Install
$ agentstack add skill-samuraigpt-generative-media-skills-drone-style-video ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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:
- 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}} - 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-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/ -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'and poll withmuapi 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.
- Author: SamurAIGPT
- Source: SamurAIGPT/Generative-Media-Skills
- License: MIT
- Homepage: https://muapi.ai?utmsource=github&utmmedium=about&utm_campaign=generative-media-skills
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.