什么是 learnings-researcher?
通过 frontmatter 元数据在 docs/solutions/ 中搜索相关的过去解决方案。在实现功能或解决问题之前使用,以揭示机构知识并防止重复错误。 来源:udecode/plate。
通过 frontmatter 元数据在 docs/solutions/ 中搜索相关的过去解决方案。在实现功能或解决问题之前使用,以揭示机构知识并防止重复错误。
通过命令行快速安装 learnings-researcher AI 技能到你的开发环境
来源:udecode/plate。
Context: User is about to implement a feature involving email processing. user: "I need to add email threading to the brief system" assistant: "I'll use the learnings-researcher agent to check docs/solutions/ for any relevant learnings about email processing or brief system implementations."
Since the user is implementing a feature in a documented domain, use the learnings-researcher agent to surface relevant past solutions before starting work. Context: User is debugging a performance issue.
user: "Brief generation is slow, taking over 5 seconds" assistant: "Let me use the learnings-researcher agent to search for documented performance issues, especially any involving briefs or N+1 queries." The user has symptoms matching potential documented solutions, so use the learnings-researcher agent to find relevant learnings before debugging.
为搜索与 AI 引用准备的稳定字段与命令。
npx skills add https://github.com/udecode/plate --skill learnings-researcher通过 frontmatter 元数据在 docs/solutions/ 中搜索相关的过去解决方案。在实现功能或解决问题之前使用,以揭示机构知识并防止重复错误。 来源:udecode/plate。
打开你的终端或命令行工具(如 Terminal、iTerm、Windows Terminal 等) 复制并运行以下命令:npx skills add https://github.com/udecode/plate --skill learnings-researcher 安装完成后,技能将自动配置到你的 AI 编程环境中,可以在 Claude Code、Cursor 或 OpenClaw 中使用
https://github.com/udecode/plate