPromptme/skills emoji: 🧩 requires: anyBins: - betterprompt - bp os: - linux - darwin install: - id: node kind: node package: betterprompt bins: [betterprompt, bp] label: Install BetterPrompt CLI (node)

What it does

This prompt directs an AI to generate a luxury skincare advertisement image set in a dreamy, magical garden, with the product centered on an elegant pedestal and surrounded by softly glowing natural elements. It specifies the environment, lighting, color palette, camera styling, and optional tagline placement to achieve a cinematic, romantic, fairy-tale aesthetic that conveys self-care, beauty, and nature-inspired radiance.

For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md to check out this skill.

Inputs

imageInputs

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		--image-input-url <url> or --image-input-path <path>

Models and options

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".

How to run

Step 1: Collect inputs

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:

• Required images:
  • Exactly 1 images: image 1 (image 1). Images must be provided in this order.
• Optional: model and options.
  • Present the human with the default model gpt-image-1 and its available options. Look up gpt-image-1 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: {"size":"1024x1024","quality":"low"}.
  • If the human does not specify, defaults are used: model gpt-image-1, options {"size":"1024x1024","quality":"low"}. 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 (image 1)".

Step 2: Run via BetterPrompt CLI

Use the frontmatter's name as the positional argument (for this skill, use design-a-dream-garden-for-your-product).

Command form:

betterprompt generate design-a-dream-garden-for-your-product \
  [--image-input-url <url>] \
  [--image-input-path <path>] \
  [--model <model>] \
  [--options <options JSON>] \
  [--json]

Notes:

• Pass each image using --image-input-url or --image-input-path, in the order matching the imageInputs descriptions (image 1 first, then image 2, etc.).
• If the human does not mention a model, omit --model and BetterPrompt will use the default model: gpt-image-1.
• If the human does not mention options, omit --options and BetterPrompt will use the default options: {"size":"1024x1024","quality":"low"}.
• If the run times out, the response will include a runId you can use to fetch the result later.

Example (using defaults shown above):

betterprompt generate design-a-dream-garden-for-your-product \
  --image-input-url https://example.com/image1.png \
  --model gpt-image-1 \
  --options '{"size":"1024x1024","quality":"low"}'