growth-plg_skill

Overview

This skill helps founders design and operationalize product-led growth (PLG) strategies focused on activation, retention, viral loops, and measurable growth experiments. It provides concrete playbooks, email sequences, onboarding patterns, and tracking requirements you can hand to engineering or an AI assistant. The guidance emphasizes systems over hacks and prioritizes activation and retention before acquisition.

How this skill works

The skill inspects your funnel to identify the Aha Moment and recommends onboarding flows that get users to that moment in under three minutes. It prescribes acquisition options tied to product fit, designs shareable viral mechanics, and outlines retention habit loops and feature-drip schedules. It also provides the metrics to instrument and a simple A/B test framework to validate changes quickly.

When to use it

• You need to define or shorten the path to the product Aha Moment
• Activation or D7 retention rates are low and you need a prioritized plan
• You want to add engineered virality (invites, shared outputs, embeds)
• You’re launching a freemium or free-tool acquisition play and need execution steps
• You need a lightweight experiment plan and tracking checklist

Best practices

• Pick one growth lever at a time; make it work before adding more
• Optimize activation and retention before scaling acquisition spend
• Design onboarding to reach the Aha Moment in under 3 minutes with sample data
• Embed sharing into core workflows, not as an optional add-on
• Measure activation rate, time-to-aha, D1/D7/D30 retention, and free-to-paid conversion

Example use cases

• Create a 3-step onboarding wizard that delivers the Aha Moment with pre-filled sample data
• Build a template gallery or free calculator that requires no signup and drives organic traffic
• Add collaborative invites and shareable public outputs with 'Made with [Product]' branding
• Implement a weekly digest and activity notifications to build habit loops
• Run a 2-week A/B test to improve activation rate using a simple feature flag