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vercel-composition-patterns

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About vercel-composition-patterns

V

vercel-composition-patterns

React composition patterns that scale

vercel-composition-patterns is an agent skill from the Supabase repository that teaches React composition patterns for building components that scale. Its main aim is to avoid boolean prop proliferation, where a component collects so many true-or-false props that its behavior is hard to follow. The skill recommends compound components, lifting state, and composing a component's internals, so that callers assemble the pieces they need rather than passing flags. It also covers designing flexible component APIs and working with context providers. The skill lists when to apply it: when refactoring components with many boolean props, when building reusable component libraries, when designing flexible component APIs, when reviewing component architecture, and when working with compound components or context providers. Its rules are grouped into categories ordered by priority. The skill states that these patterns make codebases easier for both humans and AI agents to work with as they grow. It suits React developers who maintain component libraries or large trees of components.

View vercel-composition-patternsAll AI Skills apps
Price
Free
Made by
supabase
Category
AI Skills
Website
github.com/supabase/supabase/vercel-composition-patterns