Agent skill · Backend & API

luma-video

Generate AI videos with Luma Dream Machine via AceDataCloud API. Use when creating videos from text prompts, generating videos from reference images, extending existing videos, or any video generation task with Luma. Supports text-to-video, image-to-video, and video extension.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill luma-video-acedatacloud-skills-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 3 KB
Bundled scripts: none
Version: 1.0
Declared author: acedatacloud
Requires: Requires ACEDATACLOUD_API_TOKEN environment variable. Optionally pair with mcp-luma for tool-use.
Path: skills/ai-ml/luma-video-acedatacloud-skills-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Luma Video Generation Generate AI videos through AceDataCloud's Luma Dream Machine API. ## Authentication ```bash export ACEDATACLOUD_API_TOKEN="your-token-here" ``` ## Quick Start ```bash curl -X POST https://api.acedata.cloud/luma/videos \ -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{"prompt": "a drone flying over a mountain lake at sunrise", "action": "generate", "wait": true}' ``` ## Workflows ### 1. Text-to-Video Generate video purely from a text description. ```json POST /luma/videos { "prompt": "a timelapse of flowers blooming in a garden", "action": "generate", "aspect_ratio": "16:9", "loop": false, "enhancement": true } ``` ### 2. Image-to-Video Use start and/or end reference images to guide generation. ```json POST /luma/videos { "prompt": "the scene comes alive with gentle wind", "action": "generate", "start_image_url": "https://example.com/scene.jpg", "end_image_url": "https://example.com/scene-end.jpg", "aspect_ratio": "16:9" } ``` ### 3. Extend a Video Continue an existing video with a new prompt. ```json POST /luma/videos { "action": "extend", "video_id": "existing-video-id", "prompt": "the camera continues forward

What's inside
Steps it walks through
  1. Authentication
  2. Quick Start
  3. Workflows
  4. 1. Text-to-Video
  5. 2. Image-to-Video
  6. 3. Extend a Video
  7. Aspect Ratios
  8. Parameters
  9. Task Polling
  10. MCP Server
  11. Gotchas
Ships with 1 file
  • metadata.json
Commands it runs
export ACEDATACLOUD_API_TOKEN="your-token-here"
curl -X POST https://api.acedata.cloud/luma/videos \
pip install mcp-luma
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About this skill
What does the luma-video skill do?

Generate AI videos with Luma Dream Machine via AceDataCloud API. Use when creating videos from text prompts, generating videos from reference images, extending existing videos, or any video generation task with Luma. Supports text-to-video, image-to-video, and video extension.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill luma-video-acedatacloud-skills-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going