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Mobile App Debugging

Checked
aj-geddes·vlatest·testing·MIT

Helps with mobile development, debugging as part of testing, debugging, and quality assurance 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 aj-geddes/useful-ai-prompts --skill mobile-app-debugging -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

aj-geddes

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 aj-geddes/useful-ai-prompts at 3f5182cfd7.

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

Commit
3f5182cfd7
Manifest
skills/mobile-app-debugging/SKILL.md
Scanned
7 files, 347 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 mobile-app-debugging skill enables AI agents to analyze, troubleshoot, and optimize mobile applications across iOS and Android platforms. It leverages device-specific diagnostics to identify crashes, performance bottlenecks, and UI inconsistencies in real-world environments.

When to use it

  • Diagnosing intermittent app crashes on specific device models or OS versions.
  • Analyzing memory leaks and battery drain issues during user sessions.
  • Validating UI rendering accuracy across different screen sizes and orientations.
  • Simulating network conditions to test offline functionality and error handling.

Key capabilities

  • Cross-platform compatibility analysis for iOS and Android ecosystems.
  • Real-time log parsing and stack trace interpretation.
  • Performance profiling including frame rate, CPU usage, and memory consumption.
  • Automated reproduction of user-reported bugs via simulated interactions.

Example prompts

  • "Analyze this crash log from an Android 14 device and suggest root causes."
  • "Simulate low-bandwidth conditions and report which API calls fail in this app."
  • "Compare UI layout consistency between iPhone 12 and Samsung Galaxy S23 for this screen."

Tips & gotchas

Ensure the target app is instrumented with proper logging before analysis to maximize diagnostic depth. This skill requires access to physical or emulated devices matching the production environment for accurate results.