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Swift Performance Optimization Skill

Checked
fal3·vlatest·testing·MIT

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

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it Swift Performance Optimization Skill, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add fal3/claude-skills-collection --skill "Swift Performance Optimization Skill" -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

fal3

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned fal3/claude-skills-collection at 7201e746f4.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
7 files, 430 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill helps optimize Swift code for improved performance. It analyzes existing Swift code, identifies bottlenecks and inefficiencies, and suggests targeted improvements to reduce execution time and memory usage. The skill can also provide guidance on best practices for writing performant Swift code from the outset.

When to use it

  • Slow App Performance: When users report slow loading times or sluggish responsiveness in a Swift-based application.
  • Memory Leaks: To help diagnose and resolve memory leaks that are impacting app stability and performance.
  • Code Refactoring: During code refactoring efforts, to ensure new or modified code maintains optimal performance characteristics.
  • Profiling & Optimization: As part of a regular development cycle for proactively identifying and addressing performance issues before release.

Key capabilities

  • Code analysis for bottlenecks
  • Performance optimization suggestions
  • Memory leak detection assistance
  • Swift best practices guidance

Example prompts

  • "Analyze this Swift code snippet and suggest improvements for better performance: [code snippet]"
  • "I'm experiencing memory leaks in my iOS app. Can you help me identify the source?"
  • "What are some best practices for writing efficient Swift code when dealing with large datasets?"

Tips & gotchas

The skill’s effectiveness relies on providing clear and concise Swift code snippets or descriptions of specific performance issues. It is most effective when used in conjunction with profiling tools to pinpoint areas needing optimization.