Generate Lessons Learned Reports from Jira Epics with AI and Google Docs — n8n 工作流

复杂度 触发器10 个节点🏷️ Project Management👁 3,406 次查看作者:Tarek Mustafa

概览

Who is this for? Jira users who want to automate the generation of a Lessons Learned or Retrospective report after an Epic is Done.

What problem is this workflow solving? / use case Lessons Learned / Retrospective reports are often omitted in Agile teams because they take time to write. With the use of n8n and AI this process can be automated.

What is this workflow doing Triggers automatically upon an Epic reaching the "Done" status in Jira. Collects all related tasks and comments associated w

使用的节点

Jira SoftwareGoogle DocsAI AgentOpenAI Chat ModelSimple Memory

工作流预览

Epic Done?
This Node is Triggered on any issue change in Jira. How
Fetch issue Description and Comments
Once the Epic is Done, these nodes fetch issues and com
Summarize and send to Google Docs
The LLM is summarizing the description / comments and g
memorymodel
Jira Get All Issues
Jira Get All Comments
AI Agent
OpenAI Chat Model
E
Edit Fields
S
Summarize
Google Docs
J
Jira Trigger
I
If
Simple Memory
10 nodes9 edges

工作原理

  1. 1

    触发器

    工作流由 触发器 触发器启动。

  2. 2

    处理

    数据流经 10 个节点, connecting agent, googledocs, if。

  3. 3

    输出

    工作流完成自动化并将结果发送到配置的目标。

节点详情 (10)

JI

Jira Software

jira

#1
GO

Google Docs

googleDocs

#2
AI

AI Agent

n8n-nodes-langchain.agent

#3
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#4
SI

Simple Memory

n8n-nodes-langchain.memoryBufferWindow

#5

如何导入此工作流

  1. 1点击右侧 下载 JSON 按钮保存工作流文件。
  2. 2打开你的 n8n 实例,依次点击 工作流 → 新建 → 从文件导入
  3. 3选择下载的 generate-lessons-learned-reports-from-jira-epics-with-ai-and-google-docs 文件并点击导入。
  4. 4为每个服务节点配置 凭证(API 密钥、OAuth 等)。
  5. 5点击 测试工作流 验证一切正常,然后激活它。

或直接在 n8n → 从 JSON 导入 中粘贴:

{ "name": "Generate Lessons Learned Reports from Jira Epics with AI and Google Docs", "nodes": [...], ...}

集成

agentgoogledocsifjirajiratriggerlmchatopenaimemorybufferwindowsetsummarize

获取此工作流

一键下载并导入

下载 JSON在 n8n.io 上查看
节点10
复杂度medium
触发器trigger
查看次数3,406

创建者

Tarek Mustafa

Tarek Mustafa

@tarekadam

标签

agentgoogledocsifjirajiratriggerlmchatopenaimemorybufferwindowsetsummarize

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