trainyard-scene

What it does

This prompt specifies a cinematic, photochemically inspired video scene on an urban commuter platform at dawn, detailing camera behavior, lens and filtration choices, color grade, lighting, atmosphere, sound design, and a two-part shot progression, with placeholders for subject, extras, and props. The outcome is a tightly art-directed, realistic-feeling sequence featuring an arriving train in misty morning light, culminating in an intimate character moment and a defined “poster frame” for finishing and delivery.

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
props	Optional	any prop you want to include in the shot	paper coffee cup, rolling luggage, LED departure board (generic destinations)
extras	Optional	Describe extras in your scene	commuters in muted tones; one cyclist pushing bike
main_subject	Optional	Describe your main subject	mid-30s traveler, navy coat, backpack slung on one shoulder, holding phone loosely at side

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):
  • props (default: paper coffee cup, rolling luggage, LED departure board (generic destinations))
  • extras (default: commuters in muted tones; one cyclist pushing bike)
  • main_subject (default: mid-30s traveler, navy coat, backpack slung on one shoulder, holding phone loosely at side)
• 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":"8","size":"720x1280"}.
  • If the human does not specify, defaults are used: model sora-2, options {"seconds":"8","size":"720x1280"}. 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 trainyard-scene).

Command form:

betterprompt generate trainyard-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":"8","size":"720x1280"}.
• 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 trainyard-scene \
  --input 'props=paper coffee cup, rolling luggage, LED departure board (generic destinations)' \
  --input 'extras=commuters in muted tones; one cyclist pushing bike' \
  --input 'main_subject=mid-30s traveler, navy coat, backpack slung on one shoulder, holding phone loosely at side' \
  --model sora-2 \
  --options '{"seconds":"8","size":"720x1280"}'