This n8n workflow automates the process of creating technical tutorials from trending GitHub repositories. Triggered weekly every Monday at 10 AM, it fetches top repositories via GitHub API, then uses AI language models to generate comprehensive tutorials based on those projects. The AI produces step-by-step guides with code snippets, which are parsed and formatted into WordPress draft posts. Additionally, the workflow sends notifications to the admin about new tutorials ready for review. This automation is perfect for developers, educators, or tech bloggers aiming to stay current and publish content effortlessly.

The workflow involves several key steps: starting with a schedule trigger, fetching trending repos through HTTP requests, generating tutorial content with AI-powered language models, parsing and formatting the AI output, and finally creating draft posts on WordPress while notifying relevant stakeholders. Overall, it offers a streamlined solution for continuously generating educational content from relevant open-source projects, saving time and ensuring a constant flow of updated tutorials.

Node Count	6 – 10 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, code, emailSend, httpRequest, scheduleTrigger, splitOut, stickyNote, wordpress