AI-Powered Content Generation from RSS Feeds via Slack Command - n8n Workflow

Content marketers who need quick, data-driven ideas for daily social media posts.
Teams leveraging the n8n automation platform for integrated communication and AI tasks.
Agencies focusing on specific industry verticals (like hospitality tech) who rely on real-time news.
Users looking for advanced examples of how to build interactive, command-based systems using an n8n trigger in Slack.

Generating relevant, timely content often involves sifting through hundreds of headlines. This robust n8n workflow solves this problem by connecting multiple RSS feeds, processing them with Google Gemini AI, and creating a feedback loop entirely within Slack. The automation is initiated using a dedicated n8n trigger that listens for a simple command (like start). The resulting list of AI-clustered topics is presented in Slack, allowing users to select a concept (e.g., gen 5), which then prompts the AI to write a full LinkedIn-style draft. This is a prime example of leveraging n8n templates for efficient, conversational automation, significantly boosting content velocity while keeping the team inside their preferred communication tool.

This complex n8n workflow operates in two main stages, driven by a Slack n8n trigger:

1. Stage 1: Topic Generation (start command):

To deploy this comprehensive n8n templates solution, follow these steps:

1. Import the n8n workflow: Copy the provided JSON code and paste it into your n8n instance using the 'New' -> 'Import from JSON' option.


2. Configure Credentials:

1. Set up the Slack Trigger: In the Slack: Incoming messages n8n node, select your Slack Bot credential and ensure the channelId parameter points to the correct collaboration channel where commands will be issued. Activate the n8n trigger.


2. Review Code and RSS Feeds: Review the RSS Read n8n nodes to ensure the feed URLs are relevant to your needs. The Code n8n nodes are pre-configured for parsing and normalization, but may need minor adjustments if you change the command structure.

Slack: Incoming messages (n8n trigger): The starting point of the n8n workflow. Configured to listen for new messages in a specific channel, routing the payload to be analyzed.
Code: parseslackcommand (n8n node): Essential for extracting commands like start or gen N from the raw Slack payload, making the n8n workflow interactive.
RSS Read (x3): Three different n8n node instances fetch specialized industry news feeds. This provides the raw data input for the AI analysis.
Merge: allfeeds: Combines the output from all three RSS feeds before processing.
Code: makeheadlinepayload (n8n node): Cleans, deduplicates, and truncates the headlines, limiting the dataset to 60 items to create an optimal prompt payload for the subsequent AI step.
Gemini: clustertotopics: A core AI n8n node using Gemini 1.5 Flash. It takes the headlines and produces a strict JSON array of 10-30 paraphrased topics, serving as the content strategy brainstormer.
Switch: routebycommand: Directs the flow based on the command parsed by the initial Code n8n node, enabling dynamic routing within the n8n workflow.
Slack: fetchthreadreplies: Used to retrieve the entire thread history, which is critical for the gen command to find the original topic list posted by the bot.
Code: picktopicfromthread (n8n node): A complex code n8n node designed to read the user's numeric selection from the trigger payload and match it against the topic list found in the thread history, ensuring context is maintained.
Gemini: write_draft: The second AI n8n node, responsible for generating a 250-350 word draft based on the selected topic and incorporating contextual data from the original headlines.