🎯

n8n

🎯Skill

from rawveg/skillsforge-marketplace

VibeIndex|
What it does

Automates complex workflows by connecting nodes, transforming data, and integrating AI capabilities across various services and tools.

πŸ“¦

Part of

rawveg/skillsforge-marketplace(33 items)

n8n

Installation

DockerRun with Docker
docker run -it --rm \
πŸ“– Extracted from docs: rawveg/skillsforge-marketplace
12Installs
-
AddedFeb 4, 2026

Skill Details

SKILL.md

N8N Documentation - Workflow automation platform with AI capabilities

Overview

# N8N Skill

Comprehensive assistance with n8n development, generated from official documentation. n8n is a fair-code licensed workflow automation tool that combines AI capabilities with business process automation.

When to Use This Skill

This skill should be triggered when:

  • Building or debugging n8n workflows
  • Working with the Code node (JavaScript or Python)
  • Using expressions and data transformations
  • Implementing AI agents, chains, or RAG workflows
  • Configuring n8n deployments (Docker, npm, self-hosted)
  • Setting up webhooks, credentials, or integrations
  • Handling errors in workflows
  • Scaling n8n with queue mode
  • Creating custom nodes or white labeling n8n
  • Using the n8n API programmatically
  • Working with LangChain in n8n
  • Migrating to n8n v1.0

Key Concepts

Core Components

  • Workflows: Visual automation flows with nodes connected together
  • Nodes: Individual operations in a workflow (trigger, action, logic, etc.)
  • Expressions: Code snippets using {{ }} syntax to access and transform data
  • Credentials: Secure storage for API keys and authentication
  • Executions: Individual workflow runs with their data and status

Data Structure

  • n8n passes data between nodes as items (array of JSON objects)
  • Each item has a json property containing the main data
  • Binary data is stored separately in the binary property
  • Use $json to access current item's data in expressions

AI Capabilities

  • Agents: AI that can use tools and make decisions
  • Chains: Predefined sequences of AI operations
  • Memory: Store conversation history for context
  • Tools: Functions that AI agents can call
  • Vector Databases: Store and retrieve embeddings for RAG

Quick Reference

Example 1: Basic Expression to Access Data

```javascript

// Access data from the current item

{{ $json.name }}

// Access data from a specific node

{{ $node["HTTP Request"].json.response }}

// Access all items from a node

{{ $("HTTP Request").all() }}

```

Example 2: HTTP Request with Authentication

When working with the HTTP Request node, handle errors and rate limits:

```javascript

// In HTTP Request node settings:

// - Enable "Retry on Fail"

// - Set Max Tries to 3

// - Set Wait Between Tries (ms) to 1000

// For rate limiting, use Batching:

// - Items per Batch: 10

// - Batch Interval (ms): 1000

```

Example 3: Code Node - Transform Data (JavaScript)

```javascript

// Access input data

const items = $input.all();

// Transform each item

return items.map(item => {

return {

json: {

fullName: ${item.json.firstName} ${item.json.lastName},

email: item.json.email.toLowerCase(),

timestamp: new Date().toISOString()

}

};

});

```

Example 4: Code Node - Filter Data (Python)

```python

# Filter items based on a condition

output = []

for item in items:

if item['json']['status'] == 'active':

output.append({

'json': {

'id': item['json']['id'],

'name': item['json']['name']

}

})

return output

```

Example 5: Expression - Date Handling with Luxon

```javascript

// Current date

{{ $now }}

// Format date

{{ $now.toFormat('yyyy-MM-dd') }}

// Add 7 days

{{ $now.plus({ days: 7 }) }}

// Parse and format custom date

{{ DateTime.fromISO($json.dateString).toFormat('LLL dd, yyyy') }}

```

Example 6: JWT Authentication Credential

For APIs requiring JWT authentication:

```javascript

// Use JWT credential with:

// - Key Type: Passphrase (for HMAC) or PEM Key (for RSA/ECDSA)

// - Secret: Your secret key

// - Algorithm: HS256, RS256, ES256, etc.

// The JWT credential automatically generates tokens

// Use it in HTTP Request node > Authentication > JWT

```

Example 7: Handle Errors in Workflow

```javascript

// In Code node, use try-catch:

try {

const result = $json.data.someField.toUpperCase();

return [{ json: { result } }];

} catch (error) {

// Return error information

return [{

json: {

error: error.message,

originalData: $json

}

}];

}

// Or set up Error Workflow in Workflow Settings

// to catch all failures and send notifications

```

Example 8: Pagination in HTTP Request

```javascript

// Use pagination to fetch all pages

// In HTTP Request node > Pagination:

// Type: Generic Pagination

// Request URL: {{ $url }}&page={{ $pageNumber }}

// Complete When: {{ $response.body.hasMore === false }}

// Next Page URL: Automatic

```

Example 9: AI Agent with Tools

```javascript

// In AI Agent node:

// 1. Connect a Chat Model (OpenAI, etc.)

// 2. Add tools (Calculator, HTTP Request, etc.)

// 3. Configure memory if needed

// The agent can:

// - Analyze user input

// - Decide which tools to use

// - Execute tools and process results

// - Return final answer

```

Example 10: Environment Variables and Static Data

```javascript

// Access environment variables

{{ $env.MY_API_KEY }}

// Store workflow static data (persists across executions)

const staticData = getWorkflowStaticData('global');

staticData.lastRun = new Date().toISOString();

staticData.counter = (staticData.counter || 0) + 1;

// Retrieve static data

{{ $workflow.staticData.counter }}

```

Reference Files

This skill includes comprehensive documentation in references/:

  • llms-txt.md - Complete n8n documentation formatted for LLMs

- Installation and setup guides

- Node reference documentation

- API documentation

- Code examples and patterns

- Configuration options

- Troubleshooting guides

  • llms-full.md - Extended documentation with deep technical details

- Advanced configuration

- Scaling and performance

- Security and authentication

- Custom node development

- White labeling and embed options

Use view to read specific reference files when detailed information is needed.

