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

Élevé complexité⚡ Déclencheur21 nœuds🏷️ Project Managementpar Cheng Siong Chin

Aperçu

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

Nœuds utilisés

Google SheetsHTTP RequestSlackCodeAI AgentOpenAI Chat ModelStructured Output Parser

Aperçu du workflow

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

Comment ça fonctionne

  1. 1

    Déclencheur

    Le workflow démarre avec un déclencheur déclencheur.

  2. 2

    Traitement

    Les données transitent par 21 nœuds, connecting agent, code, formtrigger.

  3. 3

    Sortie

    Le workflow termine son automatisation et livre le résultat à la destination configurée.

Détails des nœuds (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

Comment importer ce workflow

  1. 1Cliquez sur le bouton Télécharger JSON à droite pour enregistrer le fichier du workflow.
  2. 2Ouvrez votre instance n8n. Accédez à Workflows → Nouveau → Importer depuis un fichier.
  3. 3Sélectionnez le fichier track-athlete-sessions-and-weekly-performance-with-openai-google-sheets-slack-and-email téléchargé et cliquez sur Importer.
  4. 4Configurez les identifiants pour chaque nœud de service (clés API, OAuth, etc.).
  5. 5Cliquez sur Tester le workflow pour vérifier que tout fonctionne, puis activez-le.

Ou collez directement dans n8n → Importer depuis JSON :

{ "name": "Track athlete sessions and weekly performance with OpenAI, Google Sheets, Slack, and email", "nodes": [...], ...}

Intégrations

agentcodeformtriggergooglesheetshttprequestiflmchatopenaimergeoutputparserstructuredscheduletriggersetslack

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Téléchargez et importez en un clic

Télécharger JSONVoir sur n8n.io
Nœuds21
Complexitéhigh
Déclencheurtrigger
CatégorieProject Management

Créé par

Cheng Siong Chin

Cheng Siong Chin

@cschin

Tags

agentcodeformtriggergooglesheetshttprequestiflmchatopenaimergeoutputparserstructuredscheduletrigger
⚡

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