AI prompts
base on all of the workflows of n8n i could find (also from the site itself) # ⚡ N8N Workflow Collection & Documentation
A professionally organized collection of **2,053 n8n workflows** with a lightning-fast documentation system that provides instant search, analysis, and browsing capabilities.
> **⚠️ IMPORTANT NOTICE (Aug 14, 2025):** Repository history has been rewritten due to DMCA compliance. If you have a fork or local clone, please see [Issue 85](https://github.com/Zie619/n8n-workflows/issues/85) for instructions on syncing your copy.
>
## Support My Work
[](https://www.buymeacoffee.com/zie619)
If you'd like to say thanks, consider buying me a coffee—your support helps me keep improving this project!
## 🚀 **NEW: High-Performance Documentation System**
**Experience 100x performance improvement over traditional documentation!**
### Quick Start - Fast Documentation System
```bash
# Install dependencies
pip install -r requirements.txt
# Start the fast API server
python run.py
# Open in browser
http://localhost:8000
```
**Features:**
- ⚡ **Sub-100ms response times** with SQLite FTS5 search
- 🔍 **Instant full-text search** with advanced filtering
- 📱 **Responsive design** - works perfectly on mobile
- 🌙 **Dark/light themes** with system preference detection
- 📊 **Live statistics** - 365 unique integrations, 29,445 total nodes
- 🎯 **Smart categorization** by trigger type and complexity
- 🎯 **Use case categorization** by service name mapped to categories
- 📄 **On-demand JSON viewing** and download
- 🔗 **Mermaid diagram generation** for workflow visualization
- 🔄 **Real-time workflow naming** with intelligent formatting
### Performance Comparison
| Metric | Old System | New System | Improvement |
|--------|------------|------------|-------------|
| **File Size** | 71MB HTML | <100KB | **700x smaller** |
| **Load Time** | 10+ seconds | <1 second | **10x faster** |
| **Search** | Client-side only | Full-text with FTS5 | **Instant** |
| **Memory Usage** | ~2GB RAM | <50MB RAM | **40x less** |
| **Mobile Support** | Poor | Excellent | **Fully responsive** |
---
## 📂 Repository Organization
### Workflow Collection
- **2,053 workflows** with meaningful, searchable names
- **365 unique integrations** across popular platforms
- **29,445 total nodes** with professional categorization
- **Quality assurance** - All workflows analyzed and categorized
### Advanced Naming System ✨
Our intelligent naming system converts technical filenames into readable titles:
- **Before**: `2051_Telegram_Webhook_Automation_Webhook.json`
- **After**: `Telegram Webhook Automation`
- **100% meaningful names** with smart capitalization
- **Automatic integration detection** from node analysis
### Use Case Category ✨
The search interface includes a dropdown filter that lets you browse 2,000+ workflows by category.
The system includes an automated categorization feature that organizes workflows by service categories to make them easier to discover and filter.
### How Categorization Works
1. **Run the categorization script**
```
python create_categories.py
```
2. **Service Name Recognition**
The script analyzes each workflow JSON filename to identify recognized service names (e.g., "Twilio", "Slack", "Gmail", etc.)
3. **Category Mapping**
Each recognized service name is matched to its corresponding category using the definitions in `context/def_categories.json`. For example:
- Twilio → Communication & Messaging
- Gmail → Communication & Messaging
- Airtable → Data Processing & Analysis
- Salesforce → CRM & Sales
4. **Search Categories Generation**
The script produces a `search_categories.json` file that contains the categorized workflow data
5. **Filter Interface**
Users can then filter workflows by category in the search interface, making it easier to find workflows for specific use cases
### Available Categories
The categorization system includes the following main categories:
- AI Agent Development
- Business Process Automation
- Cloud Storage & File Management
- Communication & Messaging
- Creative Content & Video Automation
- Creative Design Automation
- CRM & Sales
- Data Processing & Analysis
- E-commerce & Retail
- Financial & Accounting
- Marketing & Advertising Automation
- Project Management
- Social Media Management
- Technical Infrastructure & DevOps
- Web Scraping & Data Extraction
### Contribute Categories
You can help expand the categorization by adding more service-to-category mappings (e.g., Twilio → Communication & Messaging) in context/defs_categories.json.
Many workflow JSON files are conveniently named with the service name, often separated by underscores (_).
