Can I use this for memory leak detection in Rust?

Yes, it includes specific guidance on subscription management, avoiding circular references, and using bounded collections to prevent memory growth in GPUI views.

Does it include support for large list rendering?

Yes, it provides a complete implementation pattern for virtual scrolling to ensure that long lists only render the items currently visible in the viewport.

How does this skill help with GPUI rendering?

It provides specific patterns to minimize cx.notify() calls, implement memoization for expensive computations, and reduce unnecessary render cycles by tracking state changes more effectively.

What profiling tools does this skill provide instructions for?

The skill includes strategies for using cargo-flamegraph for CPU profiling, Valgrind and heaptrack for memory analysis, and macOS Instruments for allocation tracking.

GPUI Performance Optimizer

Name: GPUI Performance Optimizer
Author: geoffjay

bygeoffjay

•

디자인 도구

Optimizes GPUI application performance through advanced rendering techniques, layout efficiency, and memory management strategies.

소개

This skill provides specialized guidance for developers building high-performance applications with the GPUI framework in Rust. It offers actionable patterns for minimizing render cycles, optimizing layout complexity, implementing virtual scrolling, and preventing memory leaks. Whether you're debugging frame drops, profiling CPU usage with flamegraphs, or implementing efficient state subscriptions, this skill ensures your GPUI applications remain highly responsive and resource-efficient by following proven implementation patterns.

주요 기능

2 GitHub stars
Virtual scrolling implementation for high-performance list rendering
Comprehensive profiling strategies using cargo-flamegraph and Valgrind
Layout complexity reduction and thrashing prevention techniques
Memory management patterns to prevent leaks and circular references
Advanced rendering cycle optimization and state change management

사용 사례

Implementing efficient data lists with virtualized scrolling for large datasets
Reducing high CPU usage and frame drops in complex GPUI interfaces
Profiling and debugging memory growth in long-running Rust desktop applications

소개

주요 기능

2 GitHub stars
Virtual scrolling implementation for high-performance list rendering
Comprehensive profiling strategies using cargo-flamegraph and Valgrind
Layout complexity reduction and thrashing prevention techniques
Memory management patterns to prevent leaks and circular references
Advanced rendering cycle optimization and state change management

사용 사례

Implementing efficient data lists with virtualized scrolling for large datasets
Reducing high CPU usage and frame drops in complex GPUI interfaces
Profiling and debugging memory growth in long-running Rust desktop applications