growth-loops

The growth-loops skill helps identify and design growth loops (flywheels) that create sustainable traction and reduce reliance on paid acquisition. It solves the problem of building product-led growth by evaluating five proven loop mechanisms against a specific product, then recommending which to build first. It is intended for designing growth mechanisms, building viral or referral traction, analyzing competitor growth strategies, and optimizing a product for product-led growth. The framework is based on growth loops research by Ognjen Bošković and focuses on compounding acquisition through built-in, product-native sharing and collaboration.

The skill evaluates five loop types: Viral (in-product content shared on external platforms brings new users back), Usage (users create and share value that invites new users or drives re-engagement), Collaboration (users invite colleagues to co-create, expanding within organizations), User-Generated (users discover others' creations, then create and share their own), and Referral (users invite others in exchange for rewards). Each type is described with its mechanism, example, strength, and challenge. Its process runs in five steps: Define Product Value, Evaluate Loop Fit, Design Loop Mechanics, Calculate Loop Coefficient (invites/shares per user, conversion rate, net new users per cycle, time per cycle), and Build the Loop starting with the highest-leverage option. Input is passed via $ARGUMENTS including product description, target user behavior, existing sharing/collaboration features, current growth channels and metrics, and constraints.

This skill targets product managers and growth practitioners. Its output is a growth loops analysis including a ranked evaluation of all five loop types, a recommended primary loop with an implementation plan, secondary loops to layer over time, a key metrics and measurement framework, a 30-60-90 day roadmap, and potential loop coefficient and growth projections. Tips include starting with one loop before adding complexity, noting that viral loops compound fastest but take time while collaboration loops create the strongest retention and LTV, and measuring loop health weekly during optimization.