gtm-system-architecture

gtm-system-architecture is a skill for Claude Code from LeadMagic/gtm-skills. It costs 117 tokens per session (1,838 once invoked), scanned A, original, MIT.

A framework for designing how a company attracts customers, makes money, shares data, and coordinates sales, marketing, and customer success. GTM, or go-to-market, means the overall way a company brings an offering to customers and grows revenue.

In plain words
What is it for?
Use it to design or review a go-to-market system, assess its six models, and align sales, marketing, and customer-success work.
Why use it?
It helps find gaps between teams and connect revenue, data, operations, growth, and customer acquisition into one working model.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code; mentions Codex; mentions Gemini CLI.

Part of the gtm-skills plugin — 196 skills shipped together

Good fit Use it to design or review a go-to-market system, assess its six models, and align sales, marketing, and customer-success work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/leadmagic/gtm-skills/gtm-system-architecture
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add LeadMagic/gtm-skills --skill gtm-system-architecture
Clone the repo
git clone --depth 1 https://github.com/LeadMagic/gtm-skills

Made for: Claude Code.

Or install gtm-skills, the plugin that ships this one along with the rest of its 196 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gtm-system-architecture

README.md
[![agentmods](https://agentmods.dev/badge/skills/leadmagic/gtm-skills/gtm-system-architecture/github.svg)](https://agentmods.dev/skills/leadmagic/gtm-skills/gtm-system-architecture)
Your own site
<a href="https://agentmods.dev/skills/leadmagic/gtm-skills/gtm-system-architecture"><img src="https://agentmods.dev/badge/skills/leadmagic/gtm-skills/gtm-system-architecture/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gtm-system-architecture

Your own site · 80×15
<a href="https://agentmods.dev/skills/leadmagic/gtm-skills/gtm-system-architecture"><img src="https://agentmods.dev/badge/skills/leadmagic/gtm-skills/gtm-system-architecture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,838 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00117 $0.01838
Opus 5 $0.00059 $0.00919
Sonnet 5 $0.00023 $0.00368
Haiku 4.5 $0.00012 $0.00184

Measured 6d ago against content hash 8dfda3c7bd12, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

gtm-system-architecture scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/check-output.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/analytics/gtm-system-architecture/SKILL.md · 175 lines

How it starts

The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GTM System Architecture

Overview

A GTM system is the operating system underneath your revenue. It's the answer to "how does money flow through this company?" — not "what tactics are we running this quarter?"

Winning by Design's GTM Index framework scores 1-10 across six interconnected models. Most companies break because they optimize one model while neglecting the others. This skill designs all six as one unified system.

When to Use

  • "Design our GTM system"
  • "Audit our revenue architecture"
  • "Build a GTM operating model"
  • "Our GTM is fragmented — fix it"
  • "Align sales, marketing, and CS"
  • "Design how revenue flows"

Authoritative Foundations

  • Winning by Design GTM Index — six models (Revenue, Data, Math, Operating, Growth, GTM). 1-10 scoring per model. Average across 1000+ companies benchmarked.
  • Winning by Design Bowtie — revenue is a continuous loop: acquire → retain → expand. Not a funnel that ends at "closed won."
  • SiriusDecisions Demand Waterfall — demand flows through stages with defined handoffs and conversion metrics.

Step-by-Step Process

Phase 1: The Six Models (WbD GTM Index)

Score each 1-10, then identify the weakest link:

1. Revenue Model — "Do we know how we make money?"

  • Pricing clarity, packaging, discount authority, expansion model.
  • Weak: "We charge whatever the customer agrees to."
  • Strong: "Standard tiers, defined discount rules, clear expansion path."

2. Data Model — "Can we answer basic questions about our business?"

  • CRM hygiene, pipeline data, conversion rates, attribution.
  • Weak: "We don't know our MQL→SQL conversion rate."
  • Strong: "Every deal has stage, source, close date, and MEDDIC dimensions."

3. Math Model — "Do unit economics work?"

  • LTV:CAC, payback period, CAC by channel, churn rates, NRR.
  • Weak: "We don't track CAC by channel. We think churn is around 3%."
  • Strong: "CAC payback is 8 months, LTV:CAC is 4:1, NRR is 115%."

4. Operating Model — "Is there a documented process someone could follow?"

  • Sales process stages, playbooks, enablement, handoff documentation.
  • Weak: "Reps sell however they want. No two deals look the same."
  • Strong: "Stage definitions with Goals and Exit Criteria. Playbook documented. New reps ramp in 90 days."

Read the full file on GitHub · 175 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago Changed 8dfda3c7bd12
  2. 10d ago First seen · 175 lines · 117 tokens per session scan A 13e8ef8ac47d

Subscribe to this mod's changes

gtm-system-architecture is a skill published in the GitHub repository LeadMagic/gtm-skills (48 stars, last pushed 2d ago), licensed MIT. It adds 117 tokens to every session and 1,838 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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