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muapi-one-shot-video

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

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SKILL.md
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One-Shot Video

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

Inputs

NameTypeRequiredDefaultDescription
scenetextyesThe scene to render (e.g. "a chef plating food in a moody Michelin-star kitchen").
styletextnocinematic, anamorphic lens, shallow depth of field, dramatic lightingVisual tone and style (e.g. "noir, handheld, golden hour").
durationtextno10sTarget duration (e.g. "5s", "10s").
aspect_ratiotextno16:9Output aspect ratio — "16:9", "9:16", or "1:1".
reference_imageimage_urlnoOptional 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 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.
Repository
SamurAIGPT/Generative-Media-Skills
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