Working with This Skill

For Beginners

  1. Start with basic workflow creation:

- Trigger nodes (Webhook, Schedule, Manual)

- Action nodes (HTTP Request, Set, Edit Fields)

- Learn expression syntax with simple {{ $json.field }} access

  1. Understand data structure:

- Each node outputs an array of items

- Use the data inspector to see item structure

- Practice with the Edit Fields node for data transformation

  1. Common patterns:

- Webhook β†’ HTTP Request β†’ Set β†’ Respond to Webhook

- Schedule β†’ Code β†’ HTTP Request β†’ Conditional

- Manual β†’ Loop Over Items β†’ Process Each

For Intermediate Users

  1. Master the Code node:

- JavaScript mode for complex transformations

- Access $input.all() for all items

- Return properly formatted items with json property

  1. Work with expressions:

- Use built-in methods: .first(), .last(), .item

- Date manipulation with Luxon

- JMESPath for complex JSON queries

  1. Error handling:

- Use Try-Catch in Code nodes

- Set up Error Workflows

- Configure Retry on Fail for API calls

  1. Data operations:

- Merge data from multiple sources

- Split and filter items

- Loop over items for batch processing

For Advanced Users

  1. AI and LangChain:

- Build AI agents with custom tools

- Implement RAG with vector databases

- Use memory for conversational workflows

- Chain multiple AI operations

  1. Scaling and performance:

- Configure queue mode for distributed execution

- Optimize database settings

- Use execution data pruning

- Configure task runners

  1. Custom development:

- Create custom nodes

- White label n8n for embedding

- Use the n8n API for workflow management

- Implement external secrets with AWS/Azure/GCP

  1. Advanced patterns:

- Sub-workflows for reusability

- Webhook authentication and validation

- Complex data transformations with JMESPath

- Real-time data processing with SSE/WebSockets

Common Issues and Solutions

HTTP Request Errors

  • 400 Bad Request: Check query parameters and array formatting
  • 403 Forbidden: Verify credentials and API permissions
  • 429 Rate Limit: Use Batching or Retry on Fail options
  • 404 Not Found: Verify endpoint URL is correct

Expression Errors

  • Workflows now fail on expression errors in v1.0+
  • Set up Error Workflows to catch failures
  • Test expressions in the expression editor
  • Check for undefined values before accessing properties

Data Type Issues

  • Use .toString(), .toNumber() for type conversion
  • Handle null/undefined with {{ $json.field || 'default' }}
  • Binary data requires special handling with buffers

Migration to v1.0

  • New execution order (depth-first instead of breadth-first)
  • Python support in Code node (Pyodide)
  • Mandatory user management (no more BasicAuth)
  • WebSocket push backend is now default
  • Node 18.17.0 or higher required

Environment Configuration

Docker Setup

```bash

# Basic n8n with Docker

docker run -it --rm \

--name n8n \

-p 5678:5678 \

-v ~/.n8n:/home/node/.n8n \

n8nio/n8n

# With environment variables

docker run -it --rm \

--name n8n \

-p 5678:5678 \

-e N8N_BASIC_AUTH_ACTIVE=true \

-e N8N_BASIC_AUTH_USER=admin \

-e N8N_BASIC_AUTH_PASSWORD=password \

-v ~/.n8n:/home/node/.n8n \

n8nio/n8n

```

Key Environment Variables

  • N8N_HOST: Hostname (default: localhost)
  • N8N_PORT: Port (default: 5678)
  • N8N_PROTOCOL: http or https
  • WEBHOOK_URL: External webhook URL
  • N8N_ENCRYPTION_KEY: Encryption key for credentials
  • DB_TYPE: Database type (sqlite, postgres)
  • EXECUTIONS_MODE: queue or main (queue for scaling)

Resources

Official Resources

  • [n8n Documentation](https://docs.n8n.io/)
  • [n8n Community Forum](https://community.n8n.io/)
  • [n8n Workflow Templates](https://n8n.io/workflows/)
  • [n8n GitHub Repository](https://github.com/n8n-io/n8n)

Learning Paths

  • Level One Course: Basic workflow building
  • Level Two Course: Advanced data handling and error management
  • Video Courses: Visual learning resources
  • AI Tutorial: Build AI workflows from scratch

API and Development

  • [API Reference](https://docs.n8n.io/api/api-reference/)
  • [Creating Custom Nodes](https://docs.n8n.io/integrations/creating-nodes/)
  • [Node Development](https://docs.n8n.io/integrations/creating-nodes/build/)

Notes

  • This skill was automatically generated from official n8n documentation
  • Code examples use proper language tags for syntax highlighting
  • Examples are extracted from real-world patterns in the docs
  • Focus on practical, actionable patterns for immediate use

Updating

To refresh this skill with updated documentation:

  1. Re-run the scraper with the same configuration
  2. The skill will be rebuilt with the latest information
  3. Review Quick Reference section for new examples