← Back to Product Feed

GitHub Open Source yaojingang/yao-open-prompts

Yao Open Prompts:中文 AI 提示词库,覆盖工作、学习、内容、营销和生活场景

2,176
Traction Score
333
Forks
May 6, 2026
Launch Date
View Origin Link

Product Positioning & Context

Yao Open Prompts:中文 AI 提示词库,覆盖工作、学习、内容、营销和生活场景
ai chinese-prompts geo prompt-engineering prompts

Related Ecosystem & Alternatives

Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.

Deep-Dive FAQs

What is yaojingang/yao-open-prompts?
yaojingang/yao-open-prompts is a digital product or tool described as: Yao Open Prompts:中文 AI 提示词库,覆盖工作、学习、内容、营销和生活场景
Where did yaojingang/yao-open-prompts originate?
Data for yaojingang/yao-open-prompts was aggregated directly from the GitHub Open Source community ecosystem, representing raw developer and early-adopter sentiment.
When was yaojingang/yao-open-prompts publicly launched?
The initial public indexing or launch date for yaojingang/yao-open-prompts within our tracked developer communities was recorded on May 6, 2026.
How popular is yaojingang/yao-open-prompts?
yaojingang/yao-open-prompts has achieved measurable traction, logging over 2,176 traction score and facilitating 333 recorded discussions or engagements.
Which technical categories define yaojingang/yao-open-prompts?
Based on metadata extraction, yaojingang/yao-open-prompts is categorized under topics such as: ai, chinese-prompts, geo, prompt-engineering.
What are some commercial alternatives to yaojingang/yao-open-prompts?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as Ferrari Luce, which offers overlapping value propositions.
How does the creator describe yaojingang/yao-open-prompts?
The original author or development team describes the product as follows: "Yao Open Prompts:中文 AI 提示词库,覆盖工作、学习、内容、营销和生活场景"

Community Voice & Feedback

No active discussions extracted yet.

Discovery Source

GitHub Open Source GitHub Open Source

Aggregated via automated community intelligence tracking.

Tech Stack Dependencies

No direct open-source NPM package mentions detected in the product documentation.

Media Tractions & Mentions

No mainstream media stories specifically mentioning this product name have been intercepted yet.

Deep Research & Science

No direct peer-reviewed scientific literature matched with this product's architecture.