automation-n8n-webhook-workflow

Sub-skill of automation: n8n Webhook Workflow (+3).

5 stars

Best use case

automation-n8n-webhook-workflow is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Sub-skill of automation: n8n Webhook Workflow (+3).

Teams using automation-n8n-webhook-workflow should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/n8n-webhook-workflow/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/development/automation/automation/n8n-webhook-workflow/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/n8n-webhook-workflow/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How automation-n8n-webhook-workflow Compares

Feature / Agentautomation-n8n-webhook-workflowStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Sub-skill of automation: n8n Webhook Workflow (+3).

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# n8n Webhook Workflow (+3)

## n8n Webhook Workflow


```json
{
  "nodes": [
    {
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "parameters": {
        "path": "incoming-data",
        "httpMethod": "POST"
      }

*See sub-skills for full details.*

## Airflow DAG Definition


```python
from airflow import DAG
from airflow.operators.python import PythonOperator
from datetime import datetime, timedelta

default_args = {
    'owner': 'data-team',
    'retries': 3,
    'retry_delay': timedelta(minutes=5)
}

*See sub-skills for full details.*

## GitHub Actions Workflow


```yaml
name: CI Pipeline

on:
  push:
    branches: [main]
  pull_request:
    branches: [main]

jobs:

*See sub-skills for full details.*

## Windmill Script Workflow


```typescript
// windmill script with auto-generated UI
export async function main(
  database_url: string,
  table_name: string,
  limit: number = 100
): Promise<Record<string, any>[]> {
  const client = new Client(database_url);

  const result = await client.query(

*See sub-skills for full details.*

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