Home · Free resources The GTM Skill Pack · Free

Your AWS Marketplace GTM team — as an AI skill pack.

Eight years of Marketplace go-to-market, distilled into prompts and skills you drop straight into the model you already use. Pick your model, choose your skills, and get an install-ready pack — no new tool to learn.

The AWS Marketplace GTM toolkit — skill pack, agent-ready audits, co-sell, pricing, teardowns, and the discovery kit

Build your pack

Three quick steps. The pack arrives formatted for your model with copy-paste install instructions.

Rather install it yourself? It's open-source — github.com/vell-admin/gtm-skill-pack →

1Choose your modelPick one
2Choose your skills0 selected
Step 3 — Where do we send it?
Free. We'll email the pack and add you to the weekly GTM newsletter (unsubscribe anytime).
Pick a model and at least one skill to continue.
No credit card. We never share your email.

Your pack is on its way.

Check your inbox for the download link.

// Printable reference

Printable companions to the skill pack.

Free reference PDFs — checklists, canvases, worksheets — distilled from the thousands of AWS Marketplace listings I've reviewed firsthand. Prefer to install the skills in your AI? Get the pack on GitHub →

Free

AWS Marketplace Launch Checklist

The 42-point pre- and post-launch checklist I use to get a listing live and generating demand.

PDF · 6 pages
What's inside

42 checks across 6 phases — foundations → build → pricing → trust → co-sell → demand engine. A few of them:

  • Value metric named — the unit that scales with the buyer's success, not "annual subscription" by default.
  • Outcome-first title — leads with the buyer outcome and a searchable category, not your brand.
  • One next step everywhere — book / try / subscribe on every surface, no dead ends.
Score yourself: 0–14 not ready · 15–28 listed, not launched · 29–37 launch-ready · 38–42 demand-ready.
Get it
Free

Listing Optimization Canvas

A one-page canvas to rebuild your listing copy for both human buyers and AI procurement.

Notion · Figma
What's inside

Eight boxes you fill in order — each feeds the next:

  • Buyer & the job → The one outcome → Title → Short description
  • Long-description spine → Search terms → Proof → Agent-readable & next step
Title — before: "Acme Cloud Suite" → after: "Incident Response Automation for AWS — resolve outages 2× faster".
Get it
Free

Co-sell / ACE Registration Template

The exact fields and framing that get AWS reps to engage on a co-sell opportunity.

Google Doc
What's inside

12 ACE fields with "what good looks like," a paste-ready rep summary, and a <120-word outreach message + follow-up.

  • Written to the rep's incentive — customer outcome and AWS consumption, not your features.
AWS impact: drives [services]; est. [$/mo] incremental consumption — Stage/close: [stage] · targeting [date].
Get it
Free

Pricing Story Worksheet

Build a pricing narrative for committed-spend deals and data-as-a-product offers.

Spreadsheet
What's inside

Five blocks, top to bottom: value metric → package ladder → pricing narrative → agent-buyer note → committed-spend unlock.

"We price on [value metric] because that's what grows as you get [outcome]… so it's defensible in a procurement review."
Get it
Free

Agent-Ready Commerce One-Pager

How to position and structure your product so AI agents can find and buy it.

PDF · 2 pages
What's inside

The four things an agent needs: Discoverable · Machine-legible · Transactable · Data-as-a-product — plus a 7-point checklist ordered by impact.

The test: hand your listing to an LLM and ask "what does this do, who's it for, and what does it cost?" If the answer's vague, that's your rewrite.
Get it
Free

90-Day GTM Plan Template

The week-by-week plan I run with coaching clients to go from listed to pipeline.

Notion
What's inside

12 weeks, 3 phases — one focus a week, one output by Friday:

  • Days 1–30 fix the foundation · Days 31–60 build demand · Days 61–90 co-sell & scale.
Week 2 — Rewrite the listing → By Friday: paste-ready listing copy, live.
Get it

These tease the method. The engine that runs it — listing, co-sell, pricing and demand-gen on live Marketplace data — is Vellocity →

New skill · #10 — The Listing–Website Parity Generator: produce the JSON-LD that makes your AWS Marketplace listing’s claims machine-verifiable on your own site, so the AI buyer finds the proof. Get it free →