Track athlete sessions and weekly performance with OpenAI, Google Sheets, Slack, and email — Flujo de trabajo n8n

Alta complejidad⚡ Disparador21 nodos🏷️ Project Managementpor Cheng Siong Chin

Descripción general

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

Nodos utilizados

Google SheetsHTTP RequestSlackCodeAI AgentOpenAI Chat ModelStructured Output Parser

Vista previa del flujo de trabajo

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

Cómo funciona

  1. 1

    Disparador

    El flujo de trabajo comienza con un disparador disparador.

  2. 2

    Procesamiento

    Los datos fluyen a través de 21 nodos, connecting agent, code, formtrigger.

  3. 3

    Salida

    El flujo de trabajo completa su automatización y entrega el resultado al destino configurado.

Detalles de nodos (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

Cómo importar este flujo de trabajo

  1. 1Haz clic en el botón Descargar JSON a la derecha para guardar el archivo del flujo de trabajo.
  2. 2Abre tu instancia de n8n. Ve a Flujos de trabajo → Nuevo → Importar desde archivo.
  3. 3Selecciona el archivo track-athlete-sessions-and-weekly-performance-with-openai-google-sheets-slack-and-email descargado y haz clic en Importar.
  4. 4Configura las credenciales para cada nodo de servicio (claves API, OAuth, etc.).
  5. 5Haz clic en Probar flujo de trabajo para verificar que todo funcione, luego actívalo.

O pega directamente en n8n → Importar desde JSON:

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

Integraciones

agentcodeformtriggergooglesheetshttprequestiflmchatopenaimergeoutputparserstructuredscheduletriggersetslack

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Nodos21
Complejidadhigh
Disparadortrigger
CategoríaProject Management

Creado por

Cheng Siong Chin

Cheng Siong Chin

@cschin

Etiquetas

agentcodeformtriggergooglesheetshttprequestiflmchatopenaimergeoutputparserstructuredscheduletrigger
⚡

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