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stefanomartiradonnastefanomartiradonna/claude-skills/n8n-expression-syntax/SKILL.md

n8n-expression-syntax

Skill0 starsChanged 3 months agoNo licenceView on GitHub

Validate n8n expression syntax and fix common errors. Use when writing n8n expressions, using {{}} syntax, accessing $json/$node variables, troubleshooting expression errors, or working with webhook data in workflows.

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22 other projects use a version of this, 7 of them edited.

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Projects with it also use n8n-code-tool, n8n-self-hosting and 8 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.
  • 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 4 projects that use this

  • czlonkowskiSkill

    n8n-self-hosting

    Deploy a production self-hosted n8n end-to-end to a fresh Linux VM over SSH, using Docker Compose behind a Caddy reverse proxy with automatic HTTPS. Use whenever the user wants to self-host, install, provision, or deploy n8n on their own server/VPS (Hetzner, DigitalOcean, AWS EC2, bare metal) — single/regular mode or queue mode with workers — or to update, back up, restore, or harden such an instance, or make Python Code nodes run on it (task runners). For SELF-HOSTED n8n (Docker), not n8n Cloud and not building workflows. The skill makes the agent ask single-vs-queue first, collect domain/SSH/timezone inputs, generate fresh secrets on the box, and bring the stack up with TLS. Trigger on "deploy n8n", "self-host n8n", "n8n docker compose", "n8n queue mode / workers", "n8n reverse proxy / SSL", "back up / update my n8n", "Python runner unavailable" / "n8nio/runners sidecar", or "we don't want to give every user the OAuth client secret" / "enable Sign in with Google" (credential overwrites).

    Also in 4 projects that use this

  • 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 3 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 3 projects that use this

  • MicrosoftSkill

    web-search

    Also in 3 projects that use this

  • VercelSkill

    remotion-best-practices

    Best practices for Remotion - Video creation in React

    Also in 3 projects that use this

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

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13 rules. 3 are common, 10 are distinctive, and 0 are very specific to this project.

  • 3

    Common

    Most of the 9 edited versions we read keep these.

  • 10

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

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

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 9 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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