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N8n skills

Skill nicepkg/ai-workflow/workflows/video-creator-workflow/.claude/skills/n8n-skills

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Install
npx -y skills add nicepkg/ai-workflow --skill n8n-skills

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What its author says it does

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n8n workflow automation knowledge base. Provides n8n node information, node functionality details, workflow patterns, and configuration examples. Covers triggers, data transformation, data input/output, AI integration, covering 10 nodes. Keywords: n8n, workflow, automation, node, trigger, webhook, http request, database, ai agent.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

4.4 KB, 896 tokens by cl100k_base, as published. Nobody here has run it

n8n Workflow Automation Skill Pack

Overview

This skill helps with:

  • Understanding n8n node functionality and usage
  • Finding nodes suitable for specific tasks
  • Learning common workflow patterns
  • Getting node configuration examples
  • Solving workflow design problems

This skill includes:

  • Detailed information on the 10 most commonly used built-in n8n nodes
  • 30+ popular community packages for extended functionality
  • Node configuration examples and best practices
  • Common workflow patterns
  • Node categorization and indexing for both built-in and community nodes

Table of Contents

Common Workflow Patterns

Here are some common workflow patterns you can use as a starting point:

1. HTTP Data Fetching

Fetch data from APIs and process it

Nodes used:

  • HTTP Request
  • Set
  • IF

Example: Use HTTP Request node to fetch data from external APIs, Set node to transform formats, and IF node for conditional logic

2. Email Automation

Monitor emails and auto-respond or forward

Nodes used:

  • Email Trigger (IMAP)
  • Gmail
  • IF

Example: Use Email Trigger to monitor inbox, IF node to filter specific conditions, and Gmail node to auto-reply or forward

3. Database Synchronization

Sync data between different systems

Nodes used:

  • Schedule Trigger
  • HTTP Request
  • Postgres
  • MySQL

Example: Scheduled trigger to read data from one database, transform it, and write to another database

4. Webhook Processing

Receive external webhooks and trigger actions

Nodes used:

  • Webhook
  • Set
  • HTTP Request
  • Slack

Example: Receive webhook events, process data, and send notifications to Slack or other systems

5. AI Assistant Integration

Use AI models to process and generate content

Nodes used:

  • AI Agent
  • OpenAI
  • Vector Store
  • Embeddings OpenAI

Example: Build AI assistants to handle user queries, integrate vector databases for semantic search

6. File Processing

Automatically process and transform files

Nodes used:

  • Google Drive Trigger
  • Extract from File
  • Move Binary Data
  • Dropbox

Example: Monitor Google Drive for new files, extract and process content, then upload to Dropbox

Complete Template Library

We have collected 20 popular workflow templates from n8n.io, categorized by use case:

See the complete template index for all available templates.

License and Attribution

This Skill Pack License

This skill pack project is licensed under the MIT License. See: https://github.com/haunchen/n8n-skills/blob/main/LICENSE

Important Notice

This is an unofficial educational project and is not affiliated with n8n GmbH.

This skill content is generated based on the following resources:

  • n8n node type definitions (Sustainable Use License)
  • n8n official documentation (MIT License)
  • n8n-mcp project architecture (MIT License)

For detailed attribution information, please refer to the ATTRIBUTIONS.md file in the project.

About n8n

n8n is an open-source workflow automation platform developed and maintained by n8n GmbH.

When using n8n software, you must comply with n8n's license terms. See: https://github.com/n8n-io/n8n/blob/master/LICENSE.md

What ships with it: 112 files

2670.4 KB alongside SKILL.md

resources/

72 more files not listed here. See all 112 in the repository.

Gives 0 of the 12 instructions most automation workflows skills give in 896 tokens

Counted across 745 of the 1,008 authors here whose files we hold, read 2026-08-07

  • Write conventional commit messagesin 36 of 745, across 35 files
  • Delete branches after mergein 30 of 745, across 21 files
  • Make atomic commitsin 25 of 745, across 15 files
  • Write minimal code to pass testsin 22 of 745, across 10 files
  • Re-snapshot after navigation or DOM changesin 21 of 745, across 13 files
  • Use try-catch for error handlingin 20 of 745, across 8 files
  • Run tests before committingin 20 of 745, across 12 files
  • Write tests before implementationin 20 of 745, across 8 files
  • Configure branch protection rulesin 19 of 745, across 5 files
  • Explain the why in commit messagesin 19 of 745, across 9 files
  • Refactor code while tests remain greenin 19 of 745, across 6 files
  • Interact with elements using refsin 19 of 745, across 11 files

Said here and by no other author read

  • fetch data from external APIs
  • monitor inboxes and auto-respond to emails
  • synchronize data between databases
  • process incoming webhook events
  • integrate AI models for content processing
  • process and transform files automatically

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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