Automated Engagement with Skool Community Posts

This n8n workflow automates the process of monitoring, analyzing, and engaging with posts within specific online communities, such as Skool. The workflow periodically fetches recent community posts, evaluates whether they present suitable opportunities for engagement using AI, and generates relevant comments to foster organic interaction. The process begins with retrieving configuration data from Airtable, followed by fetching community posts through an API. The posts are analyzed for potential engagement opportunities using OpenAI’s GPT-4.1 model, which assesses whether the post warrants a helpful comment based on predefined criteria and context. If deemed appropriate, the system generates tailored comments aimed at providing value without overt self-promotion. All results, including successful comment suggestions, are logged in Airtable for tracking and further analysis. This workflow is ideal for community managers, social media marketers, or online community moderators seeking to scale engagement intelligently and efficiently without manual effort.