什么是 next-actions?
查询知识库数据库以获取下一个畅通无阻的故事并推荐命令。如果数据库没有故事,则回退到 WORK-ORDER-BY-BATCH.md。 来源:michael-menard/monorepo。
查询知识库数据库以获取下一个畅通无阻的故事并推荐命令。如果数据库没有故事,则回退到 WORK-ORDER-BY-BATCH.md。
通过命令行快速安装 next-actions AI 技能到你的开发环境
来源:michael-menard/monorepo。
CRITICAL EXECUTION RULE: Do NOT spawn sub-agents (Task tool) for this skill. Call all MCP tools directly in the main conversation using the mcpknowledge-base prefix. Sub-agents do not have reliable access to the knowledge-base MCP server and will waste time exploring the filesystem instead of making tool calls.
Queries the KB database (single source of truth) for stories that need action, resolves dependencies at query time, and maps each story's state to the appropriate workflow command.
Inflight work always appears before new work. Stories being actively worked by an agent (active worktree in DB) are excluded entirely.
查询知识库数据库以获取下一个畅通无阻的故事并推荐命令。如果数据库没有故事,则回退到 WORK-ORDER-BY-BATCH.md。 来源:michael-menard/monorepo。
为搜索与 AI 引用准备的稳定字段与命令。
npx skills add https://github.com/michael-menard/monorepo --skill next-actions查询知识库数据库以获取下一个畅通无阻的故事并推荐命令。如果数据库没有故事,则回退到 WORK-ORDER-BY-BATCH.md。 来源:michael-menard/monorepo。
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/michael-menard/monorepo --skill next-actions 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/michael-menard/monorepo