android-performance Skill
Gather and interpret Android performance evidence on an adb target using Simpleperf CPU profiles, Perfetto or Compose traces, gfxinfo frame data, dumpsys meminfo snapshots, Java heap dumps, and native allocation traces. Use when asked to profile an Android app flow, find CPU-heavy functions, diagnose jank, capture star Published by openai in plugins.
What is android-performance Skill?
Gather and interpret Android performance evidence on an adb target using Simpleperf CPU profiles, Perfetto or Compose traces, gfxinfo frame data, dumpsys meminfo snapshots, Java heap dumps, and native allocation traces. Use when asked to profile an Android app flow, find CPU-heavy functions, diagnose jank, capture star Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Design and media
- Data analysis use cases
- Design and media use cases
Technical details
- Install or run with Copy skill directory
When to use android-performance Skill
- Use it for data analysis.
- Use it for design and media.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/test-android-apps/skills/android-performance/SKILL.md
What it does
Gather and interpret Android performance evidence on an adb target using Simpleperf CPU profiles, Perfetto or Compose traces, gfxinfo frame data, dumpsys meminfo snapshots, Java heap dumps, and native allocation traces. Use when asked to profile an Android app flow, find CPU-heavy functions, diagnose jank, capture star
Skill instructions
Android Performance Use this skill to capture Android performance evidence for adb-installable apps. CPU sampling usually requires a debuggable or profileable build; frame stats, Perfetto, and logcat can still help when an app cannot be sampled. Compose with ../android-emulator-qa/SKILL.md for device selection, build/install/launch, UI driving, screenshots, UI trees, and logcat capture. Core Workflow 1. Pick one focused user-visible flow. 2. Choose the trace type that matches the question. 3. Record the flow with clear start and stop boundaries. 4. Pull or copy the trace produced by that run, then generate reports from that file. 5. Interpret reports with caveats about device, build type, sample count, and profiler limits. Avoid broad "use the app for a while" captures. They make traces hard to attribute and usually hide the functions that matter. Use a local adb target for meaningful timing. Store outputs in a run-specific artifact folder outside the skill directory: bash if [ -z "${A
Explore related resources
Frequently asked questions
What is android-performance?
android-performance is a open-source AI agent skill with Copy skill directory. Gather and interpret Android performance evidence on an adb target using Simpleperf CPU profiles, Perfetto or Compose traces, gfxinfo frame data, dumpsys meminfo snapshots, Java heap dumps, and.
Who is android-performance best for?
android-performance is best for reusing agent instructions, scripts, and references, data analysis workflows, design and media workflows.
How do I install android-performance?
Install or run android-performance using Copy skill directory. Check android-performance for the latest setup command.
Is android-performance actively maintained?
android-performance may need a closer maintenance check before production use.
Auto-fetched from GitHub.
