turn-any-photo-into-a-coloring-book-page

name	turn-any-photo-into-a-coloring-book-page
description	El prompt pide transformar la imagen proporcionada en una ilustración tipo libro para colorear, manteniendo exactamente los elementos originales y convirtiéndolos en contornos negros finos, limpios y bien definidos sobre fondo blanco, con un estilo sencillo y amigable, sin sombras ni colores, dejando áreas claras y amplias para facilitar el coloreado.
skillVersionId	0197678a-a474-772b-8076-82dd31de588e

What it does

El prompt pide transformar la imagen proporcionada en una ilustración tipo libro para colorear, manteniendo exactamente los elementos originales y convirtiéndolos en contornos negros finos, limpios y bien definidos sobre fondo blanco, con un estilo sencillo y amigable, sin sombras ni colores, dejando áreas claras y amplias para facilitar el coloreado.

Requires the betterprompt CLI to run. For installation and general CLI usage, refer to the betterprompt skill in your skill list or if not yet available in skill list, install via npx 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	Add the photo you want to convert into a coloring page	--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 (Add the photo you want to convert into a coloring page ). 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: {"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.

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 (Add the photo you want to convert into a coloring page )".

Step 2: Run via BetterPrompt CLI

Use the frontmatter's skillVersionId as the positional argument (for this skill version, use 0197678a-a474-772b-8076-82dd31de588e).

Command form:

betterprompt generate 0197678a-a474-772b-8076-82dd31de588e \
  [--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 --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: {"image":{"quality":1},"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 0197678a-a474-772b-8076-82dd31de588e \
  --image-input-url https://example.com/image1.png \
  --model gpt-image-1 \
  --options '{"image":{"quality":1},"quality":"medium"}'