pm-gtm-plan

pm-gtm-plan is a skill for Claude Code from Uxcel-Lab/product-skills. It costs 134 tokens per session (3,269 once invoked), scanned A, original, MIT.

A go-to-market plan is a practical plan for reaching the right customers and selling a product. It covers customers, sales channels, pricing, timing, and partnerships based on the company's stage and evidence of demand.

In plain words
What is it for?
Planning a launch or growth approach, checking whether demand is validated, choosing suitable channels and partners, setting timing, and matching the plan to the business model and company maturity.
Why use it?
It avoids treating every product launch as the same checklist. It helps prevent choosing expensive channels or partnerships before the company is ready, and accounts for how buyers actually decide.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the uxcel plugin — 58 skills shipped together

Good fit Planning a launch or growth approach, checking whether demand is validated, choosing suitable channels and partners, setting timing, and matching the plan to the business model and company maturity.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/uxcel-lab/product-skills/gtm-plan
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 Uxcel-Lab/product-skills --skill gtm-plan
Clone the repo
git clone --depth 1 https://github.com/Uxcel-Lab/product-skills

Made for: Claude Code.

Or install uxcel, the plugin that ships this one along with the rest of its 58 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 pm-gtm-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/uxcel-lab/product-skills/gtm-plan/github.svg)](https://agentmods.dev/skills/uxcel-lab/product-skills/gtm-plan)
Your own site
<a href="https://agentmods.dev/skills/uxcel-lab/product-skills/gtm-plan"><img src="https://agentmods.dev/badge/skills/uxcel-lab/product-skills/gtm-plan/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 pm-gtm-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/uxcel-lab/product-skills/gtm-plan"><img src="https://agentmods.dev/badge/skills/uxcel-lab/product-skills/gtm-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 134 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,269 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.
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 $0.00134 $0.03269
Opus 5 $0.00067 $0.01635
Sonnet 5 $0.00027 $0.00654
Haiku 4.5 $0.00013 $0.00327

Measured 11d ago against content hash f5b0bca0377c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

pm-gtm-plan 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 11d ago.

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.

pm/deliverables/gtm-plan/SKILL.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Go-to-Market Plan Skill

How this skill behaves (read first)

This is a generative deliverable skill, and "write a GTM plan" is where an AI assistant defaults to a generic launch checklist — announce, blog post, social, email, press — with no strategy underneath. The deeper mistakes: treating GTM as a one-time launch rather than a living system, stage-skipping (bolting a reseller network or paid-acquisition engine onto a company with 8 customers), ignoring timing (seasonality, B2B budget cycles, market readiness), and funnel-forcing buyers through a pipeline on the company's schedule. A GTM plan that doesn't fit the company's stage burns the resources that should be going to the actual foundational work.

So this skill gates hard:

  1. Establish context — GTM readiness (is demand validated?), company maturity stage, customer/business-model type, and timing conditions.
  2. Apply the always-true core — GTM as a system of five interlocking components, stage-appropriate execution, channel-as-cost-structure, timing awareness, non-linear buyer journey.
  3. Surface the context-dependent decisions (stage tactics, channel model, business-model motion, entry timing, partnerships) with trade-offs; let the user choose.

Then it hands off to pm-okr-metric-validity-audit (are the launch metrics valid, not vanity?) and pm-assumption-rigor-audit (is demand really validated, is the timing window real, will the channel actually work?).

Scope: this skill owns the go-to-market plan and its launch execution. It defers product strategy to pm-vision-strategy, positioning and competitive set to pm-competitive-analysis, pricing strategy to ux-pricing, buyer-journey/funnel analytics to pm-analytics, and post-launch experiments/learning to pm-experimentation-ab.


Step 0 — Establish context before planning

Ask if not known; state the assumption if proceeding without an answer:

  • Is the product GTM-ready? No GTM plan repairs a product without validated demand. Readiness test: have real customers paid (or seriously committed), used it repeatedly, and can you explain why they bought and what would make them leave? If not, route back to validation (pm-discovery, pm-experimentation-ab) before building channels and pricing.
  • What's the company maturity stage? Level 1 early traction (3–5 customers, manual) → Level 2 demand generation (5–25, one channel experiment) → Level 3 efficiency (25–100+, 2–3 proven channels) → Level 4 scaling TAM (platform/partnership decisions). Stage is set by context, not just customer count — business model, ticket size, customer type, and relationship complexity (3 enterprise contracts ≠ 3 consumer signups).
  • Who's the customer / what's the business model? Consumer/prosumer (self-serve, product sells itself), SMB (weeks, light sales support), enterprise (6–18 mo, multi-stakeholder, consultative); and B2B / B2C / B2G / B2B2C — each changes the motion.
  • What timing conditions apply? Seasonality, B2B budget cycle, first-mover vs. fast-follower position, and technology/regulatory readiness. Name these before setting the calendar.

Read the full file on GitHub · 128 lines

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. 11d ago First seen · 128 lines · 134 tokens per session scan A f5b0bca0377c

Subscribe to this mod's changes

pm-gtm-plan is a skill published in the GitHub repository Uxcel-Lab/product-skills (10 stars, last pushed 2mo ago), licensed MIT. It adds 134 tokens to every session and 3,269 once invoked, about $0.0007 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 2026-08-31.

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