This prompt instructs an AI design system to turn a user-supplied product photo into a polished, market-ready advertising poster by making the product the visual centerpiece and enhancing it with theme-driven backgrounds, dramatic yet clear lighting, depth-building shadows/gradients, and brand-aligned storytelling. It also supports optional user parameters (style elements, mood, color palette, and audience/voice) to tailor the composition for high-impact use across both digital and print media.
Scanned 9/12/2026
Install to Claude Code
npx -y skills add BetterPromptme/skills --skill create-a-visually-striking-product-poster-based-on-the-image-provided-by-the-user --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: create-a-visually-striking-product-poster-based-on-the-image-provided-by-the-user
description: This prompt instructs an AI design system to turn a user-supplied product photo into a polished, market-ready advertising poster by making the product the visual centerpiece and enhancing it with theme-driven backgrounds, dramatic yet clear lighting, depth-building shadows/gradients, and brand-aligned storytelling. It also supports optional user parameters (style elements, mood, color palette, and audience/voice) to tailor the composition for high-impact use across both digital and print media.
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 AI design system to turn a user-supplied product photo into a polished, market-ready advertising poster by making the product the visual centerpiece and enhancing it with theme-driven backgrounds, dramatic yet clear lighting, depth-building shadows/gradients, and brand-aligned storytelling. It also supports optional user parameters (style elements, mood, color palette, and audience/voice) to tailor the composition for high-impact use across both digital and print media.
> 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 |
| --- | ---: | --- | --- |
| `Color_theme` | Required | | (none) |
| `theme_or_elements` | Required | | (none) |
| `Mood_and_Atmosphere` | Required | | (none) |
| `Background_elements_or_style` | Required | | (none) |
| `Target_audience_or_brand_voice` | Required | | (none) |
### 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 | | `--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:
```bash
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:
```bash
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:
- `Color_theme`
- `theme_or_elements`
- `Mood_and_Atmosphere`
- `Background_elements_or_style`
- `Target_audience_or_brand_voice`
- Required images:
- **Exactly 1** images: image 1 (image 1). 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: `{"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 or 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 (image 1)"**.
### Step 2: Run via BetterPrompt CLI
Use the frontmatter's `name` as the positional argument (for this skill, use `create-a-visually-striking-product-poster-based-on-the-image-provided-by-the-user`).
Command form:
```bash
betterprompt generate create-a-visually-striking-product-poster-based-on-the-image-provided-by-the-user \
[--input <key>=<value>] \
[--image-input-url <url>] \
[--image-input-path <path>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
```
Notes:
- Pass each text input as a separate `--input <key>=<value>` flag.
- 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: **`{"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):
```bash
betterprompt generate create-a-visually-striking-product-poster-based-on-the-image-provided-by-the-user \
--input Color_theme=<value> \
--input theme_or_elements=<value> \
--input Mood_and_Atmosphere=<value> \
--input Background_elements_or_style=<value> \
--input Target_audience_or_brand_voice=<value> \
--image-input-url https://example.com/image1.png \
--model gpt-image-1 \
--options '{"size":"1024x1024","quality":"low"}'
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