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ios-ettrace-performance Skill

AI Agent SkillJavaScriptOpen source

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.

Decision snapshot

Is this a fit?

Best for

Design and media, Writing, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

19 days ago

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

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.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
92/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Design and media
  • Writing
  • Design and media use cases
  • Writing use cases

Declared skill metadata

  • Source file: plugins/build-ios-apps/skills/ios-ettrace-performance/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • 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

JavaScriptCopy skill directory

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

Verified compatibility and discovery

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.

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5,140
Forks
717
Last commit
19 days ago
Last verified
Aug 25, 2026
Metadata fetched
Aug 25, 2026
Repository age
6 months
License
Unknown

Project health auto-fetched from the source repository.

Maintain this resource?

Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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