concept-prompt-fictional-pharmacy-themed-product-visualization

---

name: concept-prompt-fictional-pharmacy-themed-product-visualization description: Generates a square, modern product-photo style image of a fictional pharmaceutical package branded for a specified pharmacy, with a minimalist box on the left displaying the given product name and a witty dosing line, alongside a silver blister pack holding 6–10 themed pills or capsules shaped like the provided icon description, all set against a neutral background with soft lighting and sharp focus. 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

Generates a square, modern product-photo style image of a fictional pharmaceutical package branded for a specified pharmacy, with a minimalist box on the left displaying the given product name and a witty dosing line, alongside a silver blister pack holding 6–10 themed pills or capsules shaped like the provided icon description, all set against a neutral background with soft lighting and sharp focus.

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 key	Required?	Description	Defaults
Brand_Name	Required		(none)
PRODUCT_NAME	Required		(none)
describe_icon	Required		(none)
Take_one_type_daily	Required		(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:
  • Brand_Name
  • PRODUCT_NAME
  • describe_icon
  • Take_one_type_daily
• 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: {"size":"1024x1024","quality":"low"}.
  • If the human does not specify, defaults are used: model gpt-image-1, options {"size":"1024x1024","quality":"low"}. 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 concept-prompt-fictional-pharmacy-themed-product-visualization).

Command form:

betterprompt generate concept-prompt-fictional-pharmacy-themed-product-visualization \
  [--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: {"size":"1024x1024","quality":"low"}.
• 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 concept-prompt-fictional-pharmacy-themed-product-visualization \
  --input Brand_Name=<value> \
  --input PRODUCT_NAME=<value> \
  --input describe_icon=<value> \
  --input Take_one_type_daily=<value> \
  --model gpt-image-1 \
  --options '{"size":"1024x1024","quality":"low"}'