Load Github Prompts and Auto-Populate n8n Expressions

Overview

This n8n workflow automates the process of loading prompts from a GitHub repository and dynamically populating them with variables before sending them to an AI agent. It starts by defining variables in a setVars node, then fetches a specified prompt file from GitHub using the GitHub node. The Extract from File node processes the content, which is then checked for variable completeness using Check All Prompt Vars Present. If all variables are present, the replace variables node substitutes placeholders in the prompt with the defined variables. An If node routes the workflow: if successful, the prompt is sent to an AI agent (like an Ollama model) for processing; if variables are missing, it stops with an error message indicating which variables are absent.

This workflow solves the problem of manually managing prompts and their associated variables. It enables more efficient and error-free dynamic content generation by ensuring all necessary data is available before execution and by leveraging external prompt repositories.