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$7
# Content generation via Ollama using GitHub prompt templates with variables

This automation workflow enables centralized management of prompt templates and their dynamic execution via a local LLM. Designed for teams aiming to standardize content generation (SEO, product descriptions, analysis) using Git as the single source of truth for prompts.

## Who it´s for
- Developers using local AI models for content generation
- Marketers automating SEO text creation from templates
- Teams centralizing prompt management in Git repositories

## What the automation does
- Triggered manually on demand
- Fetches prompt templates from a public GitHub repository
- Extracts variables in {{variable}} format and validates presence in settings
- Replaces placeholders with values from the setVars node
- Passes the final prompt to an AI agent powered by Ollama and LangChain
- Returns the model’s response as output

## What´s included
- Ready-to-use n8n workflow
- Trigger and handler logic via JavaScript code nodes
- Integrations with GitHub API and Ollama
- Basic textual guide for setup and adaptation

## Requirements for setup
- Access to an n8n instance (self-hosted or cloud)
- Running Ollama instance with a loaded LLM
- Public GitHub repository containing prompt template files
- Basic familiarity with n8n and JSON configuration

## Benefits and outcomes
- Centralized, version-controlled prompt storage in Git
- Dynamic injection of real-time data (product, company, sector)
- Validation of required variables before AI execution
- Consistent, repeatable model outputs
- Quick template updates without code changes
- Reduced errors due to missing variables

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via chat
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