muapi-drone-style-video
Generate aerial drone-perspective footage — sweeping bird's-eye views, orbit shots, and flyover sequences for landscapes, architecture, and events.
Install
npx skills add https://github.com/SamurAIGPT/Generative-Media-Skills/tree/main/library/motion/drone-style-video
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install samuraigpt-generative-media-skills@llmmart
git clone https://github.com/SamurAIGPT/Generative-Media-Skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole samuraigpt/generative-media-skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
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.
Files (generative-media-skills)
-
SKILL.md 3.3 KB
--- slug: muapi-drone-style-video name: 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: 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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