Load Prompts from Github Repo and auto populate n8n expressions

For GitHub, this workflow automates the retrieval of prompts from a repository, populates variables dynamically, and validates their presence before processing. It enhances efficiency by reducing manual input errors and streamlining the integration of AI-generated content, ultimately saving time and improving productivity.

7/8/2025
17 nodes
Complex
manualcomplexgithubextractfromfilestopanderrorlangchainsticky noteadvancedfilesstoragelogicconditional
Categories:
Complex WorkflowManual TriggeredTechnical Infrastructure & DevOps
Integrations:
GitHubExtractFromFileStopAndErrorLangChainSticky Note

Target Audience

  • Developers looking to automate interactions with GitHub repositories.
    - Content Creators needing to extract and manipulate prompt data for various applications.
    - Marketing Teams who require efficient keyword research and SEO content generation.
    - Data Analysts interested in automating the extraction of structured data from text files.
    - Small Business Owners who want to streamline their content creation processes without extensive coding knowledge.

    • Problem Solved

    This workflow automates the process of loading prompts from a GitHub repository and dynamically populating them with relevant variables. It addresses the challenges of:
    - Manual Data Entry: Reduces the need for manual input by fetching data directly from files.
    - Variable Management: Ensures that all necessary variables are present before proceeding, preventing errors in content generation.
    - Content Consistency: Maintains consistency in prompts by automatically replacing placeholders with defined variables.

    Workflow Steps

  • Trigger: The workflow starts when the user clicks ‘Test workflow’.
    2. Set Variables: Predefined variables such as account, repository, and prompt details are set using the Set node.
    3. Fetch Data: The GitHub node retrieves the specified file from the repository.
    4. Extract Content: The Extract from File node processes the file to extract the prompt text.
    5. Set Prompt: The extracted prompt text is assigned for further processing.
    6. Check Variables: The Check All Prompt Vars Present node verifies that all required variables are available.
    7. Conditional Logic: If all variables are present, the workflow continues; otherwise, it triggers an error message.
    8. Variable Replacement: The replace variables node replaces placeholders in the prompt with actual values from the set variables.
    9. Set Completed Prompt: The finalized prompt is prepared for the AI agent.
    10. AI Processing: The AI Agent node processes the prompt to generate a response.
    11. Output: The final response is captured and can be used as needed.

    • Customization Guide

    To customize this workflow:
    - Modify Variables: Adjust the values in the setVars node to fit your specific use case, such as changing the company name or product details.
    - Change Repository: Update the GitHub node parameters to point to a different repository or file path.
    - Adjust Prompts: Edit the file in the GitHub repository to change the content of the prompts being fetched.
    - Add More Variables: To include additional variables, update the setVars node and ensure they are referenced correctly in the replace variables node.
    - Error Handling: Customize the error messages in the Stop and Error node to provide more context or instructions for users.