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Capacitor Performance

Checked
cap-go·vlatest·frontend·MIT

Predicts capacitor lifespan and performance degradation based on operating conditions and historical data.

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/capgo-skills at bc99163045.

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

Commit
bc99163045
Manifest
skills/capacitor-performance/SKILL.md
Scanned
6 files, 316 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 enables AI agents to interact with Capacitor applications, allowing them to execute commands and manage app states within a hybrid mobile environment. It bridges the gap between web-based AI reasoning and native mobile device capabilities through the Capacitor framework.

When to use it

  • Automating routine maintenance tasks on Capacitor-built mobile apps.
  • Debugging runtime errors by executing diagnostic scripts directly in the app context.
  • Triggering specific UI events or state changes programmatically without manual interaction.
  • Integrating AI-driven workflows with native device features exposed via Capacitor plugins.

Key capabilities

  • Execution of shell commands within the Capacitor environment.
  • Management of application lifecycle states (e.g., launching, stopping).
  • Interaction with native platform APIs through Capacitor's plugin architecture.
  • Real-time monitoring and control of hybrid app processes.

Example prompts

  • "Launch my Capacitor app in debug mode and monitor the console output for any errors."
  • "Execute a cleanup script to clear temporary files generated by the Capacitor build process."
  • "Check if the current Capacitor app is running on this device and report its version number."

Tips & gotchas

Ensure your AI agent has appropriate permissions to execute commands in the target environment, as security restrictions may block certain operations. Verify that the Capacitor project is properly configured with necessary plugins before attempting complex interactions.