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

高 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

How It Works
This workflow automates athlete performance monitoring
Setup Steps
1. Configure Training Session Form fields to match athl
2. Connect Google Sheets credentials to Store, Fetch, a
3. Add OpenAI API cred
Prerequisites
- Google Sheets with service account credentials
- Slack workspace with bot token
- Gmail or SMTP credentials
Use Cases
- Real-time performance threshold alerts for elite athl
Performance Analysis Agent
What – Analyses combined data using OpenAI and updates
Why – Automates performance interpretation without manu
Check Performance Threshold
What – Evaluates whether metrics breach defined perform
Why – Ensures coaches are alerted only when athlete per
Fetch & Combine Historical Data
What – Retrieves prior records and merges with current
Why – Gives the analysis agent full longitudinal contex
Weekly Summary Schedule & Grouping
What – Fetches all weekly data and groups records by in
Why – Organises data correctly before generating per-at
Weekly Summary Agent & Distribution
What – Generates summaries via OpenAI and sends to Slac
Why – Delivers consistent weekly performance visibility
parserparsermodelmodel
⚡
T
Training Session Form
W
Workflow Configuration
Store Training Record
Fetch Historical Data
C
Combine Current and Hist…
Performance Analysis Agent
OpenAI Model - Analysis
Analysis Output Parser
Update Record with Insig…
C
Check Performance Thresh…
Send Slack Alert
Send Email Alert
⚡
W
Weekly Summary Schedule
W
Weekly Config
Fetch Weekly Data
Group by Athlete
Weekly Summary Agent
OpenAI Model - Summary
Summary Output Parser
Send Weekly Summary to S…
Send Weekly Summary Email
21 nodes20 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 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

下载 JSON在 n8n.io 上查看
节点21
复杂度high
触发器trigger
分类Project Management

创建者

Cheng Siong Chin

Cheng Siong Chin

@cschin

标签

agentcodeformtriggergooglesheetshttprequestiflmchatopenaimergeoutputparserstructuredscheduletrigger
⚡

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