---
## 🛠 Usage Instructions
### Option 1: Modern Fast System (Recommended)
```bash
# Clone repository
git clone <repo-url>
cd n8n-workflows
# Install Python dependencies
pip install -r requirements.txt
# Start the documentation server
python run.py
# Browse workflows at http://localhost:8000
# - Instant search across 2,053 workflows
# - Professional responsive interface
# - Real-time workflow statistics
```
### Option 2: Development Mode
```bash
# Start with auto-reload for development
python run.py --dev
# Or specify custom host/port
python run.py --host 0.0.0.0 --port 3000
# Force database reindexing
python run.py --reindex
```
### Import Workflows into n8n
```bash
# Use the Python importer (recommended)
python import_workflows.py
# Or manually import individual workflows:
# 1. Open your n8n Editor UI
# 2. Click menu (☰) → Import workflow
# 3. Choose any .json file from the workflows/ folder
# 4. Update credentials/webhook URLs before running
```
---
## 📊 Workflow Statistics
### Current Collection Stats
- **Total Workflows**: 2,053 automation workflows
- **Active Workflows**: 215 (10.5% active rate)
- **Total Nodes**: 29,445 (avg 14.3 nodes per workflow)
- **Unique Integrations**: 365 different services and APIs
- **Database**: SQLite with FTS5 full-text search
### Trigger Distribution
- **Complex**: 831 workflows (40.5%) - Multi-trigger systems
- **Webhook**: 519 workflows (25.3%) - API-triggered automations
- **Manual**: 477 workflows (23.2%) - User-initiated workflows
- **Scheduled**: 226 workflows (11.0%) - Time-based executions
### Complexity Analysis
- **Low (≤5 nodes)**: ~35% - Simple automations
- **Medium (6-15 nodes)**: ~45% - Standard workflows
- **High (16+ nodes)**: ~20% - Complex enterprise systems
### Popular Integrations
Top services by usage frequency:
- **Communication**: Telegram, Discord, Slack, WhatsApp
- **Cloud Storage**: Google Drive, Google Sheets, Dropbox
- **Databases**: PostgreSQL, MySQL, MongoDB, Airtable
- **AI/ML**: OpenAI, Anthropic, Hugging Face
- **Development**: HTTP Request, Webhook, GraphQL
---
## 🔍 Advanced Search Features
### Smart Search Categories
Our system automatically categorizes workflows into 12 service categories:
#### Available Categories:
- **messaging**: Telegram, Discord, Slack, WhatsApp, Teams
- **ai_ml**: OpenAI, Anthropic, Hugging Face
- **database**: PostgreSQL, MySQL, MongoDB, Redis, Airtable
- **email**: Gmail, Mailjet, Outlook, SMTP/IMAP
- **cloud_storage**: Google Drive, Google Docs, Dropbox, OneDrive
- **project_management**: Jira, GitHub, GitLab, Trello, Asana
- **social_media**: LinkedIn, Twitter/X, Facebook, Instagram
- **ecommerce**: Shopify, Stripe, PayPal
- **analytics**: Google Analytics, Mixpanel
- **calendar_tasks**: Google Calendar, Cal.com, Calendly
- **forms**: Typeform, Google Forms, Form Triggers
- **development**: Webhook, HTTP Request, GraphQL, SSE
### API Usage Examples
```bash
# Search workflows by text
curl "http://localhost:8000/api/workflows?q=telegram+automation"
# Filter by trigger type and complexity
curl "http://localhost:8000/api/workflows?trigger=Webhook&complexity=high"
# Find all messaging workflows
curl "http://localhost:8000/api/workflows/category/messaging"
# Get database statistics
curl "http://localhost:8000/api/stats"
# Browse available categories
curl "http://localhost:8000/api/categories"
```
---
## 🏗 Technical Architecture
### Modern Stack
- **SQLite Database** - FTS5 full-text search with 365 indexed integrations
- **FastAPI Backend** - RESTful API with automatic OpenAPI documentation
- **Responsive Frontend** - Modern HTML5 with embedded CSS/JavaScript
- **Smart Analysis** - Automatic workflow categorization and naming
### Key Features
- **Change Detection** - MD5 hashing for efficient re-indexing
- **Background Processing** - Non-blocking workflow analysis
- **Compressed Responses** - Gzip middleware for optimal speed
- **Error Handling** - Graceful degradation and comprehensive logging
- **Mobile Optimization** - Touch-friendly interface design
### Database Performance
```sql
-- Optimized schema for lightning-fast queries
CREATE TABLE workflows (
id INTEGER PRIMARY KEY,
filename TEXT UNIQUE,
name TEXT,
active BOOLEAN,
trigger_type TEXT,
complexity TEXT,
node_count INTEGER,
integrations TEXT, -- JSON array of 365 unique services
description TEXT,
file_hash TEXT, -- MD5 for change detection
analyzed_at TIMESTAMP
);
-- Full-text search with ranking
CREATE VIRTUAL TABLE workflows_fts USING fts5(
filename, name, description, integrations, tags,
content='workflows', content_rowid='id'
);
```
---
## 🔧 Setup & Requirements
### System Requirements
- **Python 3.7+** - For running the documentation system
- **Modern Browser** - Chrome, Firefox, Safari, Edge
- **50MB Storage** - For SQLite database and indexes
- **n8n Instance** - For importing and running workflows
### Installation
```bash
# Clone repository
git clone <repo-url>
cd n8n-workflows
# Install dependencies
pip install -r requirements.txt
# Start documentation server
python run.py
# Access at http://localhost:8000
```
### Development Setup
```bash
# Create virtual environment
python3 -m venv .venv
source .venv/bin/activate # Linux/Mac
