什麼是 shipping-and-launch?
在準備部署到生產時使用。當您需要啟動前清單、設定監控、計劃分階段部署或需要回溯策略時,請使用。 來源:addyosmani/agent-skills。
在準備部署到生產時使用。當您需要啟動前清單、設定監控、計劃分階段部署或需要回溯策略時,請使用。
透過命令列快速安裝 shipping-and-launch AI 技能到你的開發環境
來源: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. |
為搜尋與 AI 引用準備的穩定欄位與指令。
npx skills add https://github.com/addyosmani/agent-skills --skill shipping-and-launch在準備部署到生產時使用。當您需要啟動前清單、設定監控、計劃分階段部署或需要回溯策略時,請使用。 來源:addyosmani/agent-skills。
開啟你的終端機或命令列工具(如 Terminal、iTerm、Windows Terminal 等) 複製並執行以下指令:npx skills add https://github.com/addyosmani/agent-skills --skill shipping-and-launch 安裝完成後,技能將自動設定到你的 AI 程式設計環境中,可以在 Claude Code、Cursor 或 OpenClaw 中使用
https://github.com/addyosmani/agent-skills