Block 1 - Schedule Trigger
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.3
This workflow is provided as-is. Please review and test before using in production.
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 d...
n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, n8n-nodes-base.slack, n8n-nodes-base.microsoftteams, n8n-nodes-base.gmail, n8n-nodes-base.github, n8n-nodes-base.httprequest, n8n-nodes-base.notion
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.
Original n8n.io sourceAggregates 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. The workflow begins with a scheduled trigger, followed by multi-source data collection, merging and normalizing inputs, Claude AI-powered analysis, validation and quality checks, formatting, and finally publishing updates to Notion and Confluence, accompanied by Slack notifications to ensure stakeholders are promptly informed.
-Connect credentials: Slack API, Teams, Gmail OAuth, GitHub PAT. -Confluence API, Anthropic API key, Notion Integration. -Configure monitored channels/repositories. -Set schedule frequency. -Map output destinations (Notion/Confluence). -Test merged output before enabling automation.
Slack workspace, Teams account, Gmail access, GitHub repository, Confluence space, Anthropic API key, Notion workspace, n8n instance.
Content review teams processing feedback, documentation teams aggregating updates, QA teams reviewing communications
Add/remove source nodes, adjust Claude prompts for analysis type, modify output destinations
Saves 6+ hours weekly, eliminates missed content, AI-driven quality assurance
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 26 workflow blocks. Download the JSON for the full node graph.
| Workflow | Aggregate & update documentation from Slack, Teams & GitHub with Claude Sonnet 4.5 |
|---|---|
| Complexity | advanced |
| Nodes | 26 |
| Categories | Document Extraction, AI Summarization |
| Author | Cheng Siong Chin |
| Published | 14 Dec 2025 |
Use the JSON export at /data/workflows/11780/11780.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
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 d...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI Summarization use case.