Agent skill · Testing & QA

gtm-product-led-growth

Build self-serve acquisition and expansion motions. Use when deciding PLG vs sales-led, optimizing activation, driving freemium conversion, building growth equations, or recognizing when product complexity demands human touch. Includes the parallel test where sales-led won 10x on revenue.

GitHub68,948★ · +463/wk · 2 repos on radarProfile →
copilotMIT
Install
npx skills add github/awesome-copilot --skill gtm-product-led-growth --agent copilot

Same command for any agent — swap --agent for claude-code, codex, cursor.

Facts
Files in the skill folder: 1
SKILL.md size: 12 KB
Bundled scripts: none
Declared author: Smit Patel (https://linkedin.com/in/smitkpatel)
Path: skills/gtm-product-led-growth/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 37,432 · +281 this week
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Product-Led Growth Build self-serve acquisition and expansion motions. But first, figure out if PLG is even the right motion for your product. ## When to Use **Triggers:** - "Should we build PLG or sales-led?" - "How do we drive self-serve adoption?" - "Freemium to paid conversion isn't working" - "Developer-led adoption strategy" - "Which growth channels should we invest in?" - "How do I know if PLG will work?" **Context:** - Developer tools and platforms - B2B SaaS with self-serve potential - Products where value is obvious without demo - Bottom-up adoption motions - Growth channel prioritization --- ## Core Frameworks ### 1. The PLG Reality Check (Test Before You Commit) **What I Learned Running Both Motions in Parallel:** Classic startup debate. PLG camp: "Developers want self-serve." Sales camp: "Enterprises need hand-holding." Instead of arguing, we tested both for 6 months. Same product, two GTM motions, tracked everything. **The Results:** PLG: High volume, low ACV (~$5K), fast time-to-revenue, higher churn. Sales-led: Lower volume, high ACV (~$50K), slower time-to-revenue, lower churn. **Sales won 10x on dollars despite 10x less volume.** **Why:** Product complexity + bu

What's inside
Steps it walks through
  1. When to Use
  2. Core Frameworks
  3. 1. The PLG Reality Check (Test Before You Commit)
  4. 2. The Growth Equation (Map Inputs to Outputs)
  5. 3. Channel Economics (Kill Losers, Double Down on Winners)
  6. 4. Time to First Value (The Only Activation Metric)
  7. 5. The $5K → $50K Inflection (When PLG Breaks)
  8. 6. Growth Forecasting (Plan for Uncertainty)
  9. 7. The Playbook Documentation Habit
  10. Decision Trees
  11. Should We Build PLG or Sales-Led?
  12. Keep, Scale, or Kill This Channel?
  13. Common Mistakes
  14. Quick Reference
More from awesome-copilot
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About this skill
What does the gtm-product-led-growth skill do?

Build self-serve acquisition and expansion motions. Use when deciding PLG vs sales-led, optimizing activation, driving freemium conversion, building growth equations, or recognizing when product complexity demands human touch. Includes the parallel test where sales-led won 10x on revenue.

How do I install it?

Run `npx skills add github/awesome-copilot --skill gtm-product-led-growth --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From github/awesome-copilot, a repository with 37,432 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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