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Flutter Performance

Checked
spjoshis·vlatest·frontend

Helps with Flutter, performance 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 spjoshis/claude-code-plugins --skill flutter-performance -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

spjoshis

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 spjoshis/claude-code-plugins at ddcf16ef7b.

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

Scanned
1 file, 211 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 Flutter applications for performance. It can identify and suggest fixes for common bottlenecks, such as inefficient widget rebuilds or excessive memory usage. The tool aims to improve app responsiveness and reduce resource consumption on various devices.

When to use it

  • Slow UI rendering: When your Flutter application's user interface feels sluggish or unresponsive.
  • High memory footprint: If you suspect your app is consuming too much memory, leading to crashes or poor battery life.
  • Performance regressions: After making changes to your codebase, use this skill to ensure performance hasn’t degraded.
  • Preparing for release: Before releasing an application, optimize it with this tool to provide a smooth user experience.

Key capabilities

  • Identifies inefficient widget rebuilds.
  • Analyzes memory usage patterns.
  • Suggests code optimizations.
  • Helps reduce app resource consumption.

Example prompts

  • "Analyze my Flutter app for performance bottlenecks."
  • "Find widgets that are rebuilding unnecessarily in this screen."
  • "How can I reduce the memory footprint of my Flutter application?"

Tips & gotchas

This skill requires a Flutter project to be accessible, either locally or via a repository. The accuracy of suggestions depends on the complexity and structure of your codebase; more complex apps may require manual review of proposed changes.