mfrostbutter/n8n-workflow-templates — explained in plain English
Analysis updated 2026-05-18
Import a workflow that turns Google Drive documents into searchable AI-ready data.
Automatically generate styled product photos from a plain image using AI.
Set up an AI-powered security alert triage pipeline from Wazuh alerts to Slack.
Run an automated cold-email outreach sequence for scored sales leads.
| mfrostbutter/n8n-workflow-templates | 920linjerry-stack/capital-studio | adya84/ha-world-cup-2026 | |
|---|---|---|---|
| Stars | 16 | 16 | 16 |
| Language | Python | Python | Python |
| Setup difficulty | moderate | easy | easy |
| Complexity | 3/5 | 3/5 | 2/5 |
| Audience | vibe coder | researcher | general |
Figures from each repo's GitHub metadata at analysis time.
Needs an n8n instance plus your own API credentials for each connected service.
This repository is a collection of ready-made automation workflows for n8n, a tool that lets people connect apps and services together without writing much code. Instead of building an automation from scratch, you import one of these workflows as a JSON file, connect your own accounts and API keys, and it is ready to run. Each workflow lives in its own folder with its own instructions covering setup and any tricky details. The collection covers a wide range of tasks. One workflow watches a Google Drive folder and turns documents like PDFs, Word files, or spreadsheets into searchable, tagged data stored in a vector database for AI search. Another turns a plain product photo into a styled studio-quality image using an AI model. Another reads security alerts from a monitoring tool called Wazuh and has an AI summarize the risk and suggest commands to investigate. There is also a fully automated social media poster that writes captions, generates images, and publishes to Facebook and Instagram on a schedule. Several workflows focus on sales and outreach. One pulls business leads from a Google Maps scrape, scores them, and only spends money looking up contact details for the most promising ones. A companion workflow then sends those leads a sequence of AI written follow up emails, pausing automatically if someone replies or unsubscribes. Another workflow takes a YouTube video link, pulls out the captions, and has an AI turn them into a structured research document saved to Google Drive. To use any of these, you open the workflow's JSON file, import it into n8n, and connect your own credentials since none are bundled with the templates. The project is released under the MIT license, so anyone can use, modify, or redistribute the workflows freely.
A library of ready-to-import n8n automation workflows for tasks like document search, AI image generation, security alerts, and lead outreach.
Mainly Python. The stack also includes n8n, Python, Qdrant.
Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.
Mainly vibe coder.
This repo across BitVibe Labs
Verify against the repo before relying on details.