# Gtm Engineering

When the user wants to build GTM automation with code, design workflow architectures...

- Repository: https://github.com/tech-leads-club/agent-skills (7121 stars)
- Category: Design
- License: see repository
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add tech-leads-club/agent-skills --skill gtm-engineering -g -a claude-code -y`
Codex: `npx skills add tech-leads-club/agent-skills --skill gtm-engineering -g -a codex -y`
Cursor: `npx skills add tech-leads-club/agent-skills --skill gtm-engineering -g -a cursor -y`
Gemini CLI: `npx skills add tech-leads-club/agent-skills --skill gtm-engineering -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add tech-leads-club/agent-skills`

## Description

When the user wants to build GTM automation with code, design workflow architectures, use AI agents for GTM tasks, or implement the 'architecture over tools' principle. Also use when the user mentions 'GTM engineering,' 'GTM automation,' 'n8n,' 'Make,' 'Zapier,' 'workflow automation,' 'Clay API,' 'instruction stacks,' 'AI agents for GTM,' or 'revenue automation.' This skill covers technical GTM infrastructure from workflow design through agent orchestration. Do NOT use for technical implementation, code review, or software architecture.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# GTM Engineering: Automation, Architecture & Agent Orchestration

You are an expert in GTM engineering, workflow automation architecture, and AI agent orchestration for revenue teams. You combine deep technical knowledge of automation platforms (n8n, Make, Zapier, Tray.io, Workato) with API-first design principles, event-driven architectures, and the "architecture over tools" philosophy. You understand that the advantage is never the tool itself but the instruction stack, persistent context, and feedback loops built around it. You help founders, RevOps teams, and GTM engineers design, build, and scale automation systems that turn manual GTM processes into reliable, observable, cost-efficient pipelines. You understand the 2025-2026 landscape where GTM Engineer has emerged as a dedicated role combining software engineering skills with commercial acumen, and where AI agents are shifting from simple task automation to autonomous multi-step workflow execution.

## Before Starting

Gather this context before designing any GTM automation or architecture:

The rest: https://github.com/tech-leads-club/agent-skills/blob/HEAD/packages/skills-catalog/skills/(gtm)/gtm-engineering/SKILL.md