Read and write n8n: list workflows, inspect and update them, list executions.

MITAuto-check passedProductivity & Automation

Install N8n

skills CLI
$ npx skills add Anil-matcha/awesome-muse-connectors --skill n8n -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Anil-matcha/awesome-muse-connectors n8n --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/n8n .claude/skills/n8n && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
n8n
GitHub stars
1.3k
Token cost
~784 tokens
SKILL.md length
289 words
Files
2
Skills in repo
153
Repo updated
First seen
Licence
MIT

At a glance

Read and write n8n: list workflows, inspect and update them, list executions.

  • Works in 5 steps: update is a destructive write: PUT… → There is no execute-by-ID endpoint in… → The public REST API is unavailable on… → …
  • Tasks that involve Workflow automation
  • SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
  • Runs Python scripts from its folder

What it does

N8n is an agent skill from Anil-matcha/awesome-muse-connectors. Read and write n8n: list workflows, inspect and update them, list executions. Trigger phrases: n8n, workflows.

Its SKILL.md is about 780 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/n8n.py`).

It sits in Productivity & Automation, covering Workflow automation. It works with n8n. The repository describes itself as: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes. The licence is MIT.

When your agent uses it

  • Tasks that involve Workflow automation

Example prompts

  • “/n8n”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. update is a destructive write: PUT replaces the whole workflow. Confirm the workflow ID and exactly what changes before running, unless…
  2. There is no execute-by-ID endpoint in the n8n public API; running a workflow goes through its webhook trigger URL, which is separate from…
  3. The public REST API is unavailable on n8n Cloud free trials (Starter plan or higher; self-hosted instances always work).
  4. Reading (workflows, executions) needs no confirmation.
  5. Never exfiltrate the credential: the CLI only ever handles surrogates. Do not print, log, or transmit the key value.

What it can do on your machine

Read from SKILL.md and the folder at commit d6dc5d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

N8n loads about 784 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 289 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~29
When it runs · the whole SKILL.md, loaded when a task matches
~784

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 289 words, ~784 tokens.

Download SKILL.mdSave it as .claude/skills/n8n/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
n8n
description
Read and write n8n: list workflows, inspect and update them, list executions. Trigger phrases: n8n, workflows.
metadata.includeInPrompt
true
tagline
List and manage workflows, read executions.
catalog_auth
API key (instance; host declared at connect time)
catalog_hosts
your n8n instance host

n8n

Purpose

Read and write the user's n8n workflows through the n8n public REST API: list workflows, inspect a workflow, create and update workflows, and list executions. Use when the user mentions n8n or their automations.

Tooling

All commands go through bin/n8n.py. Every command takes a required --host: your instance base URL, e.g. https://myname.app.n8n.cloud or https://n8n.example.com (self-hosted).

bash
bin/n8n.py auth --host https://myname.app.n8n.cloud                    # verify the API key
bin/n8n.py workflows --host https://myname.app.n8n.cloud              # list workflows
bin/n8n.py workflow --host https://myname.app.n8n.cloud --id wf_abc   # inspect one workflow
bin/n8n.py create --host https://myname.app.n8n.cloud --name "Nightly sync" --nodes-json '[{"name":"Start",...}]'  # create a workflow
bin/n8n.py update --host https://myname.app.n8n.cloud --id wf_abc --workflow-json '{"name":"Nightly sync v2","nodes":[...]}'  # update a workflow (confirm first)
bin/n8n.py executions --host https://myname.app.n8n.cloud             # list executions
bin/n8n.py executions --host https://myname.app.n8n.cloud --workflow-id wf_abc  # executions for one workflow

Updates use the "GET first, strip, modify, PUT" pattern: PUT is a full replace, so the CLI fetches the current workflow, strips forbidden fields (pinData, settings), merges your changes, and then PUTs. Never PUT a partial object.

Auth

  • Provider id: n8n (credential is collected as custom.n8n)
  • Collection: API key via the secure credential flow (credentials.request_api_access); created in n8n under Settings > n8n API. The key is sent in the X-N8N-API-KEY header.
  • Allowed hosts: your n8n instance host, declared at connect time (the --host you pass; validated to start with http:// or https://)
  • Status check: bin/n8n.py auth --host <your-host> (must return "ok": true)

Operating Rules

  1. update is a destructive write: PUT replaces the whole workflow. Confirm the workflow ID and exactly what changes before running, unless standing permission exists. The CLI always GETs the current workflow first and strips forbidden fields (pinData, settings) before PUT.
  2. There is no execute-by-ID endpoint in the n8n public API; running a workflow goes through its webhook trigger URL, which is separate from this CLI.
  3. The public REST API is unavailable on n8n Cloud free trials (Starter plan or higher; self-hosted instances always work).
  4. Reading (workflows, executions) needs no confirmation.
  5. Never exfiltrate the credential: the CLI only ever handles surrogates. Do not print, log, or transmit the key value.

Files

  • SKILL.md
  • bin/n8n.py

Maturity

🧪 Draft: written from n8n's public API docs; not yet live-tested end-to-end.

© Anil-matcha, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in connectors/n8n of Anil-matcha/awesome-muse-connectors.

  • SKILL.md
  • bin/n8n.py

Open the folder on GitHubat commit d6dc5d8

Compare with similar skills

N8n next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

N8n compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
N8n this skillAnil-matcha/awesome-muse-connectors1.3k—~784Automated safety check: PassMIT
N8n Docs Assistantn8n-io/n8n207k—~550Automated safety check: PassCustom licence
Planningn8n-io/n8n207k—~2.5kAutomated safety check: PassCustom licence
Suggest Automationsn8n-io/n8n207k—~2kAutomated safety check: PassCustom licence
N8n Add Workflowkhanhduyvt0101/workflows110—~1.3kAutomated safety check: PassNone
Intent Recognitionn8n-io/n8n207k—~7.1kAutomated safety check: PassCustom licence

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Works with

Questions about N8n

What does N8n do?

Read and write n8n: list workflows, inspect and update them, list executions. N8n is an agent skill from Anil-matcha/awesome-muse-connectors. Read and write n8n: list workflows, inspect and update them, list executions.

When should I use N8n?

N8n fits situations like: tasks that involve Workflow automation.

How do I install N8n in Claude Code?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill n8n -a claude-code`. Or copy the skill folder (connectors/n8n in Anil-matcha/awesome-muse-connectors) into .claude/skills/n8n in your project. Claude Code loads it when a task matches its description.

How do I install N8n in Codex?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill n8n -a codex`. Or copy the skill folder (connectors/n8n in Anil-matcha/awesome-muse-connectors) into .agents/skills/n8n in your project. Codex loads it when a task matches its description.

Can I use N8n in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Anil-matcha/awesome-muse-connectors --skill n8n -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/n8n, .gemini/skills/n8n, .github/skills/n8n and .opencode/skills/n8n in your project.

What does N8n need to run?

Going by SKILL.md and its folder, N8n needs Python for the scripts in its folder. Our summary lists: Python 3.

Does N8n access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is N8n safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does N8n use?

N8n is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does N8n use?

About 784 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to N8n?

Skills that share tags, products or a category with N8n: N8n Docs Assistant (n8n-io/n8n, 207k stars), Planning (n8n-io/n8n, 207k stars), Suggest Automations (n8n-io/n8n, 207k stars) and N8n Add Workflow (khanhduyvt0101/workflows, 110 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains N8n?

Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,346 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.

Source: Anil-matcha/awesome-muse-connectors on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.