What problem does it solve? Writing Python in n8n Code nodes fails frequently because of hidden constraints: no external libraries, webhook data nested under "body", strict return format requirements, and KeyError/IndexError crashes from unsafe data access. This Skill provides the patterns and error-prevention guidance needed to write working Python Code nodes on the first attempt. ## Core Features & Use Cases - Data Access Patterns: Complete guidance on _input.all(), _input.first(), _input.item, and _node references, including the critical webhook "body" nesting gotcha. - Standard Library Reference: Documents available modules (json, datetime, re, base64, hashlib, urllib.parse, statistics) and workarounds for missing libraries like requests and pandas. - Error Prevention: Covers the top 5 Python Code node errors (ModuleNotFoundError, missing return, KeyError, IndexError, wrong return format) with fixes. - Use Case: You receive webhook data and need to filter, transform, and aggregate it in Python. The Skill shows you to access _input.first()["json"]["body"], use .get() for safe dictionary access, and return [{"json": {...}}] format. ## Quick Start Ask the AI to write a Python Code node that processes webhook data and returns filtered results in the correct n8n format.
