界面已本地化;技能介绍与说明文档按所选语言由 AI 自动翻译,代码、命令、路径和专业术语保留原文,以原作者文档为准。
探索技能
设计与创意 · SKILL.md

luxe-handshot-studio

luxe-handshot-studio

【设计与创意】This prompt instructs an image-generation workflow to produce a hyper-realistic, ultra-high-resolution studio photograph of a single luxury product held in a woman’s hand, using controlled professional lighting and a clean, specified background color. It guides composition, camera/look fidelity, and texture-rendering priorities while enforcing constr…

独立 GitHub 快照 · 自动分类 · 以原作者文档为准

技能说明

GitHub

name: luxe-handshot-studio description: This prompt instructs an image-generation workflow to produce a hyper-realistic, ultra-high-resolution studio photograph of a single luxury product held in a woman’s hand, using controlled professional lighting and a clean, specified background color. It guides composition, camera/look fidelity, and texture-rendering priorities while enforcing constraints such as minimal props, realistic proportions, non-branded presentation, and tasteful, non-suggestive imagery. The outcome is a polished, advertising-ready product shot tailored to designers and marketers, with adjustable product type, lighting intensity, and backdrop tone. 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-generation workflow to produce a hyper-realistic, ultra-high-resolution studio photograph of a single luxury product held in a woman’s hand, using controlled professional lighting and a clean, specified background color. It guides composition, camera/look fidelity, and texture-rendering priorities while enforcing constraints such as minimal props, realistic proportions, non-branded presentation, and tasteful, non-suggestive imagery. The outcome is a polished, advertising-ready product shot tailored to designers and marketers, with adjustable product type, lighting intensity, and backdrop tone.

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 keyRequired?DescriptionDefaults
productOptionalThe featured itemperfume bottle, watch, lipstick
lighting_styleOptionalChoose between soft, medium, or crisp lighting.soft natural glow, medium studio light, crisp high-contrast lighting, side lighting,...
background_colorOptionalspecify studio background tonewhite, beige, charcoal,...

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.

IndexRequiredDescriptionAllowed CLI flags
1YesUpload the product photo--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:

  • Optional text inputs (use defaults if not provided by the human):
    • product (default: perfume bottle, watch, lipstick)
    • lighting_style (default: soft natural glow, medium studio light, crisp high-contrast lighting, side lighting,...)
    • background_color (default: white, beige, charcoal,...)
  • Required images:
    • Exactly 1 images: image 1 (Upload the product photo). Images must be provided in this order.
  • Optional: model and options.
    • Present the human with the default model 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: {}.
    • If the human does not specify, defaults are used: model 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 (Upload the product photo)".

Step 2: Run via BetterPrompt CLI

Use the frontmatter's name as the positional argument (for this skill, use luxe-handshot-studio).

Command form:

betterprompt generate luxe-handshot-studio \
  [--input <key>=<value>] \
  [--image-input-url <url>] \
  [--image-input-path <path>] \
  [--model <model>] \
  [--options <options JSON>] \
  [--json]

Notes:

  • Pass each text input as a separate --input <key>=<value> flag.
  • 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: gemini-2.5-flash-image-preview.
  • If the human does not mention options, omit --options and BetterPrompt will use the default options: {}.
  • 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 luxe-handshot-studio \
  --input 'product=perfume bottle, watch, lipstick' \
  --input 'lighting_style=soft natural glow, medium studio light, crisp high-contrast lighting, side lighting,...' \
  --input 'background_color=white, beige, charcoal,...' \
  --image-input-url https://example.com/image1.png \
  --model gemini-2.5-flash-image-preview \
  --options '{}'
我的收藏