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Native App Performance

Checked
steipete·vlatest·backend·MIT

Analyzes native app performance metrics like startup time, memory usage, and frame rates to identify optimization opportunities.

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 steipete/agent-scripts --skill native-app-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

steipete

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 steipete/agent-scripts at 3f8c6a33f9.

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

Commit
3f8c6a33f9
Manifest
skills/native-app-performance/SKILL.md
Scanned
4 files, 269 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

The native-app-performance skill enables AI agents to analyze and optimize the runtime efficiency of native mobile applications. It focuses on identifying bottlenecks in memory usage, battery consumption, and CPU load specific to iOS and Android environments.

When to use it

  • Diagnosing why a native app is draining battery faster than expected during background tasks.
  • Identifying memory leaks causing crashes or excessive restarts in long-running native sessions.
  • Optimizing startup times for native applications built with Swift, Kotlin, or C++.
  • Evaluating the performance impact of recent code changes on device hardware resources.

Key capabilities

  • Analyzes memory allocation and garbage collection patterns in native code.
  • Monitors CPU utilization spikes during specific user interactions or rendering cycles.
  • Assesses battery drain metrics relative to active app processes.
  • Provides actionable recommendations for optimizing native framework usage.

Example prompts

  • "Analyze the current performance profile of my iOS app and suggest fixes for high memory usage."
  • "Why is my Android native module causing a spike in CPU temperature during image processing?"
  • "Optimize the startup sequence of this native application to reduce launch time by at least 20%."

Tips & gotchas

Ensure you have access to device logs or profiling tools (like Xcode Instruments or Android Profiler) before running deep analysis, as the skill relies on accurate telemetry data. Results may vary significantly based on the specific hardware generation and OS version of the target devices.