cool-holographic-image

---

name: cool-holographic-image description: This prompt instructs an image-editing/generation model to transform a given image with a cinematic holographic overlay, producing a glossy, high-contrast, iridescent look featuring dreamy rainbow gradients, soft radial light reflections, subtle edge lighting and shadows for depth, and a gentle noise texture. The intended result is an ultra-HD, centered 1:1 composition set against a dark background, emphasizing pink, teal, cyan, and purple hues with smooth, luminous blending. 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-editing/generation model to transform a given image with a cinematic holographic overlay, producing a glossy, high-contrast, iridescent look featuring dreamy rainbow gradients, soft radial light reflections, subtle edge lighting and shadows for depth, and a gentle noise texture. The intended result is an ultra-HD, centered 1:1 composition set against a dark background, emphasizing pink, teal, cyan, and purple hues with smooth, luminous blending.

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	a 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:

• Required images:
  • Exactly 1 images: image 1 (a photo). 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: {"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 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 (a photo)".

Step 2: Run via BetterPrompt CLI

Use the frontmatter's name as the positional argument (for this skill, use cool-holographic-image).

Command form:

betterprompt generate cool-holographic-image \
  [--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: {"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 cool-holographic-image \
  --image-input-url https://example.com/image1.png \
  --model gpt-image-1 \
  --options '{"quality":"medium"}'