Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· Developer Tools
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.
skill openclawclawhub Free
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.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/extract_time_samples.py, scripts/record_time_profiler.sh, scripts/top_hotspots.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- steipete
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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 youβre 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.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Scripts1 Docs
- SKILL.md
- scripts/extract_time_samples.py
- scripts/record_time_profiler.sh
- scripts/top_hotspots.py