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Classic Denim Urban Streetside Portrait

ASecurity

This prompt directs an image-generation system to produce a magazine-quality, vertical, waist-up nighttime portrait of a stylish young woman seated at a luxury botanical restaurant table, captured from across the table with a subtle wide-angle editorial look. It specifies her pose, expression, facial features, hair, jewelry, and outfit; the table setting with a poke-style salad and a crystal smoothie; and the modern plant-filled interior with city lights beyond glass walls. It also defines ci...

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  • Added September 12, 2026
toolsgobashnodeexpressgit

Works with

  • cli

Security analysis

A100/100

Scanned September 12, 2026

npx -y skills add BetterPromptme/skills --skill classic-denim-urban-streetside-portrait --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: classic-denim-urban-streetside-portrait
description: This prompt directs an image-generation system to produce a magazine-quality, vertical, waist-up nighttime portrait of a stylish young woman seated at a luxury botanical restaurant table, captured from across the table with a subtle wide-angle editorial look. It specifies her pose, expression, facial features, hair, jewelry, and outfit; the table setting with a poke-style salad and a crystal smoothie; and the modern plant-filled interior with city lights beyond glass walls. It also defines cinematic lighting, color palette, depth of field, focus priorities, photorealistic texture and material requirements, and exclusions to avoid common visual artifacts, resulting in a polished high-end fashion-meets-fine-dining restaurant editorial image.
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 directs an image-generation system to produce a magazine-quality, vertical, waist-up nighttime portrait of a stylish young woman seated at a luxury botanical restaurant table, captured from across the table with a subtle wide-angle editorial look. It specifies her pose, expression, facial features, hair, jewelry, and outfit; the table setting with a poke-style salad and a crystal smoothie; and the modern plant-filled interior with city lights beyond glass walls. It also defines cinematic lighting, color palette, depth of field, focus priorities, photorealistic texture and material requirements, and exclusions to avoid common visual artifacts, resulting in a polished high-end fashion-meets-fine-dining restaurant editorial image.

> 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 | Your 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:

```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 images:
  - **Exactly 1** images: image 1 (Your photo). Images must be provided in this order.
- Optional: model and options.
  - Present the human with the default model **`gemini-3-pro-image-preview`** and its available options. Look up `gemini-3-pro-image-preview` 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: `{"aspectRatio":"3:4","resolution":"1K"}`.
  - If the human does not specify, defaults are used: model `gemini-3-pro-image-preview`, options `{"aspectRatio":"3:4","resolution":"1K"}`. 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 (Your photo)"**.

### Step 2: Run via BetterPrompt CLI

Use the frontmatter's `name` as the positional argument (for this skill, use `classic-denim-urban-streetside-portrait`).

Command form:

```bash
betterprompt generate classic-denim-urban-streetside-portrait \
  [--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: **`gemini-3-pro-image-preview`**.
- If the human does **not** mention options, **omit** `--options` and BetterPrompt will use the default options: **`{"aspectRatio":"3:4","resolution":"1K"}`**.
- 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 classic-denim-urban-streetside-portrait \
  --image-input-url https://example.com/image1.png \
  --model gemini-3-pro-image-preview \
  --options '{"aspectRatio":"3:4","resolution":"1K"}'
```

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