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Practical guidance and templates for writing Python code inside n8n Code nodes—covers data access patterns, return format, limitations (no external libraries),
Provides expert guidance for authoring Python code in n8n Code nodes, including templates, data-access patterns (_input/_json/_node), return-format requirements, and a checklist of common mistakes to avoid. It explains Python vs JavaScript trade-offs and lists useful standard-library modules available in n8n.
Use this skill when you need to write Python inside an n8n Code node for data transformation, filtering, aggregation, or light validation—especially when Python's standard library simplifies a task. Prefer JavaScript for HTTP-heavy workflows or when n8n helpers are required.
Inference: Works with agents that run or author n8n workflows and can edit code nodes (e.g., Copilot-style IDE assistants, code-authoring agents).
A comprehensive reference skill for writing Python code inside n8n Code nodes, covering data access patterns, return format requirements, limitations (no external libraries), common errors, and best practices. No scripts included — purely a documentation/template skill. Well-structured content with clear examples, though it references additional .md files (DATA_ACCESS.md, COMMON_PATTERNS.md, etc.) that aren't bundled. Niche audience: n8n users who specifically need Python Code nodes.
Pure documentation/template skill with no executable scripts. Security score is high since there's nothing executable — no shell commands, no network calls, no credentials. Code quality is good with clear examples and anti-patterns, but the external file references reduce completeness. Architecture is decent — has frontmatter and organized sections — but references external files not bundled, and the Obsidian wikilinks are vault-specific. Usefulness is moderate: well-written for its niche, but n8n Python Code nodes are a very specific use case and the skill itself recommends JavaScript for most scenarios.
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