# or .venv\Scripts\activate # Windows
# Install dependencies
pip install -r requirements.txt
# Run with auto-reload for development
python api_server.py --reload
# Force database reindexing
python workflow_db.py --index --force
```
---
## 📋 Naming Convention
### Intelligent Formatting System
Our system automatically converts technical filenames to user-friendly names:
```bash
# Automatic transformations:
2051_Telegram_Webhook_Automation_Webhook.json → "Telegram Webhook Automation"
0250_HTTP_Discord_Import_Scheduled.json → "HTTP Discord Import Scheduled"
0966_OpenAI_Data_Processing_Manual.json → "OpenAI Data Processing Manual"
```
### Technical Format
```
[ID]_[Service1]_[Service2]_[Purpose]_[Trigger].json
```
### Smart Capitalization Rules
- **HTTP** → HTTP (not Http)
- **API** → API (not Api)
- **webhook** → Webhook
- **automation** → Automation
- **scheduled** → Scheduled
---
## 🚀 API Documentation
### Core Endpoints
- `GET /` - Main workflow browser interface
- `GET /api/stats` - Database statistics and metrics
- `GET /api/workflows` - Search with filters and pagination
- `GET /api/workflows/{filename}` - Detailed workflow information
- `GET /api/workflows/{filename}/download` - Download workflow JSON
- `GET /api/workflows/{filename}/diagram` - Generate Mermaid diagram
### Advanced Search
- `GET /api/workflows/category/{category}` - Search by service category
- `GET /api/categories` - List all available categories
- `GET /api/integrations` - Get integration statistics
- `POST /api/reindex` - Trigger background reindexing
### Response Examples
```json
// GET /api/stats
{
"total": 2053,
"active": 215,
"inactive": 1838,
"triggers": {
"Complex": 831,
"Webhook": 519,
"Manual": 477,
"Scheduled": 226
},
"total_nodes": 29445,
"unique_integrations": 365
}
```
---
## 🤝 Contributing
### Adding New Workflows
1. **Export workflow** as JSON from n8n
2. **Name descriptively** following the established pattern
3. **Add to workflows/** directory
4. **Remove sensitive data** (credentials, personal URLs)
5. **Run reindexing** to update the database
### Quality Standards
- ✅ Workflow must be functional and tested
- ✅ Remove all credentials and sensitive data
- ✅ Follow naming convention for consistency
- ✅ Verify compatibility with recent n8n versions
- ✅ Include meaningful description or comments
---
## ⚠️ Important Notes
### Security & Privacy
- **Review before use** - All workflows shared as-is for educational purposes
- **Update credentials** - Replace API keys, tokens, and webhooks
- **Test safely** - Verify in development environment first
- **Check permissions** - Ensure proper access rights for integrations
### Compatibility
- **n8n Version** - Compatible with n8n 1.0+ (most workflows)
- **Community Nodes** - Some workflows may require additional node installations
- **API Changes** - External services may have updated their APIs since creation
- **Dependencies** - Verify required integrations before importing
---
## 📚 Resources & References
### Workflow Sources
This comprehensive collection includes workflows from:
- **Official n8n.io** - Documentation and community examples
- **GitHub repositories** - Open source community contributions
- **Blog posts & tutorials** - Real-world automation patterns
- **User submissions** - Tested and verified workflows
- **Enterprise use cases** - Business process automations
### Learn More
- [n8n Documentation](https://docs.n8n.io/) - Official documentation
- [n8n Community](https://community.n8n.io/) - Community forum and support
- [Workflow Templates](https://n8n.io/workflows/) - Official template library
- [Integration Docs](https://docs.n8n.io/integrations/) - Service-specific guides
---
## 🏆 Project Achievements
### Repository Transformation
- **2,053 workflows** professionally organized and named
- **365 unique integrations** automatically detected and categorized
- **100% meaningful names** (improved from basic filename patterns)
- **Zero data loss** during intelligent renaming process
- **Advanced search** with 12 service categories
### Performance Revolution
- **Sub-100ms search** with SQLite FTS5 full-text indexing
- **Instant filtering** across 29,445 workflow nodes
- **Mobile-optimized** responsive design for all devices
- **Real-time statistics** with live database queries
- **Professional interface** with modern UX principles
### System Reliability
- **Robust error handling** with graceful degradation
- **Change detection** for efficient database updates
- **Background processing** for non-blocking operations
- **Comprehensive logging** for debugging and monitoring
- **Production-ready** with proper middleware and security
---
*This repository represents the most comprehensive and well-organized collection of n8n workflows available, featuring cutting-edge search technology and professional documentation that makes workflow discovery and usage a delightful experience.*
**🎯 Perfect for**: Developers, automation engineers, business analysts, and anyone looking to streamline their workflows with proven n8n automations.
---
[中文](./README_ZH.md)
", Assign "at most 3 tags" to the expected json: {"id":"14817","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"