Agent Skills
› SamurAIGPT/Generative-Media-Skills
› muapi-drone-style-video
muapi-drone-style-video
GitHub用于生成无人机视角视频，支持航拍、环绕、飞越等镜头运动，适用于景观、建筑及活动场景。
Trigger Scenarios
需要生成无人机或航拍风格视频
请求鸟瞰、飞越或环绕镜头效果
Install
npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-drone-style-video -g -y
SKILL.md
Frontmatter
{
"name": "muapi-drone-style-video",
"slug": "muapi-drone-style-video",
"version": "1.0.0",
"description": "Generate aerial drone-perspective footage — sweeping bird's-eye views, orbit shots, and flyover sequences for landscapes, architecture, and events.",
"acceptLicenseTerms": true
}
Drone-Style Video
Generate aerial drone-perspective footage — sweeping bird's-eye views, orbit shots, and flyover sequences for landscapes, architecture, and events.
Inputs
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
location_or_subject |
text | yes | — | What to shoot from above (e.g. "mountain valley at sunrise", "luxury villa by the ocean", "crowded city intersection"). |
shot_type |
text | no | reveal | Camera movement style — 'reveal' (ascend & reveal), 'orbit' (circle subject), 'flyover' (pass over), 'top-down' (bird's eye static). |
style |
text | no | golden hour, cinematic, 4K, ultra-detailed | Visual atmosphere (e.g. "dramatic storm clouds", "misty morning", "blue hour city lights"). |
aspect_ratio |
text | no | 16:9 | Output aspect ratio. |
reference_image |
image_url | no | — | Optional aerial/location reference image. |
Steps
Phase A — Generate Drone Footage
Submit the plan with ONE step:
- Aerial video — If
{{reference_image}}is provided, usemuapi video generate(model=veo3.1-image-to-video); otherwise usemuapi 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}}
- reveal:
- Append to all prompts:
DJI-quality drone footage, stabilized gimbal, no shake, cinematic color grade, photorealistic - Aspect ratio:
{{aspect_ratio}}
- Build prompt based on
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-videoproduces 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
muapiCLI commands. Usemuapi auth configurefirst ifMUAPI_API_KEYis 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 withmuapi predict wait <request_id>. - Substitute
{{input_name}}placeholders with the user's actual inputs before issuing each call.
Version History
- d4ce293 Current 2026-07-25 11:20
