Openclaw-master-skills native-app-performance

Native macOS/iOS app performance profiling via xctrace/Time Profiler and CLI-only analysis of Instruments traces. Use when asked to profile, attach, record, or analyze Instruments .trace files, find hotspots, or optimize native app performance without opening Instruments UI.

install
source · Clone the upstream repo
git clone https://github.com/LeoYeAI/openclaw-master-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/LeoYeAI/openclaw-master-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/native-app-performance" ~/.claude/skills/leoyeai-openclaw-master-skills-native-app-performance && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/LeoYeAI/openclaw-master-skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/native-app-performance" ~/.openclaw/skills/leoyeai-openclaw-master-skills-native-app-performance && rm -rf "$T"
manifest: skills/native-app-performance/SKILL.md
source content

Native App Performance (CLI-only)

Goal: record Time Profiler via

xctrace
, extract samples, symbolicate, and propose hotspots without opening Instruments.

Quick start (CLI)

  1. Record Time Profiler (attach):
# Start app yourself, then attach
xcrun xctrace record --template 'Time Profiler' --time-limit 90s --output /tmp/App.trace --attach <pid>
  1. Record Time Profiler (launch):
xcrun xctrace record --template 'Time Profiler' --time-limit 90s --output /tmp/App.trace --launch -- /path/App.app/Contents/MacOS/App
  1. Extract time samples:
scripts/extract_time_samples.py --trace /tmp/App.trace --output /tmp/time-sample.xml
  1. Get load address for symbolication:
# While app is running
vmmap <pid> | rg -m1 "__TEXT" -n
  1. Symbolicate + rank hotspots:
scripts/top_hotspots.py --samples /tmp/time-sample.xml \
  --binary /path/App.app/Contents/MacOS/App \
  --load-address 0x100000000 --top 30

Workflow notes

  • Always confirm you’re profiling the correct binary (local build vs /Applications). Prefer direct binary path for
    --launch
    .
  • Ensure you trigger the slow path during capture (menu open/close, refresh, etc.).
  • If stacks are empty, capture longer or avoid idle sections.
  • xcrun xctrace help record
    and
    xcrun xctrace help export
    show correct flags.

Included scripts

  • scripts/record_time_profiler.sh
    : record via attach or launch.
  • scripts/extract_time_samples.py
    : export time-sample XML from a trace.
  • scripts/top_hotspots.py
    : symbolicate and rank top app frames.

Gotchas

  • ASLR means you must use the runtime
    __TEXT
    load address from
    vmmap
    .
  • If using a new build, update the
    --binary
    path; symbols must match the trace.
  • CLI-only flow: no need to open Instruments if stacks are symbolicated via
    atos
    .