Instruments Profiling (macOS/iOS)
SkillAI & modelsLets your agent profile macOS and iOS apps with Instruments and xctrace to find slow code.
Then ask your AI: use the Instruments Profiling (macOS/iOS) skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add it as a step in a pipeline you build on Ahel, or connect Ahel to Claude, ChatGPT, Cursor, Claude Code or Codex and ask your AI to use it.
About this skill
Instruments/xctrace profiling: macOS/iOS traces, binaries, args, exports.
What this skill tells your AI
The instructions your AI receives, as published by steipete/agent-scripts in skills/instruments-profiling/SKILL.md and read by Ahel’s review.
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.appand 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 fromxctrace list templates.--launch -- <cmd>: everything after--is the target command (binary or app bundle).--attach <pid|name>: attach to running process.--output <path>:.traceoutput. 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
--attachwith known PID.
- Fix: use direct binary path or
- No samples / empty trace: App exits quickly or never hits work.
- Fix: longer capture, trigger workload during recording.
- Privacy prompts:
xctracemay need Developer Tools permission.- Fix: System Settings → Privacy & Security → Developer Tools → allow Terminal/Xcode.
- Large XML exports:
time-profileexports are huge.- Fix: filter with XPath and aggregate offline; don’t print to terminal.
iOS Specific Notes
- Device: use
xcrun xctrace list devicesand--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.
Signals
- GitHub stars
- 7k
- Forks
- 635
- Last commit
- Oct 2026
Others that do the same job
Advanced
- Item type
- skill
- Key
instruments-profiling-steipete- Source
- github.com/steipete/agent-scripts
github.com/steipete/agent-scripts
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