Summarize & Reply to Slack Channel Messages with Claude AI Assistant

This n8n workflow automates the process of summarizing Slack channel messages using Claude AI and then replying to the channel with the summary. It's designed to help keep team members informed about lengthy discussions without needing to read every message.

What it does

1. Receives Slack Messages: It listens for incoming messages from a configured Slack channel via a webhook.
2. Extracts Message Content: It extracts the relevant text content from the incoming Slack message.
3. Summarizes with Claude AI: The extracted message content is then sent to the Anthropic Claude AI model for summarization.
4. Replies to Slack: The generated summary from Claude AI is posted back to the original Slack channel.

Prerequisites/Requirements

• n8n Instance: A running n8n instance.
• Slack Account: A Slack workspace and a channel where the bot will listen and post.
• Anthropic API Key: An API key for the Anthropic Claude AI service. This will need to be configured as a credential in n8n for the "Anthropic Chat Model" node.
• Slack App/Webhook: A Slack App configured with a webhook URL that points to this n8n workflow's webhook trigger. The Slack App will need permissions to read messages and post to channels.

Setup/Usage

1. Import the Workflow: Import the provided JSON into your n8n instance.
2. Configure Webhook:
   • Once imported, activate the "Webhook" node.
   • Copy the "Webhook URL" provided by n8n.
   • In your Slack App settings, configure an "Outgoing Webhook" or an "Events API" subscription to send messages from your desired channel to this n8n webhook URL. Ensure the Slack App has the necessary permissions (e.g., channels:history, chat:write).
3. Configure Anthropic Credentials:
   • Click on the "Anthropic Chat Model" node.
   • Under "Credentials", select or create a new "Anthropic API" credential.
   • Enter your Anthropic API Key.
4. Configure Slack Reply:
   • The workflow currently uses a generic "HTTP Request" node to post back to Slack. You will need to configure this node:
     • Method: POST
     • URL: This should be a Slack Incoming Webhook URL for your channel, or a Slack API endpoint if you prefer.
     • Headers: Set Content-Type to application/json.
     • Body: Construct a JSON body that includes the summary from the "Basic LLM Chain" node. A typical Slack message body might look like:

       {
         "text": "Summary of recent messages: {{ $json.text }}"
       }
       

       (Adjust {{ $json.text }} based on the actual output field name from the LLM Chain node).
5. Activate the Workflow: Save and activate the workflow.

Now, when messages are posted in the configured Slack channel, the workflow will trigger, summarize them using Claude AI, and reply with the summary.