N8n validation expert
Awesome Claude Skills, Tools for Customizing Claude AI workflows
npx -y skills add ranbot-ai/awesome-skills --skill n8n-validation-expertAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 6 stars6 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Expert guide for interpreting and fixing n8n validation errors.
SKILL.md
5.3 KB, ~1.3k tokens by cl100k_base, as published. Nobody here has run it
n8n Validation Expert
Expert guide for interpreting and fixing n8n validation errors.
When to Use
- You need to interpret or fix validation errors in an n8n workflow.
- The task involves
missing_required,invalid_value, expression failures, or iterative validate-fix loops. - You want concrete remediation guidance for workflow validation output.
Validation Philosophy
Validate early, validate often
Validation is typically iterative:
- Expect validation feedback loops
- Usually 2-3 validate → fix cycles
- Average: 23s thinking about errors, 58s fixing them
Key insight: Validation is an iterative process, not one-shot!
Error Severity Levels
1. Errors (Must Fix)
Blocks workflow execution - Must be resolved before activation
Types:
missing_required- Required field not providedinvalid_value- Value doesn't match allowed optionstype_mismatch- Wrong data type (string instead of number)invalid_reference- Referenced node doesn't existinvalid_expression- Expression syntax error
Example:
{
"type": "missing_required",
"property": "channel",
"message": "Channel name is required",
"fix": "Provide a channel name (lowercase, no spaces, 1-80 characters)"
}
2. Warnings (Should Fix)
Doesn't block execution - Workflow can be activated but may have issues
Types:
best_practice- Recommended but not requireddeprecated- Using old API/featureperformance- Potential performance issue
Example:
{
"type": "best_practice",
"property": "errorHandling",
"message": "Slack API can have rate limits",
"suggestion": "Add onError: 'continueRegularOutput' with retryOnFail"
}
3. Suggestions (Optional)
Nice to have - Improvements that could enhance workflow
Types:
optimization- Could be more efficientalternative- Better way to achieve same result
The Validation Loop
Pattern from Telemetry
7,841 occurrences of this pattern:
1. Configure node
↓
2. validate_node (23 seconds thinking about errors)
↓
3. Read error messages carefully
↓
4. Fix errors
↓
5. validate_node again (58 seconds fixing)
↓
6. Repeat until valid (usually 2-3 iterations)
Example
// Iteration 1
let config = {
resource: "channel",
operation: "create"
};
const result1 = validate_node({
nodeType: "nodes-base.slack",
config,
profile: "runtime"
});
// → Error: Missing "name"
// ⏱️ 23 seconds thinking...
// Iteration 2
config.name = "general";
const result2 = validate_node({
nodeType: "nodes-base.slack",
config,
profile: "runtime"
});
// → Error: Missing "text"
// ⏱️ 58 seconds fixing...
// Iteration 3
config.text = "Hello!";
const result3 = validate_node({
nodeType: "nodes-base.slack",
config,
profile: "runtime"
});
// → Valid! ✅
This is normal! Don't be discouraged by multiple iterations.
Validation Profiles
Choose the right profile for your stage:
minimal
Use when: Quick checks during editing
Validates:
- Only required fields
- Basic structure
Pros: Fastest, most permissive Cons: May miss issues
runtime (RECOMMENDED)
Use when: Pre-deployment validation
Validates:
- Required fields
- Value types
- Allowed values
- Basic dependencies
Pros: Balanced, catches real errors Cons: Some edge cases missed
This is the recommended profile for most use cases
ai-friendly
Use when: AI-generated configurations
Validates:
- Same as runtime
- Reduces false positives
- More tolerant of minor issues
Pros: Less noisy for AI workflows Cons: May allow some questionable configs
strict
Use when: Production deployment, critical workflows
Validates:
- Everything
- Best practices
- Performance concerns
- Security issues
Pros: Maximum safety Cons: Many warnings, some false positives
Common Error Types
1. missing_required
What it means: A required field is not provided
How to fix:
- Use
get_nodeto see required fields - Add the missing field to your configuration
- Provide an appropriate value
Example:
// Error
{
"type": "missing_required",
"property": "channel",
"message": "Channel name is required"
}
// Fix
config.channel = "#general";
2. invalid_value
What it means: Value doesn't match allowed options
How to fix:
- Check error message for allowed values
- Use
get_nodeto see options - Update to a valid value
Example:
// Error
{
"type": "invalid_value",
"property": "operation",
"message": "Operation must be one of: post, update, delete",
"current": "send"
}
// Fix
config.operation = "post"; // Use valid operation
3. type_mismatch
What it means: Wrong data type for field
How to fix:
- Check expected type in error message
- Convert value to correct type
Example:
// Error
{
"type": "type
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.