Neon Pup Velocity Cinematic Street Skateboarding Scene
ASecurity
This prompt instructs an AI to act as a cinematic video director and generate a 5–10 second photorealistic, documentary-style sequence of a real copper Maltipoo skateboarding at speed through a specific New York City location, using specified camera and lighting choices. It defines realism-focused constraints—authentic dog anatomy and fur, natural motion blur and depth of field, handheld/gimbal-like camera behavior, and true-to-life lighting with reflections—while outlining a clear action bea...
Installs into .claude/skills of the current project.
Are you the author of Neon Pup Velocity Cinematic Street Skateboarding Scene?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/betterpromptme-neon-pup-velocity-cinematic-street-skateboarding-s)
---
name: neon-pup-velocity-cinematic-street-skateboarding-scene
description: This prompt instructs an AI to act as a cinematic video director and generate a 5–10 second photorealistic, documentary-style sequence of a real copper Maltipoo skateboarding at speed through a specific New York City location, using specified camera and lighting choices. It defines realism-focused constraints—authentic dog anatomy and fur, natural motion blur and depth of field, handheld/gimbal-like camera behavior, and true-to-life lighting with reflections—while outlining a clear action beat (tricks, passing pedestrians with coffee, close camera moment, then a jump) and safety requirements to ensure the outcome resembles professionally captured real-world footage without stylization or overlays.
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 to act as a cinematic video director and generate a 5–10 second photorealistic, documentary-style sequence of a real copper Maltipoo skateboarding at speed through a specific New York City location, using specified camera and lighting choices. It defines realism-focused constraints—authentic dog anatomy and fur, natural motion blur and depth of field, handheld/gimbal-like camera behavior, and true-to-life lighting with reflections—while outlining a clear action beat (tricks, passing pedestrians with coffee, close camera moment, then a jump) and safety requirements to ensure the outcome resembles professionally captured real-world footage without stylization or overlays.
> 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 |
| --- | ---: | --- | --- |
| `lighting` | Optional | Describe the lighting mood, time of day, or conditions. | `golden hour sunlight with soft reflections on glass` |
| `location` | Optional | Specify where the action takes place. Choose a real, detailed setting. | `busy New York City street lined with glass buildings` |
| `camera_type` | Optional | Define the camera style or lens used for realism. | `wide-angle lens, low cinematic perspective` |
| `dog_description` | Optional | Describe the real dog’s appearance — breed, color, size, or unique traits. | `sweet copper Maltipoo with fluffy fur` |
### Models and options
This skill's modality is: **`video`**.
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 `"video"`.
## How to run
### Step 1: Collect inputs
First, run `betterprompt resources --models-only --json` and filter to `modality: "video"` 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:
- Optional text inputs (use defaults if not provided by the human):
- `lighting` (default: `golden hour sunlight with soft reflections on glass`)
- `location` (default: `busy New York City street lined with glass buildings`)
- `camera_type` (default: `wide-angle lens, low cinematic perspective`)
- `dog_description` (default: `sweet copper Maltipoo with fluffy fur`)
- Optional: model and options.
- Present the human with the default model **`sora-2`** and its available options. Look up `sora-2` in the `betterprompt resources` output (filtered to modality `"video"`) and show its `availableOptions` as: `key: val1, val2 (default), val3 | key2: ...`. Mark a value `(default)` if it matches these defaults: `{"seconds":"4","size":"1280x720"}`.
- If the human does not specify, defaults are used: model `sora-2`, options `{"seconds":"4","size":"1280x720"}`. Other models from the resources call are also available.
### Step 2: Run via BetterPrompt CLI
Use the frontmatter's `name` as the positional argument (for this skill, use `neon-pup-velocity-cinematic-street-skateboarding-scene`).
Command form:
```bash
betterprompt generate neon-pup-velocity-cinematic-street-skateboarding-scene \
[--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: **`sora-2`**.
- If the human does **not** mention options, **omit** `--options` and BetterPrompt will use the default options: **`{"seconds":"4","size":"1280x720"}`**.
- 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 neon-pup-velocity-cinematic-street-skateboarding-scene \
--input 'lighting=golden hour sunlight with soft reflections on glass' \
--input 'location=busy New York City street lined with glass buildings' \
--input 'camera_type=wide-angle lens, low cinematic perspective' \
--input 'dog_description=sweet copper Maltipoo with fluffy fur' \
--model sora-2 \
--options '{"seconds":"4","size":"1280x720"}'
```