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Maui Performance Optimization

Checked
rimblehelm·vlatest·testing

Helps with 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.

  1. 1

    Run this in your project

    terminal
    $ npx skills add rimblehelm/.net-maui-skills --skill maui-performance-optimization -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

rimblehelm

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 rimblehelm/.net-maui-skills at 520d0a9eb6.

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

Scanned
17 files, 345 lines
Copies in repo
2 — all of them scanned
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 .NET MAUI applications for improved performance. It identifies and addresses common bottlenecks, such as inefficient data binding, excessive UI updates, and slow rendering times. The goal is to create smoother, more responsive user experiences within your MAUI apps.

When to use it

  • Slow app startup: If your MAUI application takes a long time to launch.
  • Laggy UI interactions: When scrolling or navigating through screens feels sluggish.
  • High memory usage: To reduce the amount of memory consumed by your .NET MAUI application.
  • Performance regressions after updates: After code changes, if performance degrades noticeably.

Key capabilities

  • Identifies data binding inefficiencies.
  • Optimizes UI rendering performance.
  • Analyzes and reduces memory consumption.
  • Provides recommendations for improving app startup time.

Example prompts

  • "Analyze my .NET MAUI application for performance bottlenecks."
  • "Suggest ways to optimize the data binding in my MAUI project."
  • "How can I reduce the memory footprint of my MAUI app?"

Tips & gotchas

This skill requires a .NET MAUI project as input. It's most effective when used proactively during development, rather than as a reactive measure after significant performance issues arise.