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neoncraft-render-kit

neoncraft-render-kit

This prompt instructs an image-generation model to produce a high-resolution, square-format 3D icon of a user-specified object, rendered in a vibrant neon gradient palette (purples, pinks, blues) with rounded forms, semi-glossy shading, subtle reflections, and soft glow lighting for depth. The expected result is a clean, playful, digitally styled icon on a …

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Documentation de la Skill

GitHub

name: neoncraft-render-kit description: This prompt instructs an image-generation model to produce a high-resolution, square-format 3D icon of a user-specified object, rendered in a vibrant neon gradient palette (purples, pinks, blues) with rounded forms, semi-glossy shading, subtle reflections, and soft glow lighting for depth. The expected result is a clean, playful, digitally styled icon on a black background, with exaggerated proportions as needed and no outlines or surface textures. 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 model to produce a high-resolution, square-format 3D icon of a user-specified object, rendered in a vibrant neon gradient palette (purples, pinks, blues) with rounded forms, semi-glossy shading, subtle reflections, and soft glow lighting for depth. The expected result is a clean, playful, digitally styled icon on a black background, with exaggerated proportions as needed and no outlines or surface textures.

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
Your_ObjectRequired(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:
    • Your_Object
  • 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 neoncraft-render-kit).

Command form:

betterprompt generate neoncraft-render-kit \
  [--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 neoncraft-render-kit \
  --input Your_Object=<value> \
  --model gpt-image-1 \
  --options '{"quality":"medium"}'
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