Habilidades n8n-code-python
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n8n-code-python

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Write Python Code in n8n Code Nodes

Create Python-powered automation workflows in n8n using standard library functions. Learn the correct syntax, data access patterns, and limitations for Python Code nodes.

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A utilizar "n8n-code-python". Transform all items to add a processed flag and uppercase the name field

Resultado esperado:

  • Python Code node returns: [{"json": {"id": 1, "name": "ALICE", "processed": true}}, {"json": {"id": 2, "name": "BOB", "processed": true}}]

A utilizar "n8n-code-python". Calculate total and count from items with amount fields

Resultado esperado:

  • Python Code node returns: [{"json": {"total": 150, "count": 5, "average": 30}}]

Auditoria de Segurança

Seguro
v1 • 2/25/2026

Static analysis flagged 124 patterns but all are false positives. The SKILL.md file is documentation only, not executable code. Markdown code fences (```python) were incorrectly detected as shell backticks. URL references are documentation links. hashlib references show available standard library modules. No actual security risks exist.

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Auditado por: claude

Pontuação de qualidade

38
Arquitetura
100
Manutenibilidade
87
Conteúdo
50
Comunidade
100
Segurança
91
Conformidade com especificações

O Que Você Pode Construir

Data Transformation in Automation Workflows

Transform and aggregate data from previous workflow nodes using Python list comprehensions and built-in functions.

Statistical Analysis of Workflow Data

Calculate mean, median, and standard deviation from workflow data using Python statistics module.

Data Validation and Cleaning

Validate incoming data with regex patterns and safe dictionary access using .get() methods.

Tente Estes Prompts

Basic Python Code Node Setup 
Help me create a basic Python Code node in n8n that processes incoming items and adds a timestamp field to each item.
Data Aggregation with Python 
Write Python code for n8n that calculates the sum and average of an 'amount' field across all input items.
Regex Pattern Extraction 
Create Python code that extracts email addresses from text fields using regex in an n8n Code node.
Webhook Data Processing with Error Handling 
Write robust Python code for n8n that safely accesses webhook body data with proper error handling for missing fields.

Melhores Práticas

  • Always use .get() for dictionary access to avoid KeyError on missing fields
  • Return data in the required format: list of dictionaries with 'json' key
  • Consider JavaScript first - use Python only when standard library functions are needed
  • Use list comprehensions for efficient filtering and transformation of items

Evitar

  • Attempting to import external libraries like requests or pandas - these will fail with ModuleNotFoundError
  • Returning a dictionary without wrapping in a list - n8n requires [{"json": ...}] format
  • Accessing webhook data directly via _json['field'] instead of _json['body']['field']

Perguntas Frequentes

Can I use external Python libraries like requests or pandas in n8n Code nodes?
No, n8n Python Code nodes only support the standard library. For HTTP requests, use an HTTP Request node before the Code node or switch to JavaScript which has $helpers.httpRequest().
What is the correct return format for Python Code nodes?
Always return a list of dictionaries where each dictionary has a 'json' key. Example: return [{"json": {"field": "value"}}]
Why is my webhook data returning KeyError when I access _json['email']?
Webhook data is nested under the 'body' key. Access it as _json['body']['email'] or use _json.get('body', {}).get('email') for safe access.
Should I use Python or JavaScript for n8n Code nodes?
JavaScript is recommended for 95% of use cases because it has full access to n8n helper functions and Luxon date library. Use Python only when you need specific standard library functions.
How do I access data from previous nodes in Python Code nodes?
Use _input.all() to get all items, _input.first() for the first item, or _node['NodeName']['json'] to reference a specific node's output.
What Python modules are available in n8n Code nodes?
Standard library modules including json, datetime, re, base64, hashlib, urllib.parse, math, random, and statistics are available.

Detalhes do Desenvolvedor

Autor

sickn33

Licença

MIT

Repositório

https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/n8n-code-python

Referência

main

Estrutura de arquivos

📄 SKILL.md