minimax-ai/minimax-h3

MiniMax H3 is a prompt writing skill and video generation toolkit that provides structured guidance for working with the MiniMax platform's text-to-video...

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Summary Information

Updated 2 minutes ago
Added to GitGenius on September 1st, 2026
Created on July 30th, 2026
Open Issues & Pull Requests: 34 (+0)
GitHub issues: Enabled
Number of forks: 560
Total Stargazers: 8,212 (+0)
Total Subscribers: 65 (+0)

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Detailed Description

MiniMax H3 is a prompt writing skill and video generation toolkit that provides structured guidance for working with the MiniMax platform's text-to-video and image generation capabilities.

The tool addresses the challenge of crafting effective prompts for AI-powered video and image generation by bundling nine skills, with the H3 prompt writing skill as the primary offering. This skill includes two comprehensive prompt guides covering different generation modes: one for text and keyframe modes, and another for full-reference mode. The approach works by providing reference documentation and Markdown-based skill definitions that can be integrated into various agent frameworks and development environments.

Developers should adopt this tool if they are working with MiniMax's video generation platform or building agents that need structured prompt guidance. The H3 prompt writing skill is particularly valuable because it operates without external API dependencies, making it portable across multiple agent harnesses including Claude Code, the Claude Agent SDK, Cursor, Windsurf, OpenAI-based agents, and LangChain. The remaining eight skills are purpose-built for MiniMax Hub's canvas workflow and are not portable to generic agent systems. The tool is written in Python and is available through multiple distribution channels including Hugging Face and ModelScope.

The project maintains active community engagement through Discord and WeChat channels. Development activity shows support for multiple languages through translated documentation. The codebase is organized with clear separation between the portable prompt writing skill and the platform-specific video generation skills, indicating deliberate architectural choices about portability and use-case specificity.