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SKILL verified MIT Self-run

Muapi Drone Style Video

skill-samuraigpt-generative-media-skills-drone-style-video · by SamurAIGPT

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

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Install

$ agentstack add skill-samuraigpt-generative-media-skills-drone-style-video

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

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/ -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait .
  • Substitute {{input_name}} placeholders with the user's actual inputs before issuing each call.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.