N8n automation

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

• Jen Igartua (Go Nimbly) — RevOps automation maturity and orchestration roadmap — RevOps automation maturity and orchestration roadmap
• n8n Workflow Automation Framework — Workflow automation — HTTP nodes, webhooks, and GTM glue between tools.
• iPaaS Integration Patterns — Shapes deliverables for this skill — Clay handles enrichment workflows well.
• HubSpot Academy — CRM Automation — Lifecycle stages, object model, and workflow enrollment patterns.

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

1. No error handling. One failed API call breaks the entire pipeline. Every HTTP Request node needs an error branch.

2. Sequential processing for large batches. 10K records at 1 second each is 2.8 hours. Use Split In Batches with parallel execution.

3. No queue. Processing 10K records without a pause mechanism means no recovery point if something fails at record 5,000.

4. 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
• 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 (repo root; 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

1. What is the primary motion: founder-led, sales-led, product-led, partner-led, or lifecycle-led?
2. Which ICP tier is the output for: small business, mid-market, enterprise, or mixed?
3. What proof is available today: customer stories, usage data, third-party validation, screenshots, or none?
4. What system will execute the work: CRM, sequencer, warehouse, support desk, product analytics, or manual workflow?
5. 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