minimax-ai/skills

MiniMax Skills is a framework for developing skills that guide AI coding agents through structured tasks across multiple development domains.

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Summary Information

Updated 22 minutes ago
Added to GitGenius on September 1st, 2026
Created on March 17th, 2026
Open Issues & Pull Requests: 66 (+0)
GitHub issues: Enabled
Number of forks: 1,160
Total Stargazers: 13,516 (+0)
Total Subscribers: 57 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 35.2 hours
Mean response time: 6.2 days
90th percentile: 14.9 days
Tracked items: 26

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 14% of issues opened in the past year have been closed. Three people close 64% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 24
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 133 days
Stale 30+ days: 23
Stale 90+ days: 2

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Most active issues this week

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Detailed Description

MiniMax Skills is a framework for developing skills that guide AI coding agents through structured tasks across multiple development domains.

The project addresses the challenge of providing AI coding agents with reliable, domain-specific guidance for real-world development work. It offers pre-built skills covering frontend, fullstack, Android, iOS, and shader development that can be integrated into AI coding tools. The approach structures these skills to deliver production-quality guidance rather than generic suggestions, allowing developers to plug the framework into their preferred AI coding tool and immediately access specialized knowledge for specific development contexts.

Developers should consider this tool if they are building or extending AI coding agents and need to add reliable, structured guidance for particular technology stacks or development domains. It suits projects where consistent, production-ready advice across frontend, mobile, and graphics development is valuable. The framework is in beta, meaning its APIs and configuration formats may evolve, so adoption works best for teams comfortable with potential changes as the project matures.

The project maintains an active user base, with most reported issues coming from outside adopters rather than the core team, indicating real-world usage in production contexts. Maintainers typically respond to new issues and pull requests within a few days.