n8n-validation-expert

Interpret n8n validation errors and apply configurable validation profiles.

Updated Apr 2, 2026
One-click install
npx skills add https://github.com/jason23452/n8n --skill n8n-validation-expert-jason23452
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: n8n-validation-expert
Source: https://github.com/jason23452/n8n/tree/main/.opencode/skills/n8n-validation-expert
Command: npx skills add https://github.com/jason23452/n8n --skill n8n-validation-expert-jason23452

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a structured, repeatable approach to interpreting and fixing n8n validation errors, reducing guesswork and cycle time during workflow validation.

Core Features & Use Cases

  • Interprets common error types (missing_required, invalid_value, type_mismatch, invalid_expression, invalid_reference) and explains fixes.
  • Guides the validation loop with configurable profiles (minimal, runtime, ai-friendly, strict) and explains auto-sanitization behavior for operator structures.
  • Offers recovery strategies, handling false positives, and cross-skill guidance to resolve complex validation scenarios.

Quick Start

Run a validation on your workflow and apply the guided fixes until it reports valid.

Frequently Asked Questions about n8n-validation-expert

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I fix n8n workflow validation errors like type mismatches and invalid expressions?

Fix n8n workflow validation errors by identifying the specific error type, such as type_mismatch or invalid_expression, and applying targeted recovery patterns to correct the node configuration until validation succeeds.

What causes false positives during n8n workflow validation and how can I reduce them?

False positives in n8n workflow validation often stem from complex operator structures; applying auto-sanitization and selecting an appropriate validation profile reduces these false positives while maintaining production safety.

How do I choose the right n8n validation profile for my workflow debugging?

Choose the right n8n validation profile by matching your debugging context: use minimal for quick checks, runtime for execution errors, ai-friendly for automated processing, or strict for ensuring production safety.

What is the best way to resolve missing_required and invalid_reference errors in n8n?

The best way to resolve missing_required and invalid_reference errors in n8n is to interpret the validation output systematically and apply practical recovery patterns to repair the broken node references or populate missing fields.

Can I use auto-sanitization to fix invalid operator structures in n8n workflows?

Yes, you can use auto-sanitization to automatically clean invalid operator structures in n8n workflows, which helps reduce validation false positives and ensures the workflow configuration passes strict safety checks.