Aggregate & update documentation from Slack, Teams & GitHub with Claude Sonnet 4.5
Ready for 3.0What this workflow does
This AI workflow has 17 nodes and runs on a schedule (every hour). Along the way it connects Slack, Microsoft Teams, Gmail and GitHub and 2 more.
How it runs
Trigger: On a schedule (every hour).
- Workflow Configuration (Edit Fields (Set)): sets 7 fields: slackChannelId, teamsChannelId, gmailQuery…
- Get Slack Messages (Slack): search
- Get Teams Messages (Microsoft Teams): get many (channel message)
- Get Gmail Messages (Gmail): get many
- Get GitHub Activity (GitHub): get
- Get Confluence Pages (HTTP Request): calls an HTTP API
- Get Notion Pages (Notion): get many (database page)
- Merge: merges the data from its input branches
- AI Content Analyzer (AI Agent): runs an AI agent, with model: Anthropic Chat Model; output parser: Structured Output Parser
- Check If Valuable (If): checks a condition and branches into true / false
…plus 4 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (13)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - Slack
n8n-nodes-base.slack - Microsoft Teams
n8n-nodes-base.microsoftTeams - Gmail
n8n-nodes-base.gmail - GitHub
n8n-nodes-base.github - HTTP Request
n8n-nodes-base.httpRequest - Notion
n8n-nodes-base.notion - Merge
n8n-nodes-base.merge - AI Agent
@n8n/n8n-nodes-langchain.agent - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - If
n8n-nodes-base.if
From the author
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…