Aggregate & Update Documentation from Slack, Teams & GitHub with Claude Sonnet 4.5 — n8n Workflow

Hoch Komplexität Geplant17 Knoten🤗 Supportvon Cheng Siong Chin

Übersicht

How It Works Aggregates communication data from Slack, Microsoft Teams, Gmail, GitHub, and Confluence into a single, unified AI-powered analysis workflow designed for quality review and automated documentation updates. This solution is specifically aimed at teams managing distributed content and knowledge workflows across multiple platforms. It addresses the challenges of fragmented communication and isolated information silos that often prevent rapid content review and timely decision-making. T

Verwendete Knoten

GitHubHTTP RequestSlackGmailMicrosoft TeamsNotionAI AgentAnthropic Chat ModelStructured Output Parser

Workflow-Vorschau

Customization
Add/remove source nodes, adjust Claude prompts for anal
Benefits
Saves 6+ hours weekly, eliminates missed content, AI-dr
Prerequisites
Slack workspace, Teams account, Gmail access, GitHub re
Use Cases
Content review teams processing fee
Setup Steps
-Connect credentials: Slack API, Teams, Gmail OAuth, Gi
-Confluence API, Anthropic API key, Notion Integration.
-Configure monitored channels/repositories.
-Set schedule fre
How It Works
Aggregates communication data from Slack, Microsoft Tea
4. Check Validity
What: Validates AI output for completeness and accuracy
Why: Prevents publishing incomplete
3. AI Content Analyzer (Claude)
What: Processes merged content to extract key themes, i
Why: Surfaces patterns and intelligence humans would mi
5. Format & Publish
What: Structures data into publish-ready format
Why: Ensures consistent presentation aligned with docum
2. Merge Sources
What: Consolidates data from Slack, Teams, Gmail, GitHu
Why: Creates unified view across communication silos fo
1. Schedule Trigger
What: Runs workflow at defined intervals (daily/weekly)
Why: Ensures consistent
modelparser
S
Schedule Trigger
W
Workflow Configuration
Get Slack Messages
Get Teams Messages
Get Gmail Messages
Get GitHub Activity
Get Confluence Pages
Get Notion Pages
M
Merge All Sources
AI Content Analyzer
Anthropic Chat Model
Structured Output Parser
C
Check If Valuable
Update Notion Document
Update Confluence Page
Send Review Task to Slack
F
Format Update Data
17 nodes18 edges

So funktioniert es

  1. 1

    Auslöser

    Der Workflow startet mit einem geplant-Auslöser, der nach einem definierten Zeitplan läuft.

  2. 2

    Verarbeitung

    Die Daten fließen durch 17 Knoten, connecting agent, github, gmail.

  3. 3

    Ausgabe

    Der Workflow schließt seine Automatisierung ab und liefert das Ergebnis an das konfigurierte Ziel.

Knotendetails (17)

GI

GitHub

github

#1
HT

HTTP Request

httpRequest

#2
SL

Slack

slack

#3
GM

Gmail

gmail

#4
MI

Microsoft Teams

microsoftTeams

#5
NO

Notion

notion

#6
AI

AI Agent

n8n-nodes-langchain.agent

#7
AN

Anthropic Chat Model

n8n-nodes-langchain.lmChatAnthropic

#8
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#9

So importieren Sie diesen Workflow

  1. 1Klicken Sie rechts auf die Schaltfläche JSON herunterladen, um die Workflow-Datei zu speichern.
  2. 2Öffnen Sie Ihre n8n-Instanz. Gehen Sie zu Workflows → Neu → Aus Datei importieren.
  3. 3Wählen Sie die heruntergeladene Datei aggregate-update-documentation-from-slack-teams-github-with-claude-sonnet-45 und klicken Sie auf Importieren.
  4. 4Richten Sie Anmeldedaten für jeden Dienstknoten ein (API-Schlüssel, OAuth usw.).
  5. 5Klicken Sie auf Workflow testen, um zu überprüfen, ob alles funktioniert, und aktivieren Sie es dann.

Oder direkt in n8n → Aus JSON importieren einfügen:

{ "name": "Aggregate & Update Documentation from Slack, Teams & GitHub with Claude Sonnet 4.5", "nodes": [...], ...}

Integrationen

agentgithubgmailhttprequestiflmchatanthropicmergemicrosoftteamsnotionoutputparserstructuredscheduletriggersetslack

Diesen Workflow holen

Herunterladen und mit einem Klick importieren

JSON herunterladenAuf n8n.io ansehen
Knoten17
Komplexitäthigh
Auslöserscheduled
KategorieSupport

Erstellt von

Cheng Siong Chin

Cheng Siong Chin

@cschin

Tags

agentgithubgmailhttprequestiflmchatanthropicmergemicrosoftteamsnotionoutputparserstructured

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