ios-ettrace-performance Skill
Capture and interpret iOS Simulator ETTrace profiles. Use when profiling launch or runtime latency, comparing traces, or finding CPU-heavy stacks. Published by openai in plugins.
What is ios-ettrace-performance Skill?
Capture and interpret iOS Simulator ETTrace profiles. Use when profiling launch or runtime latency, comparing traces, or finding CPU-heavy stacks. 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
- Design and media
- Writing
- Design and media use cases
- Writing use cases
Technical details
- Install or run with Copy skill directory
When to use ios-ettrace-performance Skill
- Use it for design and media.
- Use it for writing.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/build-ios-apps/skills/ios-ettrace-performance/SKILL.md
What it does
Capture and interpret iOS Simulator ETTrace profiles. Use when profiling launch or runtime latency, comparing traces, or finding CPU-heavy stacks.
Skill instructions
iOS ETTrace Performance Use this skill to capture a focused, symbolicated ETTrace profile from an iOS simulator app. Pair it with ../ios-debugger-agent/SKILL.md when the task also needs simulator build, install, launch, UI driving, logs, or screenshots. Core Workflow 1. Pick one focused flow and write down the expected start and stop points. 2. Build the exact simulator app that will be installed and profiled. 3. Temporarily link ETTrace into that app target for simulator/debug profiling. 4. Collect UUID-matched dSYMs for the app executable and embedded dynamic frameworks. 5. Capture one launch or runtime trace. 6. Preserve the processed flamegraph JSON immediately after the run. 7. Analyze only the processed JSON and report the flow, artifacts, hotspots, and caveats. Avoid broad "use the app for a while" captures. One trace should correspond to one user-visible flow. Setup Use a writable run folder for each profiling session: bash if [ -z "${RUNDIR:-}" ]; then RUNDIR="$(mktemp -d "${T
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Frequently asked questions
What is ios-ettrace-performance?
ios-ettrace-performance is a open-source AI agent skill with Copy skill directory. Capture and interpret iOS Simulator ETTrace profiles. Use when profiling launch or runtime latency, comparing traces, or finding CPU-heavy stacks.
Who is ios-ettrace-performance best for?
ios-ettrace-performance is best for reusing agent instructions, scripts, and references, design and media workflows, writing workflows.
How do I install ios-ettrace-performance?
Install or run ios-ettrace-performance using Copy skill directory. Check ios-ettrace-performance for the latest setup command.
Is ios-ettrace-performance actively maintained?
ios-ettrace-performance may need a closer maintenance check before production use.
Auto-fetched from GitHub.
