Track athlete sessions and weekly performance with OpenAI, Google Sheets, Slack, and email — n8n 工作流

复杂度 触发器21 个节点🏷️ Project Management作者:Cheng Siong Chin

概览

How It Works This workflow automates athlete performance monitoring through two parallel pipelines: real-time session analysis triggered by training form submissions, and scheduled weekly performance summaries. Designed for sports coaches, athletic trainers, and performance analysts, it eliminates manual data aggregation and ensures threshold breaches and weekly trends are communicated instantly. A training session form submission stores the record to Google Sheets, fetches historical data, and

使用的节点

Google SheetsHTTP RequestSlackCodeAI AgentOpenAI Chat ModelStructured Output Parser

工作流预览

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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 21 个节点, connecting agent, code, formtrigger。

  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 (21)

GO

Google Sheets

googleSheets

#1
HT

HTTP Request

httpRequest

#2
SL

Slack

slack

#3
CO

Code

code

#4
AI

AI Agent

n8n-nodes-langchain.agent

#5
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#6
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#7

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 track-athlete-sessions-and-weekly-performance-with-openai-google-sheets-slack-and-email 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": "Track athlete sessions and weekly performance with OpenAI, Google Sheets, Slack, and email", "nodes": [...], ...}

集成

agentcodeformtriggergooglesheetshttprequestiflmchatopenaimergeoutputparserstructuredscheduletriggersetslack

获取此工作流

一键下载并导入

在 n8n.io 上查看
节点21
复杂度high
触发器trigger

创建者

Cheng Siong Chin

Cheng Siong Chin

@cschin

标签

agentcodeformtriggergooglesheetshttprequestiflmchatopenaimergeoutputparserstructuredscheduletrigger

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