Agent skill

growth-experimentation

Help users build and scale a high-velocity growth experimentation engine that prioritizes impact and fosters a culture of rapid learning.

RefoundAIgithub.com/RefoundAIGitHub ↗
claude-codeMIT
Install
npx skills add RefoundAI/lenny-skills --skill growth-experimentation --agent claude-code

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

Facts
Files in the skill folder: 3
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/growth-experimentation/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,215

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

From the SKILL.md

# Growth Experimentation Velocity Build a high-output engine to compound small wins into massive growth. Help the user with growth experimentation velocity using insights from 10 guests and posts across Lenny's Podcast and Newsletter. ## How to Help 1. **Establish the Baseline** - Analyze current conversion funnels and identify the single North Star metric to focus on. 2. **Prioritize and Plan** - Use frameworks like ICE or RICE to rank experiments by impact and engineering cost. 3. **Execute and Iterate** - Launch scrappy tests quickly to find signals of life before scaling into robust features. 4. **Scale and Socialize** - Systematize the sharing of wins and failures across the organization to multiply the impact of every insight. ## Core Principles ### Search for signs of life Timothy Davis: "You can always do a very, very small test. You can just put a little money into a platform, see if there's a sign of life. If there is, then you can pull back and say, 'Okay, we have signs of life. Now let's build a campaign around that.'" Validate new channels or ideas using low-budget tests and narrow match thresholds before committing significant resources. ### Embrace the counterfactual

What's inside
Steps it walks through
  1. How to Help
  2. Core Principles
  3. Search for signs of life
  4. Embrace the counterfactual
  5. Leverage compounding effects
  6. Optimize psychological commitment
  7. Lower friction with scrappy tools
  8. Templates & Frameworks
  9. Questions to Help Users
  10. Common Mistakes to Flag
  11. Deep Dive
  12. Related Skills
Ships with 2 files
  • references/artifacts.md
  • references/guest-insights.md
More from lenny-skills
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About this skill
What does the growth-experimentation skill do?

Help users build and scale a high-velocity growth experimentation engine that prioritizes impact and fosters a culture of rapid learning.

How do I install it?

Run `npx skills add RefoundAI/lenny-skills --skill growth-experimentation --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 RefoundAI/lenny-skills, a repository with 1,215 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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