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Capacitor Performance

Checked
cap-go·vlatest·frontend·MIT

Helps with Go, performance optimization as part of agent workflows workflows.

Repository

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 cap-go/capgo-skills --skill capacitor-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

cap-go

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 cap-go/capacitor-skills at c0afb73c85.

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

Commit
c0afb73c85
Manifest
skills/capacitor-performance/SKILL.md
Scanned
4 files, 352 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 enhances Capacitor applications by optimizing runtime performance, reducing memory usage, and improving load times for mobile and web deployments. It provides specialized tools to analyze bottlenecks and streamline the build process for better user experiences.

When to use it

  • Optimize heavy UI: Improve scroll performance in apps with complex lists or animations.
  • Reduce app size: Minimize bundle volumes to speed up initial downloads on mobile devices.
  • Debug memory leaks: Identify and fix issues causing excessive RAM consumption during long sessions.
  • Speed up builds: Accelerate the development cycle by optimizing compilation times for large projects.

Key capabilities

  • Runtime performance profiling and analysis
  • Memory usage monitoring and leak detection
  • Bundle size reduction strategies
  • Build process optimization techniques
  • Cross-platform performance tuning (iOS, Android, Web)

Example prompts

  • "Analyze my Capacitor app's memory usage during a 10-minute session and suggest fixes for leaks."
  • "Optimize the build configuration to reduce the final bundle size by at least 20%."
  • "Profile the main thread performance of my list view component and recommend rendering improvements."

Tips & gotchas

Ensure your project has detailed logging enabled before running performance analysis to capture accurate metrics. This skill is most effective when combined with native debugging tools for deep-dive diagnostics.