One-Shot Cinematic Video

Name: One-Shot Cinematic Video
Author: SamurAIGPT

By SamurAIGPT· SamurAIGPT/Generative-Media-Skills· 0

Generate one continuous cinematic shot — no cuts, one flowing scene with dramatic lighting and motion. Needs a MuAPI key.

Installation

1
Make sure Claude is on your device and in your terminal.
Skills load from ~/.claude/skills/ when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then run claude in any terminal to verify.
One-time setup
```
npm i -g @anthropic-ai/claude-code
```
Already have it? Skip ahead.

Paste into Claude Code or into your terminal.

Install

git clone ht••••••••••••••••••••••••••••••••••••••••••••••••••••••• •••••••••••••••••••••••••••••••••••••••• •• ••••• •• •••••••••••••••••••••••••••••••••••••••••••••••• •• •• •• •••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••• •••••••••••••••••••••••••••••••••••••••••••••••••

This copies the whole skill folder into ~/.claude/skills/muapi-one-shot-video-samuraigpt/ — the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.

Faster alternative (instruction-only skills)

Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.

Quick install (SKILL.md only)

mkdir -p ~/.••••••••••••••••••••••••••••••••••••••••••••• •• •••• ••••• •••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••• •• •••••••••••••••••••••••••••••••••••••••••••••••••••••••••

Restart Claude Code.
Quit and reopen Claude Code (or any other agent that loads from ~/.claude/skills/). New skills are picked up on startup.
Just ask Claude.
Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.

Prefer to read the source first? Open on GitHub.

When Claude uses it

Generate a single continuous cinematic shot video — no cuts, one seamless flowing scene with dramatic lighting and motion.

What this skill does

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:

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 ratio: {{aspect_ratio}}
- Duration: {{duration}}

After generation, present the video and suggest:

A second angle variation
Adding ambient sound with mmaudio-v2-video-to-video

Notes

Emphasize "no cuts, no transitions" in the prompt for true one-shot feel.
For portrait/vertical style (9:16), add "vertical format, smartphone framing" to the prompt.
If the scene involves a person, suggest kling-v3.0-pro-image-to-video as an alternative for better human motion.

Trigger Keywords

one shot video, single take, continuous video, one take, cinematic shot, seamless video

Notes for the Executing Agent

This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call muapi CLI commands. Use muapi auth configure first if MUAPI_API_KEY is unset.
For model IDs without a CLI alias yet, fall back to the raw endpoint via curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait <request_id>.
Substitute {{input_name}} placeholders with the user's actual inputs before issuing each call.

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