N8n Automation

Q: Why use N8n Automation on TypingMind?

Because you install it once and use it with any model. N8n Automation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

Q: How do I install N8n Automation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LeadMagic/gtm-skills/tree/main/skills/automation/n8n-automation. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Q: Which AI models can use N8n Automation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

Q: How many AI models can I use with N8n Automation?

As many as you like. As long as a model supports skills, you can use N8n Automation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Q: Is the N8n Automation AI skill free?

Yes. It is published on GitHub by LeadMagic under the MIT license. You only pay your own AI provider for the tokens you use.

Q: What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

Q: How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

Organization

LeadMagic

n8n-automation

Build n8n workflows for GTM automation — triggers, webhook-to-enrichment-to-CRM pipelines, error handling, Clay export replacement for complex cases. Use when building n8n workflows or automating GTM processes beyond Clay.

Overview

Publisher	LeadMagic
Repository	`gtm-skills`
Skill name	`n8n-automation`
Stars	72
Forks	18
Bundled files	6
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
6 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by LeadMagic on GitHub. Read the source before you install it.

Installation

Install the N8n Automation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/LeadMagic/gtm-skills/tree/main/skills/automation/n8n-automation
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/LeadMagic/gtm-skills.git /tmp/gtm-skills
mkdir -p .claude/skills
cp -r /tmp/gtm-skills/skills/automation/n8n-automation .claude/skills/n8n-automation

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable N8n Automation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads N8n Automation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so N8n Automation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

n8n Automation

Overview

Clay handles enrichment workflows well. n8n handles everything else — custom pipelines, multi-step automation with proper error handling and retry logic, and integrations Clay does not support. Use n8n when you need a queue you can pause, error recovery that does not lose data, and integrations across tools that Clay cannot reach.

Implementation detail: Load n8n-toolkit for flow blueprints (inbound, outbound, signals, MCP triggers), node patterns, and production deployment. This skill covers when to use n8n; the toolkit covers how to build.

Playbook index: references/automation-playbook-index.md — all 38 automation + tool + gtm-ops playbooks.

Strategy first: references/gtm-automation-expert-playbook.md (Jen Igartua — Pattern 30) before flow build.

Authoritative Foundations

n8n docs — Workflows, webhooks, and HTTP Request node — Build GTM glue with webhook triggers, HTTP nodes, and a dedicated error workflow for failed runs.
Jen Igartua (Go Nimbly) — RevOps automation maturity — Automate stable, well-defined processes first; automating a broken process only makes it fail faster.
HubSpot developer docs — API limits and webhooks — Batch requests and back off on rate-limit responses when n8n writes to the CRM.

When to Use

"Build an n8n workflow for GTM"
"Automate enrichment beyond Clay"
"Create a custom GTM automation pipeline"
"Connect tools that Clay does not support"

Step-by-Step Process

Phase 1: Workflow Design

Map the complete pipeline:


Trigger → Enrichment → Scoring → Routing → CRM Push → Notification

Phase 2: Implementation Patterns

HTTP Request nodes for enrichment API calls
Error handling: retry with exponential backoff (3 attempts, 1s/5s/25s)
Split In Batches node for processing large lists
Queue mode: pause and resume when something looks wrong
Webhook triggers for real-time form-fill processing

Phase 3: Common GTM Workflows

Full node-level specs in n8n-toolkit → references/gtm-flow-catalog.md:

Flow ID	Motion	Summary
INB-01	Inbound	Form → enrich → score → route (<60s)
OUT-01	Outbound	Batch enrich → CRM (5K in 2–4h)
OUT-02	Outbound	Clay/n8n → sequencer (human gate)
SIG-01–04	Signal	Funding, job change, hiring, stale opp
LIF-03	Lifecycle	Reply webhook → classify → route
MCP-01	Agent	Approved batch jobs via webhook

n8n vs Clay vs MCP: See decision matrix in n8n-toolkit. Agents (MCP) research and draft; n8n executes deterministic pipelines.

Output Format

n8n workflow JSON export with node documentation, error handling rules, and maintenance guide.

