What problem does it solve?
This Skill tackles sluggish makalahapp interfaces caused by heavy bundles, inefficient renders, and redundant data fetches so users experience faster pages and streaming chat replies.
Core Features & Use Cases
- Profiling and observability: collect context on the slow UI area, read the profiling checklist, and trace rerenders while documenting network behavior.
- Render optimization: recommend memoization, reduce client components, and enforce smarter code splitting by following the render and bundle optimization references.
- Data fetch strategy: audit Convex/Next.js queries for batching, caching, and indexing improvements, then validate the impact with lint/build tests.
- Use Case: When a chat or data-heavy page lags after a new feature deploy, use this workflow to diagnose bundle weight, rendering hot paths, and data inefficiencies before proposing safe fixes.
Quick Start
Ask for a performance audit that profiles the slow UI flow, evaluates bundle and render hot paths, and checks Convex query efficiency using the provided references.