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muapi-drone-style-video

muapi-drone-style-video

github.com/samuraigptCreative & media25662 installsUpdated 4w ago
Repository

About muapi-drone-style-video

muapi-drone-style-video is an LLM-orchestrated skill for generating aerial-perspective videos of a subject or location. It offers reveal, orbit, flyover, and top-down shot patterns, and can use a reference image to guide video generation.

Key features

  1. 01Aerial video generation
  2. 02Reveal, orbit, flyover, and top-down shots
  3. 03Optional reference image input
  4. 04Configurable style and aspect ratio

Use cases

  1. 01Create an aerial view of a landscape
  2. 02Make a flyover of a building or event

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/samuraigpt/generative-media-skills --skill muapi-drone-style-video

After installing, type/muapi-drone-style-videoin Claude Code to confirm it loaded.

Details

From the project README

Drone-Style Video

Generate aerial drone-perspective footage — sweeping bird's-eye views, orbit shots, and flyover sequences for landscapes, architecture, and events.

Inputs

NameTypeRequiredDefaultDescription
location_or_subjecttextyes—What to shoot from above (e.g. "mountain valley at sunrise", "luxury villa by the ocean", "crowded city intersection").
shot_typetextnorevealCamera movement style — 'reveal' (ascend & reveal), 'orbit' (circle subject), 'flyover' (pass over), 'top-down' (bird's eye static).
styletextnogolden hour, cinematic, 4K, ultra-detailedVisual atmosphere (e.g. "dramatic storm clouds", "misty morning", "blue hour city lights").
aspect_ratiotextno16:9Output aspect ratio.
reference_imageimage_urlno—Optional aerial/location reference image.

Steps

Phase A — Generate Drone Footage

Submit the plan with ONE step:

  1. Aerial 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).
    • Build prompt based on {{shot_type}}:
      • reveal: Drone camera starts low, slowly ascends and reveals {{location_or_subject}}, sweeping wide aerial perspective, {{style}}
      • orbit: Drone camera orbits {{location_or_subject}} in a smooth circular arc, 360-degree aerial rotation, {{style}}
      • flyover: Drone camera flies low and fast over {{location_or_subject}}, tracking forward momentum, depth of field, {{style}}
      • top-down: Perfect overhead bird's eye view of {{location_or_subject}}, drone looking straight down, minimal distortion, {{style}}
    • Append to all prompts: DJI-quality drone footage, stabilized gimbal, no shake, cinematic color grade, photorealistic
    • Aspect ratio: {{aspect_ratio}}

After generation, offer:

  • A different shot type variation
  • Adding wind/ambient audio via mmaudio-v2-video-to-video
  • Upscaling via ai-video-upscaler-pro

Notes

  • For architecture, emphasize "slow orbit to reveal full building facade".
  • For landscapes, use "magic hour lighting" for the best results.
  • veo3.1-text-to-video produces the best physics and camera motion for aerial scenes.

Trigger Keywords

drone, aerial, bird's eye, flyover, aerial shot, drone footage, top down, overhead 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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