muapi-one-shot-video
Generate a single continuous cinematic shot video — no cuts, one seamless flowing scene with dramatic lighting and motion.
npx skills add SamurAIGPT/Generative-Media-Skills --skill one-shot-video --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# One-Shot Video **Generate a single continuous cinematic shot video — no cuts, one seamless flowing scene with dramatic lighting and motion.** ## Inputs | Name | Type | Required | Default | Description | |:---|:---|:---|:---|:---| | `scene` | text | yes | — | The scene to render (e.g. "a chef plating food in a moody Michelin-star kitchen"). | | `style` | text | no | cinematic, anamorphic lens, shallow depth of field, dramatic lighting | Visual tone and style (e.g. "noir, handheld, golden hour"). | | `duration` | text | no | 10s | Target duration (e.g. "5s", "10s"). | | `aspect_ratio` | text | no | 16:9 | Output aspect ratio — "16:9", "9:16", or "1:1". | | `reference_image` | image_url | no | — | Optional reference image for subject/scene anchoring. | ## Steps ### Phase A — Generate the One-Shot Video Submit the plan with ONE step: 1. **One-shot video** — If `{{reference_image}}` is provided, use `muapi video generate` (model=`veo3.1-image-to-video`); otherwise use `muapi video generate` (model=`veo3.1-text-to-video`). - Prompt: `{{scene}}, one continuous uncut shot, no transitions, camera slowly moves through scene, {{style}}, ultra cinematic, film grain, 4K quality` - Aspect rati
- Inputs
- Steps
- Phase A — Generate the One-Shot Video
- Notes
- Trigger Keywords
- Notes for the Executing Agent
What does the muapi-one-shot-video skill do?
Generate a single continuous cinematic shot video — no cuts, one seamless flowing scene with dramatic lighting and motion.
How do I install it?
Run `npx skills add SamurAIGPT/Generative-Media-Skills --skill one-shot-video --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From SamurAIGPT/Generative-Media-Skills, a repository with 3,976 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.