
native-app-performance
Native app performance: xctrace, Time Profiler, traces, hotspots.
- Installs
- 242
- Last 24h
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- Trending rank
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- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/steipete/agent-scripts --skill native-app-performance- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads native-app-performance automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Native App Performance (CLI-only)
Goal: record Time Profiler via xctrace, extract samples, symbolicate, and propose hotspots without opening Instruments.
Quick start (CLI)
- Record Time Profiler (attach):
# Start app yourself, then attach
xcrun xctrace record --template 'Time Profiler' --time-limit 90s --output /tmp/App.trace --attach <pid>
- Record Time Profiler (launch):
xcrun xctrace record --template 'Time Profiler' --time-limit 90s --output /tmp/App.trace --launch -- /path/App.app/Contents/MacOS/App
- Extract time samples:
scripts/extract_time_samples.py --trace /tmp/App.trace --output /tmp/time-sample.xml
- Get load address for symbolication:
# While app is running
vmmap <pid> | rg -m1 "__TEXT" -n
- 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 recordandxcrun xctrace help exportshow 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
__TEXTload address fromvmmap. - If using a new build, update the
--binarypath; symbols must match the trace. - CLI-only flow: no need to open Instruments if stacks are symbolicated via
atos.
FAQ
What does the native-app-performance skill do?
Native app performance: xctrace, Time Profiler, traces, hotspots.
How do I install native-app-performance?
Run npx skills add https://github.com/steipete/agent-scripts --skill native-app-performance in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/native-app-performance/ (personal) or .claude/skills/native-app-performance/ (project).
Which AI agents can use native-app-performance?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is native-app-performance safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains native-app-performance?
It is published by steipete in steipete/agent-scripts. It has 242 recorded installs.
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