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xfstudioxfstudio/skills/n8n-node-configuration/SKILL.md

n8n-node-configuration

Skill9 starsChanged 10 months agoNo licenceView on GitHub

Operation-aware node configuration guidance. Use when configuring nodes, understanding property dependencies, determining required fields, choosing between get_node detail levels, or learning common configuration patterns by node type.

26 other projects use a version of this, 21 of them edited.

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Projects with it also use n8n-agents, n8n-error-handling and 6 more.

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Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • tmolaviSkill

    n8n-agents

    Use when building n8n AI Agent / LangChain clusters — tools, memory, RAG, structured output, system prompts, sub-workflow-as-tool, or fixing agent connection topology (ai_languageModel, ai_tool, ai_memory).

    Also in 5 projects that use this

  • tmolaviSkill

    n8n-error-handling

    Use for production n8n workflows, webhook APIs, retries, error outputs, error workflows, dead-letter patterns, and correct HTTP response status shapes for callers.

    Also in 5 projects that use this

  • czlonkowskiSkill

    n8n-binary-and-data

    Handle files and binary data in n8n correctly. Use when working with files, images, PDFs, attachments, uploads or downloads, base64, vision/multimodal input, or when an AI agent needs a file as tool input or output — and whenever the user mentions $binary, binaryPropertyName, "read the PDF", "attach the file", "send the image", Merge losing binary, or a CDN for chat images. Covers the $binary vs $json split, reading/writing binary, keeping binary alive across transforms with Merge, the agent-tool binary boundary, and the CDN/URL requirement for chat surfaces.

    Also in 4 projects that use this

  • czlonkowskiSkill

    n8n-code-tool

    Write JavaScript or Python for the n8n Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode) — the AI-agent-callable tool, NOT the workflow Code node. Use when building a Code Tool attached to an AI Agent, writing code that an LLM will invoke, parsing the `query` input, returning a string result, defining an input schema for structured arguments (specifyInputSchema, jsonSchemaExample, DynamicStructuredTool), or troubleshooting errors like \"Wrong output type returned\", \"No execution data available\", \"The response property should be a string, but it is an object\", \"Cannot assign to read only property 'name'\", or an AI agent that refuses to call the tool. Covers the critical differences between Code node and Code Tool: return format (string vs `[{json:{...}}]`), unavailability of `$fromAI`/`$input`/`$helpers` in the Code Tool sandbox, naming rules for AI invocation, and when to use `toolWorkflow`/HTTP Request Tool instead.

    Also in 3 projects that use this

  • +1 more from tmolavi
  • +3 more from czlonkowski

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22 rules. 20 are common, 1 is distinctive, and 1 is very specific to this project.

  • 20

    Common

    Most of the 24 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

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“Common” is measured: kept by at least 6 in 10 of the 24 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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