什么是 shipping-and-launch?
在准备部署到生产时使用。当您需要启动前清单、设置监控、计划分阶段部署或需要回滚策略时,请使用。 来源:addyosmani/agent-skills。
在准备部署到生产时使用。当您需要启动前清单、设置监控、计划分阶段部署或需要回滚策略时,请使用。
通过命令行快速安装 shipping-and-launch AI 技能到你的开发环境
来源:addyosmani/agent-skills。
Ship with confidence. The goal is not just to deploy — it's to deploy safely, with monitoring in place, a rollback plan ready, and a clear understanding of what success looks like. Every launch should be reversible, observable, and incremental.
| "It works in staging, it'll work in production" | Production has different data, traffic patterns, and edge cases. Monitor after deploy. | | "We don't need feature flags for this" | Every feature benefits from a kill switch. Even "simple" changes can break things. |
| "Monitoring is overhead" | Not having monitoring means you discover problems from user complaints instead of dashboards. | | "We'll add monitoring later" | Add it before launch. You can't debug what you can't see. | | "Rolling back is admitting failure" | Rolling back is responsible engineering. Shipping a broken feature is the failure. |
为搜索与 AI 引用准备的稳定字段与命令。
npx skills add https://github.com/addyosmani/agent-skills --skill shipping-and-launch在准备部署到生产时使用。当您需要启动前清单、设置监控、计划分阶段部署或需要回滚策略时,请使用。 来源:addyosmani/agent-skills。
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/addyosmani/agent-skills --skill shipping-and-launch 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/addyosmani/agent-skills