Fetch Dynamic GitHub Prompts & Auto-Populate n8n Expressions

This n8n workflow enables AI engineers and automation specialists to dynamically manage prompts stored in GitHub repositories. It eliminates manual updates by fetching text-based prompts containing n8n expression placeholders (e.g., {{ $json.company }}), validating all required variables against a setVars node, and automatically replacing them before passing the fully processed prompt to an AI agent.

The workflow features three key branches for robust operation: (1) Retrieve the prompt via HTTP Request to GitHub, extract content with Extract from File node, and store it in SetPrompt node; (2) Use a Code node to scan for placeholders, check all prompt variables for presence in setVars, and proceed only if complete; (3) Replace variables and forward the formatted prompt to AI processing, ensuring error-free execution.

Benefits include enforced variable checks to prevent incomplete prompts, scalability for teams managing multiple prompts across repos, and time savings by automating what would otherwise be tedious copy-paste and replacement tasks. Ideal use cases: AI content generation pipelines, dynamic chatbot responses, automated reporting with personalized prompts, or any scenario requiring version-controlled, variable-driven AI interactions in n8n.