Quality Check

Before delivering, verify:

All required sections are complete
Output matches the user's stated need
Named frameworks are cited for key recommendations
No vague claims — every recommendation has a specific action
Deliverable is ready for operational use, not just conceptual

Common Pitfalls

No error handling. One failed API call breaks the entire pipeline. Every HTTP Request node needs an error branch.
Sequential processing for large batches. 10K records at 1 second each is 2.8 hours. Use Split In Batches with parallel execution.
No queue. Processing 10K records without a pause mechanism means no recovery point if something fails at record 5,000.
Credentials in workflow. Use built-in credential store, never hardcode API keys in nodes.

Execution Artifacts

references/framework-notes.md — named frameworks, citation anchors, and operating assumptions
references/gtm-flow-catalog.md — Reusable GTM automation flow catalog
templates/output-template.md — copy-paste deliverable structure for the user
scripts/check-output.py — local checklist validator for required sections This skill includes lightweight artifacts the agent can load on demand:
references/gtm-automation-expert-playbook.md — Jen Igartua RevOps automation strategy (shared repository reference; Pattern 30) Use the artifacts when the user asks for an implementation-ready deliverable, a repeatable workflow, or a quality check rather than generic advice.

Implementation Depth

Use this section when the user asks for a finished asset, not a high-level explanation.

Diagnostic Questions

What is the primary motion: founder-led, sales-led, product-led, partner-led, or lifecycle-led?
Which ICP tier is the output for: small business, mid-market, enterprise, or mixed?
What proof is available today: customer stories, usage data, third-party validation, screenshots, or none?
What system will execute the work: CRM, sequencer, warehouse, support desk, product analytics, or manual workflow?
What decision will the user make from this output: launch, prioritize, route, rewrite, score, coach, or measure?

Framework Application

Map the recommendation explicitly to the named frameworks in this skill:

n8n Workflow Automation Framework: apply only the part that directly improves the requested deliverable.
iPaaS Integration Patterns: apply only the part that directly improves the requested deliverable.
HubSpot Academy — CRM Automation: apply only the part that directly improves the requested deliverable.

Deliverable Standard

A strong output from this skill includes:

A crisp diagnosis of the current situation
A recommended path with tradeoffs, not a generic list
A concrete artifact the user can use immediately: table, script, checklist, scorecard, sequence, dashboard spec, or implementation plan
A measurement plan with leading and lagging indicators
Risks and edge cases called out before execution

Adaptation Rules

For small business: reduce complexity, shorten time-to-value, and prioritize owner/operator clarity.
For mid-market: include workflow ownership, handoffs, integrations, and enablement assets.
For enterprise: include governance, risk, procurement, stakeholder mapping, and proof requirements.

Related Skills

n8n-toolkit: Flow catalog, MCP patterns, node configs (primary implementation)
mcp-setup: Agent-side MCP; pairs with MCP-01 n8n webhook
clay-automation: Clay workflows for enrichment
api-enrichment: API enrichment patterns
crm-integration: CRM configuration for receiving n8n data
gtm-role-descriptions: GTM Engineer hiring — n8n listed in JD and scorecard

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the N8n Automation AI skill do?

Why use N8n Automation on TypingMind?

Because you install it once and use it with any model. N8n Automation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install N8n Automation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LeadMagic/gtm-skills/tree/main/skills/automation/n8n-automation. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use N8n Automation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with N8n Automation?

As many as you like. As long as a model supports skills, you can use N8n Automation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the N8n Automation AI skill free?

Yes. It is published on GitHub by LeadMagic under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

n8n Automation

Overview

Authoritative Foundations

When to Use

Step-by-Step Process

Phase 1: Workflow Design

Phase 2: Implementation Patterns

Phase 3: Common GTM Workflows

Output Format

Quality Check

Common Pitfalls

Execution Artifacts

Implementation Depth

Diagnostic Questions

Framework Application

Deliverable Standard

Adaptation Rules

Related Skills

Bundled files

Frequently asked questions

Related AI Skills

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