executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
universal-motion-promptThis prompt instructs the model to take a provided still image and enhance it with realistic, cinematic motion cues—such as subtle motion blur, wind-driven movement, light shifts, or gentle camera-like panning—while preserving the original composition, lighting, atmosphere, and mood. The outcome is an image that feels like a mid-action frame, energized and …
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This prompt instructs the model to take a provided still image and enhance it with realistic, cinematic motion cues—such as subtle motion blur, wind-driven movement, light shifts, or gentle camera-like panning—while preserving the original composition, lighting, atmosphere, and mood. The outcome is an image that feels like a mid-action frame, energized and alive, without warping or altering the core subject or scene tone.
For more installation instructions go to https://skills.sh/betterpromptme/betterprompt/betterprompt to check out this skill.
Pass each text input using --input <key>=<value> flags.
| Variable key | Required? | Description | Defaults |
|---|---|---|---|
Action | Required | wefwef | (none) |
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 | A photo | --image-input-url <url> or --image-input-base64 <base64> or --image-input-path <absolute path to image> |
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".
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:
Actionsora-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":"1280x720"}.sora-2, options {"seconds":"8","size":"1280x720"}. Other models from the resources call are also available.If any required text input or 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 (A photo)".
Use the frontmatter's name as the positional argument (for this skill, use universal-motion-prompt).
Command form:
betterprompt generate universal-motion-prompt \
[--input <key>=<value>] \
[--image-input-url <url>] \
[--image-input-base64 <base64>] \
[--image-input-path <absolute path to image>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
Notes:
--input <key>=<value> flag.--image-input-url, --image-input-base64, or --image-input-path, in the order matching the imageInputs descriptions (image 1 first, then image 2, etc.).--model and BetterPrompt will use the default model: sora-2.--options and BetterPrompt will use the default options: {"seconds":"8","size":"1280x720"}.runId you can use to fetch the result later.Example (using defaults shown above):
betterprompt generate universal-motion-prompt \
--input Action=<value> \
--image-input-url https://example.com/image1.png \
--model sora-2 \
--options '{"seconds":"8","size":"1280x720"}'