⚙️ n8n Workflow Collection

A curated collection of n8n workflow templates (.json files) for automating real-world tasks like AI research, job notifications, and daily reminders.

Each workflow is designed to demonstrate practical automation skills — including advanced parallel processing, hybrid AI model integration, and database orchestration.

🧩 What is n8n?

n8n is a visual workflow automation platform that lets you connect APIs, databases, and services with minimal code.

It’s open-source and extensible, making it perfect for both personal automation and production pipelines.

🧠 What’s Inside

Each .json file in this repository represents a complete, ready-to-import workflow.

📦 n8n-workflows/

┣ 📄 Multi-Agent Research Modified.json  <-- ✨ NEW!

┣ 📄 Tool_ Travily API.json <-- ✨ NEW! (Dependency for Research Agent)

┣ 📄 Job Automation with Ai.json

┣ 📄 LinkedIn_AI_Job_Notifier.json

┣ 📄 Quran_Hadith_Reminder.json

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4️⃣ Multi-Model Research Agent (Hybrid Architecture)

An advanced, production-grade agentic workflow inspired by Jack Van Der Vall.

This workflow acts as a comprehensive research assistant that lives in Telegram. It uses a "Divide and Conquer" strategy to split a user's request into parallel tasks, executing them simultaneously to save time.

Key Features:

• Parallel Processing: Uses a Router -> Merge architecture to run Web Research and Dataset Hunting branches at the same time.

• Hybrid AI Intelligence: Orchestrates multiple models to balance cost and performance:

  • Grok (xAI): Used for high-speed reasoning and query refinement.

  • Gemini (Google): Used for large-context information extraction.

  • GPT-4o (OpenAI): Used for the final academic paper writing.

• Tool Integration:

  • Tavily API: Optimized web search for agents (replaced expensive Perplexity calls).

  • Supabase: Automatically logs every research topic, paper, and dataset link to a database.

  • Telegram Bot: Full interaction via chat; generates and sends a .md file to bypass Telegram's 4,096 character limit.

Main Workflow: Multi-Agent Research Modified.json

Required Tool: Tool_ Travily API.json (Import this separately as a Tool)

Preview:

1️⃣ LinkedIn AI Job Notifier

This workflow:

• Fetches job postings from LinkedIn RSS feeds
• Uses an AI model to analyze job descriptions against multiple resumes
• Sends Telegram notifications only for jobs that are a high match

File: LinkedIn_AI_Job_Notifier.json
Preview:

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2️⃣ Quran & Hadith Daily Reminder

This workflow:

• Sends a daily Quran verse or Hadith to Telegram
• Uses an AI reflection generator for a meaningful daily reminder
• Checks Google Sheets to avoid duplicates

File: Quran_Hadith_Reminder.json
Preview:

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3️⃣ AI-Powered Job Application Assistant

This is a comprehensive workflow that automates the entire job application process.

• Accepts job details (text, image, or PDF) via a simple n8n form
• Uses AI (Gemini) to parse the job post and extract key details (Title, Company)
• Selects the correct resume from Google Drive and extracts its text
• Uses a second AI (Gemini) call to write a professional, personalized email by matching the resume text to the job description
• Sends the application via Gmail with the correct resume PDF attached
• Logs the application as a new to-do item on a specific Notion page

File: Job Automation with Ai.json
Preview:

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🚀 How to Use These Workflows

Step 1: Install n8n

You can run n8n locally or with Docker.

Option A: Local (npm)

npm install -g n8n
n8n start

Option B: Docker

docker run -it --rm \
  -p 5678:5678 \
  -v ~/.n8n:/home/node/.n8n \
  n8nio/n8n

Once running, open your browser at 👉 http://localhost:5678

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Step 2: Import a Workflow

1. Open your n8n dashboard
2. Click “Import from File”
3. Select any .json file from this repository
4. The workflow will appear ready to configure

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Step 3: Add Your Own Credentials

Some workflows use APIs like Telegram, Gmail, Groq, or Google Drive. These credentials are never stored in the exported JSON — you’ll need to re-add them.

1. Open nodes with a ⚠️ warning
2. Click Credentials → Add New
3. Enter your API key or connection settings
4. Save and close

🔒 Note: All credentials remain local to your n8n instance. No sensitive data is included in these workflow files.

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Step 4: Run the Workflow

Click ▶ Execute Workflow to test. You’ll see live data flowing through each node in real time.

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🧾 Example Output

Each workflow outputs structured data similar to:

{
  "status": "success",
  "message": "Workflow executed successfully",
  "data": {...}
}

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💡 Tips & Best Practices

• 🧠 Duplicate workflows to test safely
• 🔗 Connect workflows with the Execute Workflow node
• 🕒 Use Cron triggers for scheduling
• 🌐 Use Webhooks or API triggers for event-based automation
• 🔐 Never commit .env files or API keys
• 💾 Backup your workflows periodically

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💼 For Recruiters & Reviewers

This repository showcases:

✅ API & service integrations

✅ Data processing & transformation

✅ LLM (AI) integration for intelligent automation

✅ Real, production-ready workflow design

✅ Clear structure & clean documentation

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🏷 License

This repository is open for educational and portfolio purposes. Feel free to fork, modify, and reuse the workflows for personal learning or inspiration.

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🌟 Author

Yamin Hossain 📧 LinkedIn | 💻 GitHub