GitHub Prompt Automation Workflow

• 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.

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.

1. 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.