Agent skill
sora-video
Generate AI videos with OpenAI Sora via AceDataCloud API. Use when creating videos from text prompts, generating videos from reference images, or using character references from existing videos. Supports text-to-video, image-to-video, and character-driven generation with multiple models and resolutions.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/sora-video-acedatacloud-skills-2
Metadata
Additional technical details for this skill
- author
- acedatacloud
- version
- 1.0
SKILL.md
Sora Video Generation
Generate AI videos through AceDataCloud's OpenAI Sora API.
Authentication
export ACEDATACLOUD_API_TOKEN="your-token-here"
Quick Start
curl -X POST https://api.acedata.cloud/sora/videos \
-H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \
-H "Content-Type: application/json" \
-d '{"prompt": "a golden retriever running on a beach at sunset", "model": "sora-2", "wait": true}'
Models
| Model | Duration | Quality | Best For |
|---|---|---|---|
sora-2 |
10–15s | Standard | Most tasks (default) |
sora-2-pro |
10–25s | Higher | Premium quality, longer videos |
Workflows
1. Text-to-Video
POST /sora/videos
{
"prompt": "a busy Tokyo street at night with neon signs reflecting in rain puddles",
"model": "sora-2",
"size": "small",
"duration": 10,
"orientation": "landscape"
}
2. Image-to-Video
Use reference images to guide generation.
POST /sora/videos
{
"prompt": "the scene gradually comes alive with gentle motion",
"image_urls": ["https://example.com/scene.jpg"],
"model": "sora-2",
"orientation": "landscape"
}
3. Character-Driven Video
Extract a character from an existing video and use them in a new scene.
POST /sora/videos
{
"prompt": "the character walks through a futuristic city",
"character_url": "https://example.com/source-video.mp4",
"character_start": 2.0,
"character_end": 5.0,
"model": "sora-2-pro"
}
Parameters
| Parameter | Values | Description |
|---|---|---|
size |
"small", "large" |
Video resolution |
duration |
10, 15, 25 |
Duration in seconds (25 only with sora-2-pro) |
orientation |
"landscape" (16:9), "portrait" (9:16), "square" (1:1) |
Video orientation |
Task Polling
POST /sora/tasks
{"task_id": "your-task-id"}
States: pending → succeeded or failed.
MCP Server
pip install mcp-sora
Or hosted: https://sora.mcp.acedata.cloud/mcp
Key tools: sora_generate_video, sora_generate_video_from_image, sora_generate_video_with_character
Gotchas
- Duration of 25 seconds is only available with
sora-2-promodel size: "large"produces higher resolution but costs more and takes longer- Character-driven generation requires
character_startandcharacter_endtimestamps (in seconds) from the source video orientationsets the aspect ratio — use"portrait"for mobile-first content- Task states use
"succeeded"(not "completed") — check for this value when polling
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