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trainyard-scene

trainyard-scene

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 seq…

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Documentation de la Skill

GitHub

name: trainyard-scene description: 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. 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 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 keyRequired?DescriptionDefaults
propsOptionalany prop you want to include in the shotpaper coffee cup, rolling luggage, LED departure board (generic destinations)
extrasOptionalDescribe extras in your scenecommuters in muted tones; one cyclist pushing bike
main_subjectOptionalDescribe your main subjectmid-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"}'
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