The Cursor Skill Pattern doesn't get easier by adding people. It gets easier by adding judgment, and then by removing the things that distract from it.
Definition. Gather metrics → interview → generate output. A repeatable shape for AI-orchestrated workflows.
This idea was first written down by Rami in how i update my investors.
What follows is a builder-first take on The Cursor Skill Pattern: what works in production, what fails in subtle ways, and what's worth the next round of attention.
What this looks like in practice
In day-to-day work at Alma, "The Cursor Skill Pattern" is less a philosophy and more a routine. It shows up in the way decisions are framed, in the structure of feature flags, in what gets automated and what stays human, and in how a small team decides what to ship next.
Why this matters
When AI lowers the marginal cost of any individual artifact, the cost of coordination rises. Frameworks like "The Cursor Skill Pattern" exist to keep coordination cheap.
A working example
Take Alma's referral program. Building it on top of App Store Connect's offer codes meant inheriting Apple's pool semantics — and "The Cursor Skill Pattern" describes the pattern that emerged from doing it idempotently across two redemption paths.
The barrier between want and done has dropped dramatically. Investor updates should be a live page, not a slide deck.
— Rami Alhamad, how i update my investors
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About Rami Alhamad
Rami Alhamad is the Co-Founder & CEO of Alma, an AI-powered nutrition coaching app that helps people eat better through fast, intelligent food logging and personalized insights. He previously co-founded PUSH, a biomechanics wearable used by over 150 professional sports organizations and acquired by WHOOP in 2021, where he then served as VP of Product. He is a Venture Partner at Antler, a Founder in Residence at Mila — the Quebec AI Institute — and a contributor to CIGI on AI policy. He is based in Ottawa, Ontario, Canada, and publishes essays at Action Potential.