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:
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:
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-2and its available options. Look upsora-2in thebetterprompt resourcesoutput (filtered to modality"video") and show itsavailableOptionsas: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.
- Present the human with the default model
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:
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
--modeland BetterPrompt will use the default model:sora-2. - If the human does not mention options, omit
--optionsand BetterPrompt will use the default options:{"seconds":"4","size":"1280x720"}. - If the run times out, the response will include a
runIdyou can use to fetch the result later.
Example (using defaults shown above):
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"}'