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Swift Performance

Listed
derklinke·vlatest·frontend

Helps with Swift, performance optimization as part of building frontend UIs and user experiences workflows.

Install on your platform

This skill no longer installs under the name swift-performance. derklinke/codex-config is deleted or private, so it cannot be installed from.

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Repository install instructions

What we know about this skill

Publisher

derklinke

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

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Not scanned. repository not found or private Source recorded as derklinke/codex-config.
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About this skill

What it does

The swift-performance skill optimizes Swift code execution speed. It analyzes and refactors Swift code to reduce runtime overhead, improve memory management, and leverage compiler optimizations. This results in faster application performance and reduced resource consumption.

When to use it

  • Slow iOS or macOS apps: Improve the responsiveness of existing applications experiencing performance bottlenecks.
  • Resource-intensive tasks: Optimize computationally heavy operations like image processing or data analysis within Swift projects.
  • Compiler optimization issues: Address cases where the compiler isn't automatically producing efficient code, requiring manual intervention.
  • Profiling and debugging: Identify and resolve specific performance problems highlighted by profiling tools.

Key capabilities

  • Code refactoring for speed
  • Memory management optimization
  • Leveraging Swift compiler optimizations
  • Runtime overhead reduction

Example prompts

  • "Optimize this Swift code snippet for faster execution: [code snippet]"
  • "Analyze my iOS app and identify performance bottlenecks."
  • "Refactor this function to improve memory usage in a macOS application."

Tips & gotchas

The skill requires access to the Swift source code being analyzed. It's most effective when used with existing projects, as it relies on analyzing current implementations for optimization opportunities.