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A practical review of addyosmani/agent-skills and why reusable skills are becoming an important layer for Codex, Claude Code, and AI coding workflows.

基于数据分析 GitHub Star 实际衡量什么、作为质量信号的局限性,以及在做技术决策时如何解读 Star 数据。

A Git-Stars review of open-notebook, why it is spreading through AI creator circles, and when a self-hosted NotebookLM-style workflow is worth the setup.

AI 编码代理如何重塑开源格局、评估它们时应关注什么,以及生态系统的发展方向。

A practical framework for predicting whether a GitHub project will be easy, moderate, or difficult to deploy.

A practical adoption checklist for evaluating whether a GitHub repository is healthy, trustworthy, and suitable for real projects.