pastel-geometry-product-shot

---

name: pastel-geometry-product-shot description: This prompt instructs an image model to generate a square, high-end editorial product photograph featuring a minimalist product staged on pastel geometric pedestals against a soft gradient background, with complementary natural ingredients/textures arranged on their own coordinated stands. It specifies a modern premium composition with 3D realism, subtle surface detail, and professional studio lighting—diffused from the right—with diagonal leaf-shadow patterns to mimic filtered sunlight, resulting in a clean, balanced, high-resolution hero image suitable for luxury branding. 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 instructs an image model to generate a square, high-end editorial product photograph featuring a minimalist product staged on pastel geometric pedestals against a soft gradient background, with complementary natural ingredients/textures arranged on their own coordinated stands. It specifies a modern premium composition with 3D realism, subtle surface detail, and professional studio lighting—diffused from the right—with diagonal leaf-shadow patterns to mimic filtered sunlight, resulting in a clean, balanced, high-resolution hero image suitable for luxury branding.

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

Inputs

textInputs

Pass each text input using --input <key>=<value> flags.

Variable key	Required?	Description	Defaults
PRODUCT	Required		(none)
BACKGROUND_COLOR	Required		(none)
NATURAL_INGREDIENTS_OR_TEXTURES	Required		(none)

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 text inputs:
  • PRODUCT
  • BACKGROUND_COLOR
  • NATURAL_INGREDIENTS_OR_TEXTURES
• 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: {"quality":"medium"}.
  • If the human does not specify, defaults are used: model gpt-image-1, options {"quality":"medium"}. Other models from the resources call are also available.

If any required text input is missing, ask the human for what's missing. Do not assume or fabricate values.

Step 2: Run via BetterPrompt CLI

Use the frontmatter's name as the positional argument (for this skill, use pastel-geometry-product-shot).

Command form:

betterprompt generate pastel-geometry-product-shot \
  [--input <key>=<value>] \
  [--model <model>] \
  [--options <options JSON>] \
  [--json]

Notes:

• Pass each text input as a separate --input <key>=<value> flag.
• 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: {"quality":"medium"}.
• 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 pastel-geometry-product-shot \
  --input PRODUCT=<value> \
  --input BACKGROUND_COLOR=<value> \
  --input NATURAL_INGREDIENTS_OR_TEXTURES=<value> \
  --model gpt-image-1 \
  --options '{"quality":"medium"}'