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Deep Performance Tuning

Checked
fwrite0920·vlatest·other

Optimizes AI model performance through iterative data analysis, parameter adjustments, and nuanced feedback loops.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it Deep Performance Tuning, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add fwrite0920/android-skills --skill "Deep Performance Tuning" -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

fwrite0920

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 fwrite0920/android-skills at 9a9cf1e4dd.

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

Commit
9a9cf1e4dd
Manifest
deep_performance_tuning/SKILL.md
Scanned
1 file, 271 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 allows for deep performance tuning of Android applications. It can identify and resolve bottlenecks, optimize resource usage (CPU, memory, network), and improve overall app responsiveness. The tool provides detailed profiling data to pinpoint areas needing improvement and suggests targeted optimizations.

When to use it

  • Slow App Performance: When users report slow loading times or laggy interactions within an Android application.
  • High Battery Drain: To investigate and reduce excessive battery consumption caused by inefficient code or resource management.
  • Memory Leaks: To diagnose and fix memory leaks that can lead to crashes or performance degradation over time.
  • Network Bottlenecks: When network requests are slow or unreliable, impacting app functionality.

Key capabilities

  • Profiling: Detailed CPU, Memory, and Network usage analysis.
  • Bottleneck Identification: Pinpoints specific code sections causing performance issues.
  • Resource Optimization Suggestions: Provides recommendations for improving resource utilization.
  • Targeted Tuning: Allows focusing on specific areas of the application for optimization.

Example prompts

  • "Analyze the startup time of my Android app and identify bottlenecks."
  • "Profile the network usage of this screen in my app and suggest optimizations."
  • “Find memory leaks within the MainActivity class.”

Tips & gotchas

This skill requires a rooted Android device or emulator for full profiling capabilities. The results can be complex, requiring some understanding of Android development principles to interpret effectively.