pm-gtm-v1

pm-gtm-v1 is a skill for Claude Code from naderelewa/Product-to-Prod. It costs 189 tokens per session (3,404 once invoked), scanned A, original, MIT.

A go-to-market planning skill. Go-to-market means deciding how a product or release will reach its audience, including campaigns, channels, measurement, and handoffs.

In plain words
What is it for?
Use it to build or refresh launch plans, campaign structures, channel plans, media plans, and tracking-planning rows, then route technical needs to the appropriate engineering process.
Why use it?
It turns a launch or growth goal into a staged plan while keeping planning separate from actually spending money, posting content, changing tracking systems, or doing engineering work.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the product2prod plugin — 7 skills shipped together

Good fit Use it to build or refresh launch plans, campaign structures, channel plans, media plans, and tracking-planning rows, then route technical needs to the appropriate engineering process.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add naderelewa/Product-to-Prod
Claude Code
/plugin install product2prod

Made for: Claude Code.

Or install product2prod, the plugin that ships this one along with the rest of its 7 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-v1

README.md
[![agentmods](https://agentmods.dev/badge/skills/naderelewa/product-to-prod/pm-gtm-v1/github.svg)](https://agentmods.dev/skills/naderelewa/product-to-prod/pm-gtm-v1)
Your own site
<a href="https://agentmods.dev/skills/naderelewa/product-to-prod/pm-gtm-v1"><img src="https://agentmods.dev/badge/skills/naderelewa/product-to-prod/pm-gtm-v1/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-v1

Your own site · 80×15
<a href="https://agentmods.dev/skills/naderelewa/product-to-prod/pm-gtm-v1"><img src="https://agentmods.dev/badge/skills/naderelewa/product-to-prod/pm-gtm-v1.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 189 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,404 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 $0.00189 $0.03404
Opus 5 $0.00095 $0.01702
Sonnet 5 $0.00038 $0.00681
Haiku 4.5 $0.00019 $0.00340

Measured 12d ago against content hash 2ff0ff167587, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

pm-gtm-v1 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 12d 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.

skills/pm-gtm-v1/SKILL.md · 230 lines

How it starts

The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.

pm-gtm-v1, source of truth → fresh gate state → phase-gated plan → config-only rows

Input is a go-to-market goal: a launch, a period, a plan refresh. Output is a plan package: a fresh gate-state snapshot, a plan built phase by phase, a campaign-architecture narrative, channel and tracking planning rows, and a handoff record for the owner and whoever runs marketing operations.

This verb plans. It never spends, never posts, never configures a platform, and never touches a tag container. Execution stays human; implementation stays engineering's.

Seam discipline: this verb emits no engineering seam artifacts. When technical work emerges from planning, a pixel install, a container change, instrumentation, landing pages, it leaves as classified candidate rows routed to /pm-requirements-v1 (a single item) or /pm-portfolio-v1 (a batch). One seam, one owner.

Preflight (run first)

PKG_ROOT="${CLAUDE_PLUGIN_ROOT:-${PKG_ROOT:-}}"
[ -n "$PKG_ROOT" ] && [ -r "$PKG_ROOT/.claude-plugin/plugin.json" ] || { echo "STOP: set PKG_ROOT to this package's root directory, the one holding .claude-plugin/plugin.json, then re-run."; exit 2; }
bash "$PKG_ROOT/scripts/preflight.sh" pm-gtm-v1 [--stack <keys>]

Conditional keys: gate-state-snapshot (the read-only analytics reads that let a gate state be measured rather than asserted) · workspace-docs · backlog-sync. A selected-conditional miss blocks like a required one.

Standalone vs supercharged. Standalone (python3): the full chain resolve, the phase-gated plan, the campaign narrative and the config-only rows, with every unprobeable gate state written NEEDS-CONFIRMATION with a named confirmer, never guessed. Supercharged: gate-state-snapshot turns those rows into measured states.

There is deliberately no advertising-platform capability. Nothing here holds or requests ad-account credentials, which is precisely why the rows in step 4 are configuration proposals rather than changes.

Read the full file on GitHub · 230 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. 12d ago First seen · 230 lines · 189 tokens per session scan A 2ff0ff167587

Subscribe to this mod's changes

pm-gtm-v1 is a skill published in the GitHub repository naderelewa/Product-to-Prod (43 stars, last pushed yesterday), licensed MIT. It adds 189 tokens to every session and 3,404 once invoked, about $0.0009 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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