GitHub Prompt Loader and Variable Replacer
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Loads prompts from a GitHub repository and populates them with dynamic variables.
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About This Workflow
Overview
This workflow automates the process of fetching prompt files from a GitHub repository, checking for the presence of required variables, and replacing placeholders within the prompt text with actual values. It's designed to dynamically generate prompts for AI agents or other downstream processes by leveraging GitHub as a central source for prompt templates.
Key Features
- Fetches prompt files directly from a specified GitHub repository and path.
- Dynamically identifies variable placeholders within prompt text (e.g.,
{{ variableName }}). - Validates that all required variables are present in the workflow's configuration.
- Stops and throws an error if essential variables are missing, providing a clear list of what's absent.
- Replaces identified placeholders with provided variable values.
- Outputs the fully populated prompt for further use.
How To Use
- Configure GitHub Credentials: Set up your GitHub API credentials in n8n.
- Define Variables: In the
setVarsnode, define the variables that will be used to populate your prompts (e.g.,company,product,features,sector). - Specify GitHub Details: In the
setVarsnode, set theowner,repo,path, andpromptfilename for the prompt you want to load. - Trigger Workflow: Run the workflow manually or via an external trigger.
- Review Output: If all variables are present, the workflow will output the completed prompt. If variables are missing, it will halt with an error message indicating the missing keys.
Apps Used
Workflow JSON
{
"id": "71651951-be7c-4fe9-8049-0597d0471d5d",
"name": "GitHub Prompt Loader and Variable Replacer",
"nodes": 0,
"category": "AI & Machine Learning",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 71651951-be7c...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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