工作流落地五步法 / The Five-Step Workflow Methodology

搭建 AI 工作流的标准化方法论——先想清楚再动手。适用于扣子（Coze）、n8n、Dify 等平台。

A standardized methodology for building AI workflows — model first, build second. Works with Coze, n8n, Dify, and similar platforms.

解决的问题 / The Problem

搭工作流最常见的翻车场景：边搭边改，搭到一半发现少了关键节点，回退重来。根本原因是工作流是 DAG——一个节点的输出格式一变，下游全断。

The most common trap: building as you go, discovering a missing node halfway through, ripping it all up. Root cause: workflows are DAGs — change one node's output format and every downstream node breaks.

五步概览 / Five Steps at a Glance

① 明确最终交付  →  ② 确定业务数据  →  ③ 排流程节点  →  ④ 设人审与异常  →  ⑤ 测试、上线与监控
   Define the        Pin Down the        Design Each       Set Human Review     Test, Ship,
   Deliverable       Business Data       Node              & Error Handling     and Monitor

文件 / Files

文件	语言
workflow-five-steps.md	中文
workflow-five-steps.en.md	English
README.md	中英 / CN+EN

快速开始 / Quick Start

作为参考方法论 / As a Reference

直接阅读对应语言的文件，按五步走即可。

Read the file in your language and follow the five steps.

作为 Skill / As a Skill

将 workflow-five-steps.md（或 .en.md）放到你的 Agent Skills 目录。

Place workflow-five-steps.md (or .en.md) in your Agent's Skills directory.

适用平台 / Supported Platforms

• 扣子（Coze）
• n8n
• Dify
• LangChain / Flowise
• 任何可视化工作流编排工具 / Any visual workflow orchestration tool

复杂度裁剪 / Complexity Scaling

• ≤ 5 节点 / nodes：合并第 1+2 步，第 3 步只填功能和依赖 / Merge Steps 1+2; Step 3 — function and dependencies only
• 5–15 节点 / nodes：五步全走 / Run all five steps
• 15+ 节点 / nodes：第 3 步按子流程分组 / Group Step 3 by sub-flow

License

MIT