nrslib/takt：README 來源編輯指南

nrslib/takt 的 README 將專案描述為「TAKT Agent Koordination Topology - Define how AI agents coordinate, where humans intervene, and what gets recorded , in YAML」。本文只整理倉庫可直接核對的內容，不把 star、Fork 或宣傳語當成品質證明。README 在「TAKT」下寫到：TAKT is an open-source CLI that turns AI coding agents into repeatable development workflows. Define planning, implementation, review, fix loops, human checkpoints, permissions, and output contracts in YAML, then run tasks with isolated。這說明的是專案邊界，不是已完成的生產驗證。

從 README 的「TAKT」與相關條目，可以先判斷它是否處理你的實際問題：Keep context focused with step-specific personas, policies, knowledge, instructions, and output contracts。若需求不同，不應只因專案熱度就採用。本文保留原始專案名、命令與元件名，方便回到一手來源核對。 README 另外列出一項可核對的資訊：Run plan → implement → review → fix loops as explicit workflow steps。這類原文條目可用來設計試跑步驟，但不能取代實際環境測試。

README 將運作方式分散在「TAKT」等段落。可確認的線索包括：TAKT Agent Koordination Topology orchestrates multiple AI agents with structured review loops, managed prompts, and guardrails.。本文不把未寫出的架構、效能或安全邊界補成結論；真正的執行鏈仍要配合目錄、設定檔與版本標籤檢查。

第一次安裝應從 README 指出的入口開始。目前可核對的命令是： npm install -g takt # Talk to AI, describe a task, use /go, then choose "Queue as task" takt # Execute queued tasks in isolated worktrees takt run # Review diffs, merge, retry, requeue, or delete task branches takt list 如果倉庫沒有命令，本文不會自行編造步驟，而是建議先閱讀「Why TAKT」，確認系統依賴、預設埠與首次初始化。

日常使用取決於專案文件。README 的「TAKT」段落提到：Talk to AI to define what you want, queue it as a task, and run it with takt run. Planning, implementation, review, and fix loops are defined in YAML workflow files, so the process is not left to the agent's discretion.。設定檔、環境變數、權限與資料目錄只在來源明確時才會記錄；沒有寫出的預設值，應在測試環境驗證並保留回滾副本。 同一部分也提到：Execute queued tasks in isolated worktrees and inspect logs and reports afterward。