Together AI Video Generation Skill for Claude Code

What it is

This skill teaches Claude Code how to use Together AI's video generation API. It covers text-to-video generation, image-to-video conversion, and keyframe control for creating AI-powered video content. With this skill loaded, Claude Code produces correct API calls with proper model names and parameters.

Content creators, developers building video pipelines, and teams prototyping visual content will find this skill useful when they want to generate video programmatically through Claude Code without memorizing API details.

How it saves time or tokens

Together AI's video API has specific model identifiers, resolution constraints, and generation parameters. Without this skill, you would spend tokens describing these details in every prompt or correcting hallucinated parameter names. The skill encodes approximately 2,400 tokens of API knowledge so your prompts stay focused on creative intent.

How to use

1. Add the Together AI Video Generation skill to your Claude Code project configuration.
2. Prompt Claude Code to generate video using Together AI's API.
3. Specify the generation mode: text-to-video, image-to-video, or keyframe-controlled.

Example

import requests

url = 'https://api.together.xyz/v1/video/generations'
headers = {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
}
payload = {
    'model': 'Wan-AI/Wan2.1-T2V-14B',
    'prompt': 'A drone shot over a misty forest at dawn, cinematic',
    'height': 480,
    'width': 832,
    'num_frames': 81,
    'num_steps': 30
}
response = requests.post(url, headers=headers, json=payload)
video_url = response.json()['data'][0]['url']
print(video_url)

Related on TokRepo

• AI tools for video — Other video generation and processing tools for AI workflows.
• AI tools for content — Tools for generating multimedia content with AI.

Common pitfalls

• Requesting resolutions the model does not support. Each video model has fixed resolution options; arbitrary dimensions will fail.
• Expecting real-time generation. Video generation takes seconds to minutes depending on frame count and resolution.
• Not handling the asynchronous response pattern. Some video generation endpoints return a job ID that requires polling for completion.