Jesseovo/last30days-skill-cn

Description and use

**Project Summary:**

The last30days-cn project is an open-source AI Agent skill that automatically searches and analyzes content from China's 8 major internet platforms over the past 30 days, generating a comprehensive research report. This project offers a pre-built AI capability that can be easily integrated into various applications. With its recent activity, strong adoption, and robust ecosystem signals, last30days-cn is highly production-ready for serious pilots.

**Value Proposition:**

The primary value of last30days-cn lies in its ability to add AI capability without requiring a custom-built model stack from scratch. This makes it an ideal choice for developers who want to prototype AI features, build RAG (Reactive Agent Graph) or agent workflows, or evaluate model tooling.

**Practical Adoption Path:**

To adopt last30days-cn, developers can start by:

1. Evaluating the project's feasibility through a small proof of concept.
2. Reviewing the README documentation to understand the project's architecture and usage.
3. Integrate the skill into their application, taking into account any necessary modifications or customizations.

**Production Readiness:**

The project's production readiness is high due to:

1. Recent activity: The project has been updated recently (2026-07-06), indicating active maintenance

Use in a workflow

Jesseovo/last30days-skill-cn helps add AI capability without starting from a blank model stack.

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Limitations and review notes

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.