steipete

instruments-profiling

1,503
145
# Install this skill:
npx skills add steipete/agent-scripts --skill "instruments-profiling"

Install specific skill from multi-skill repository

# Description

Use when profiling native macOS or iOS apps with Instruments/xctrace. Covers correct binary selection, CLI arguments, exports, and common gotchas.

# SKILL.md


name: instruments-profiling
description: Use when profiling native macOS or iOS apps with Instruments/xctrace. Covers correct binary selection, CLI arguments, exports, and common gotchas.
metadata:
short-description: Instruments profiling for macOS/iOS apps


Instruments Profiling (macOS/iOS)

Use this skill when the user wants performance profiling or stack analysis for native apps.
Focus: Time Profiler, xctrace CLI, and picking the correct binary/app instance.

Quick Start (CLI)

  • List templates: xcrun xctrace list templates
  • Record Time Profiler (launch):
  • xcrun xctrace record --template 'Time Profiler' --time-limit 60s --output /tmp/App.trace --launch -- /path/To/App.app
  • Record Time Profiler (attach):
  • Launch app yourself, get PID, then:
  • xcrun xctrace record --template 'Time Profiler' --time-limit 60s --output /tmp/App.trace --attach <pid>
  • Open trace in Instruments:
  • open -a Instruments /tmp/App.trace

Note: xcrun xctrace --help is not a valid subcommand. Use xcrun xctrace help record.

Picking the Correct Binary (Critical)

Gotcha: Instruments may profile the wrong app (e.g., one in /Applications) if LaunchServices resolves a different bundle.
Use these rules:

  • Prefer direct binary path for deterministic launch:
  • xcrun xctrace record ... --launch -- /path/App.app/Contents/MacOS/App
  • If launching .app, ensure it’s the intended bundle:
  • open -n /path/App.app
  • Verify with ps -p <pid> -o comm= -o command=
  • If both /Applications/App.app and a local build exist, explicitly target the local build path.
  • After launch, confirm the process path before trusting the trace.

Command Arguments (xctrace)

  • --template 'Time Profiler': template name from xctrace list templates.
  • --launch -- <cmd>: everything after -- is the target command (binary or app bundle).
  • --attach <pid|name>: attach to running process.
  • --output <path>: .trace output. If omitted, file saved in CWD.
  • --time-limit 60s|5m: set capture duration.
  • --device <name|UDID>: required for iOS device runs.
  • --target-stdout -: stream launched process stdout to terminal (useful for CLI tools).

Exporting Stacks (CLI)

  • Inspect trace tables:
  • xcrun xctrace export --input /tmp/App.trace --toc
  • Export raw time-profile samples:
  • xcrun xctrace export --input /tmp/App.trace --xpath '/trace-toc/run[@number="1"]/data/table[@schema="time-profile"]' --output /tmp/time-profile.xml
  • Post-process in a script (Python/Rust) to aggregate stacks.

Instruments UI Workflow

  • Template: Time Profiler
  • Use “Record” and capture the slow path (startup vs steady-state)
  • Call Tree tips:
  • Hide System Libraries
  • Invert Call Tree
  • Separate by Thread
  • Focus on hot frames and call counts

Gotchas & Fixes

  • Wrong app profiled: LaunchServices resolves installed app instead of local build.
  • Fix: use direct binary path or --attach with known PID.
  • No samples / empty trace: App exits quickly or never hits work.
  • Fix: longer capture, trigger workload during recording.
  • Privacy prompts: xctrace may need Developer Tools permission.
  • Fix: System Settings → Privacy & Security → Developer Tools → allow Terminal/Xcode.
  • Large XML exports: time-profile exports are huge.
  • Fix: filter with XPath and aggregate offline; don’t print to terminal.

iOS Specific Notes

  • Device: use xcrun xctrace list devices and --device <UDID>.
  • Launch via Xcode if needed; attach with xctrace --attach.
  • Ensure debug symbols for meaningful stacks.

Verification Checklist

  • Confirm trace process path matches target build.
  • Confirm stacks show expected app frames.
  • Capture covers the slow operation (startup/refresh).
  • Export stacks for automated diffing if optimizing.

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.