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muapi-drone-style-video — Claude Code skill: what it does and install

Creates aerial drone footage using the muapi CLI, covering orbits, top-down perspectives, and flyover camera moves.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-drone-style-video -a claude-code
npx skills add SamurAIGPT/Generative-Media-Skills --skill drone-style-video -a claude-code
Open on GitHub

What muapi-drone-style-video does

The skill builds targeted prompts for aerial video generation and runs them through the muapi command-line utility. When an image reference is supplied, it selects the veo3.1-image-to-video model. Otherwise, it runs veo3.1-text-to-video.

Camera motion follows four distinct presets: vertical reveal, orbital circling, low flyovers, or straight top-down angles. Every prompt includes camera stabilization tags and cinematic grading instructions. After rendering, the agent can offer upscaling via ai-video-upscaler-pro or sound generation via mmaudio-v2-video-to-video.

Without a valid MUAPI_API_KEY or muapi auth configure, video generation will fail immediately. When an alias is missing in the CLI, the skill sends calls straight to https://api.muapi.ai/api/v1/<endpoint> and tracks them with muapi predict wait <request_id>.

What it helps with

  • generate flyover sequences across mountain valleys or coastlines
  • create an orbital camera shot circling a building facade
  • render overhead top-down footage of urban intersections
  • produce stabilized drone clips with custom aspect ratios

Example prompts for the agent

  • Create a drone flyover video across a desert canyon at golden hour
  • Generate an orbital drone shot circling a luxury seaside villa
  • Render a top-down aerial clip of an intersection in 16:9 aspect ratio

How to install muapi-drone-style-video

1Skills CLI (Vercel)

npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-drone-style-video -a claude-code
npx skills add SamurAIGPT/Generative-Media-Skills --skill drone-style-video -a claude-code

2Manually: put the files in place

~/.claude/skills/drone-style-video/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/drone-style-video/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about muapi-drone-style-video

How do I install muapi-drone-style-video in Claude Code?

Run npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-drone-style-video -a claude-code in your terminal.

What does muapi-drone-style-video do?

It constructs specialized aerial prompts and triggers video generation via the muapi CLI using Veo models.

What credentials are required to use this skill?

You need a MUAPI_API_KEY environment variable or credentials set via muapi auth configure.

Source text

SKILL.md · MIT
---
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.

© SamurAIGPT · MIT · SamurAIGPT/Generative-Media-Skills

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