Why does the skill recommend 'standard' detail over 'full' detail?

Standard detail covers 95% of configuration needs while using only 1-2K tokens. Full detail can consume up to 8K tokens, which is often unnecessary and slows down the AI response time.

Can I search for specific fields within a node?

Yes, you can use the search_properties mode to find specific configurations like headers, authentication, or query parameters without needing to inspect the entire node schema.

What is operation-aware configuration in n8n?

Operation-aware configuration means the skill understands that required fields change based on the specific action selected. For example, a Slack 'post' operation requires a channel, while an 'update' operation requires a message ID.

How does this skill handle HTTP Request nodes?

It manages conditional logic where fields like 'body' or 'sendBody' only appear if specific methods like POST or PUT are selected, ensuring you never miss a required parameter.

n8n Node Configuration

Name: n8n Node Configuration
Author: ProfSynapse

byProfSynapse

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生产力与工作流

Simplifies n8n workflow development by providing operation-aware guidance and managing complex property dependencies for node configuration.

关于

This skill provides specialized intelligence for configuring n8n nodes within Claude Code, ensuring that users identify the exact required fields for specific operations. By leveraging a progressive discovery model—starting with standard details and moving to full schemas only when necessary—it minimizes token usage while maximizing configuration accuracy. It is particularly effective at handling dynamic fields that appear or disappear based on resource selection, HTTP methods, or boolean toggles, significantly reducing manual validation errors and accelerating the development of complex automation workflows.

主要功能

Progressive discovery workflows using standard vs. full detail levels
Operation-aware field identification for dynamic node requirements
Deep mapping of property dependencies (displayOptions)
Targeted property searching to find specific authentication or body fields
Context-specific validation patterns for Slack, HTTP, and Database nodes
36 GitHub stars

使用场景

Debugging missing field errors in n8n workflows by identifying hidden property dependencies.
Configuring complex API integrations where required fields change based on the HTTP method.
Optimizing AI token usage by using standard detail discovery for node schemas.

关于

主要功能

Progressive discovery workflows using standard vs. full detail levels
Operation-aware field identification for dynamic node requirements
Deep mapping of property dependencies (displayOptions)
Targeted property searching to find specific authentication or body fields
Context-specific validation patterns for Slack, HTTP, and Database nodes
36 GitHub stars

使用场景

Debugging missing field errors in n8n workflows by identifying hidden property dependencies.
Configuring complex API integrations where required fields change based on the HTTP method.
Optimizing AI token usage by using standard detail discovery for node schemas.