Agent skill
turn-images-into-dreamy-iridescent
This prompt instructs the AI to retexture the attached image by applying an iridescent, ethereal sky-gradient color scheme (sky blue to lavender to pale pink with soft white edging) and rendering it as polished transparent acrylic with high gloss, medium reflectivity, and a subtle subsurface glow/refraction effect. The outcome is an updated version of the original image that retains its structure while adopting a smooth mixed radial/linear gradient finish under soft, diffused ambient lighting with gentle bloom and minimal feathered shadows.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/turn-images-into-dreamy-iridescent
SKILL.md
What it does
This prompt instructs the AI to retexture the attached image by applying an iridescent, ethereal sky-gradient color scheme (sky blue to lavender to pale pink with soft white edging) and rendering it as polished transparent acrylic with high gloss, medium reflectivity, and a subtle subsurface glow/refraction effect. The outcome is an updated version of the original image that retains its structure while adopting a smooth mixed radial/linear gradient finish under soft, diffused ambient lighting with gentle bloom and minimal feathered shadows.
Requires the betterprompt CLI to run. For installation and general CLI usage, refer to the
betterpromptskill in your skill list or if not yet available in skill list, install vianpx skills add https://github.com/BetterPromptme/betterprompt/skills --skill betterprompt
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-base64 <base64> or --image-input-path <absolute path to image> |
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-1and its available options. Look upgpt-image-1in thebetterprompt resourcesoutput (filtered to modality"image") and show itsavailableOptionsas:key: val1, val2 (default), val3 | key2: .... Mark a value(default)if it matches these defaults:{"image":{"quality":1},"quality":"medium"}. - If the human does not specify, defaults are used: model
gpt-image-1, options{"image":{"quality":1},"quality":"medium"}. Other models from the resources call are also available.
- Present the human with the default model
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 skillVersionId as the positional argument (for this skill version, use 0197af50-6866-7aac-a5b8-e4a1edff6d88).
Command form:
betterprompt generate 0197af50-6866-7aac-a5b8-e4a1edff6d88 \
[--image-input-url <url>] \
[--image-input-base64 <base64>] \
[--image-input-path <absolute path to image>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
Notes:
- Pass each image using one of
--image-input-url,--image-input-base64, 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
--modeland BetterPrompt will use the default model:gpt-image-1. - If the human does not mention options, omit
--optionsand BetterPrompt will use the default options:{"image":{"quality":1},"quality":"medium"}. - If the run times out, the response will include a
runIdyou can use to fetch the result later.
Example (using defaults shown above):
betterprompt generate 0197af50-6866-7aac-a5b8-e4a1edff6d88 \
--image-input-url https://example.com/image1.png \
--model gpt-image-1 \
--options '{"image":{"quality":1},"quality":"medium"}'
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
agent-ops-spec
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.
agent-ops-state
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
agent-ops-spec
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.
agent-ops-testing
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
agent-ops-testing
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
agent-ops-state
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
Didn't find tool you were looking for?