Agent skill

GTM Engineering

by tech-leads-club in tech-leads-club/agent-skills

Designs go-to-market automation and AI agent workflows for revenue teams, built on the idea that architecture and context matter more than any single tool.

Custom licenceAuto-check passedProductivity & Automation

Install GTM Engineering

skills CLI
$ npx skills add tech-leads-club/agent-skills --skill gtm-engineering -a claude-code

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

GitHub CLI
$ gh skill install tech-leads-club/agent-skills gtm-engineering --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/tech-leads-club/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'packages/skills-catalog/skills/(gtm)/gtm-engineering' .claude/skills/gtm-engineering && 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
gtm-engineering
GitHub stars
7k
Token cost
~4.8k tokens
SKILL.md length
1,918 words
Files
3 (incl. references)
Skills in repo
74
Repo updated
First seen
Licence
Custom licence

At a glance

Designs go-to-market automation and AI agent workflows for revenue teams, built on the idea that architecture and context matter more than any single tool.

  • Works in 3 steps: The GTM Engineer Role → Architecture Over Tools → Automation Platform Comparison
  • Designing a workflow that moves leads from enrichment into the CRM and outreach
  • SKILL.md covers Before Starting, 1. The GTM Engineer Role, 2. Architecture Over Tools and 3. Automation Platform…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

The agent advises as a GTM engineer, a role that combines software skills with commercial judgment to turn manual go-to-market tasks into reliable, observable pipelines. It names n8n, Make, Zapier, Tray.io and Workato, and works from API-first design, event-driven architecture and agent orchestration.

Before designing anything it collects context: which motions are running (outbound, inbound, product-led, partner), the current CRM and tooling, the three most repetitive weekly workflows, the team's coding depth, existing automations and what breaks, data sources, budget, lead volume, who maintains the flows and any compliance needs such as SOC2 or GDPR. A core idea is that the edge comes from the instruction stack, persistent context and feedback loops around a tool. An implementation guide and a quick reference are included.

When your agent uses it

  • Designing a workflow that moves leads from enrichment into the CRM and outreach
  • Choosing between n8n, Make and Zapier for a revenue team's automations
  • Planning where AI agents can handle multi-step go-to-market tasks
  • Fixing GTM automations that break often or have no clear owner

Example prompts

  • “Map an automation that enriches new signups and routes qualified ones into our CRM.”
  • “Our Zapier flows keep failing, so redesign the architecture behind them.”
  • “Which of our weekly outbound tasks should an AI agent take over first?”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. The GTM Engineer Role
  2. Architecture Over Tools
  3. Automation Platform Comparison

What it can do on your machine

Read from SKILL.md and the folder at commit 6df68d5. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

GTM Engineering loads about 4.8k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 140 tokens; SKILL.md has 1,918 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~140
When it runs · the whole SKILL.md, loaded when a task matches
~4.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~12k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,918 words (~4,765 tokens).

“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…”

— opening of SKILL.md by tech-leads-club, Custom licence
name
gtm-engineering
metadata.original_author
Chad Boyda / agent-gtm-skills
metadata.modified_by
Felipe Rodrigues - github.com/felipfr
metadata.source
https://github.com/chadboyda/agent-gtm-skills
metadata.version
1.0.0

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in packages/skills-catalog/skills/(gtm)/gtm-engineering of tech-leads-club/agent-skills.

  • SKILL.md
  • references/implementation-guide.md
  • references/quick-reference.md

Open the folder on GitHubat commit 6df68d5

Compare with similar skills

GTM Engineering 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.

GTM Engineering compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
GTM Engineering this skilltech-leads-club/agent-skills7k—~4.8kAutomated safety check: PassCustom licence
Daily Lead Stewardzapier/gtm-cheat-codes342—~258Automated safety check: PassMIT
Find Lead Account Ownerzapier/gtm-cheat-codes342—~275Automated safety check: PassMIT
Automation InstructionsdeusXmachina-dev/memorylane121—~1.1kAutomated safety check: PassGPL-3.0
Automation WorkflowsCraftOS-dev/CraftBot3921 repos~2.6kAutomated safety check: PassMIT
Automation Flowsericrisco/rsc-harness180—~2.9kAutomated safety check: PassMIT

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    342 GitHub stars~258 tokensUpdated 2 mo ago
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Works with

Questions about GTM Engineering

What does GTM Engineering do?

Designs go-to-market automation and AI agent workflows for revenue teams, built on the idea that architecture and context matter more than any single tool. The agent advises as a GTM engineer, a role that combines software skills with commercial judgment to turn manual go-to-market tasks into reliable, observable pipelines.io and Workato, and works from API-first design, event-driven architecture and agent orchestration.

When should I use GTM Engineering?

GTM Engineering fits situations like: designing a workflow that moves leads from enrichment into the CRM and outreach; choosing between n8n, Make and Zapier for a revenue team's automations; planning where AI agents can handle multi-step go-to-market tasks; fixing GTM automations that break often or have no clear owner.

How do I install GTM Engineering in Claude Code?

Run `npx skills add tech-leads-club/agent-skills --skill gtm-engineering -a claude-code`. Or copy the skill folder (packages/skills-catalog/skills/(gtm)/gtm-engineering in tech-leads-club/agent-skills) into .claude/skills/gtm-engineering in your project. Claude Code loads it when a task matches its description.

How do I install GTM Engineering in Codex?

Run `npx skills add tech-leads-club/agent-skills --skill gtm-engineering -a codex`. Or copy the skill folder (packages/skills-catalog/skills/(gtm)/gtm-engineering in tech-leads-club/agent-skills) into .agents/skills/gtm-engineering in your project. Codex loads it when a task matches its description.

Can I use GTM Engineering 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 tech-leads-club/agent-skills --skill gtm-engineering -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gtm-engineering, .gemini/skills/gtm-engineering, .github/skills/gtm-engineering and .opencode/skills/gtm-engineering in your project.

What does GTM Engineering need to run?

SKILL.md names no scripts, command-line tools or credentials: GTM Engineering is instructions for the agent only.

Does GTM Engineering 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 GTM Engineering 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 GTM Engineering use?

GTM Engineering has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does GTM Engineering use?

About 4.8k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.2k tokens, read only when the agent opens those files.

What are the alternatives to GTM Engineering?

Skills that share tags, products or a category with GTM Engineering: Daily Lead Steward (zapier/gtm-cheat-codes, 342 stars), Find Lead Account Owner (zapier/gtm-cheat-codes, 342 stars), Automation Instructions (deusXmachina-dev/memorylane, 121 stars) and Automation Workflows (CraftOS-dev/CraftBot, 392 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains GTM Engineering?

tech-leads-club (a GitHub organization) maintains it in tech-leads-club/agent-skills, which has 7,045 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on October 9, 2026.

Source: tech-leads-club/agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.