embraceagi/awesome-chatgpt-zh

ChatGPT 中文指南🔥,ChatGPT 中文调教指南,指令指南,应用开发指南,精选资源清单,更好的使用 chatGPT 让你的生产力 up up up! 🚀

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Summary Information

Updated 2 minutes ago
Added to GitGenius on September 5th, 2026
Created on March 21st, 2023
Open Issues & Pull Requests: 6 (+0)
GitHub issues: Enabled
Number of forks: 956
Total Stargazers: 11,679 (+0)
Total Subscribers: 104 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 8.5 days
Mean response time: 15.3 days
90th percentile: 43.2 days
Tracked items: 6

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Open issues: 0
New in 7 days: 0
Closed in 7 days: 0
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

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

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Detailed Description

Awesome ChatGPT ZH is a curated resource list that helps Chinese-speaking users understand and work with ChatGPT and frontier AI technologies.

The project addresses the need for accessible, organized guidance on using large language models effectively in Chinese contexts. It collects free and paid ChatGPT resources, methods for efficient communication with large models in Chinese, application development materials, and productivity tools built on large model capabilities. The approach is to maintain a continuously updated central reference that tracks the latest developments across major models and techniques, from new model releases to emerging practices like AI Agent development, Model Context Protocol, and Claude Skills.

Developers and teams working with large language models in Chinese environments should consider this resource. It suits anyone building applications with ChatGPT or other frontier models, learning prompt engineering, exploring open-source projects in this space, or seeking to understand current AI capabilities and development patterns. The project maintains a GitLab mirror for users in regions where GitHub access is restricted.

The project receives ongoing updates tracking new models and techniques as they emerge. Contributions are actively solicited through a documented contribution process. The resource maintains breadth across multiple dimensions of the AI landscape, from foundational model information to specialized guides for specific frameworks and approaches.