native-app-profiling SKILL.md skillA

native-app-profiling from patrickserrano/lacquer is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add patrickserrano/lacquer/native-app-profiling@git:20260713.c1007fc

Pins git:20260713.c1007fc in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
patrickserrano/lacquer
Path
profiles/ios/skills/native-app-profiling/SKILL.md
Versions recorded
4
Latest version
git:20260713.c1007fc, committed Jul 13, 2026
First version recorded
Jul 11, 2026
Size
3,333 bytes
Repository stars
5
License
MIT

Profile native macOS/iOS apps for CPU hotspots, hangs, and hitches using Instruments traces. Use when asked to identify performance hotspots, profile CPU usage, or diagnose slow code paths without opening Instruments.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Native App Performance Profiling

**This is a redirect skill.** This lacquer's Instruments trace recording and analysis workflow lives in `swiftui-expert-skill` — see its "Record a new Instruments trace" and "Trace-driven improvement" task-workflow sections, backed by `scripts/record_trace.py` and `scripts/analyze_trace.py` and documented in full in `references/trace-recording.md` and `references/trace-analysis.md`. That workflow already covers everything this skill used to teach manually: template selection by device kind, attach/launch/stop-file recording modes, and analysis with automatic symbolication, window scoping, main-thread coverage (`main_running_coverage_pct`), and SwiftUI cause-graph fan-in (`--fanin-for`).

Do not use raw `xcrun xctrace`, `atos`, `vmmap`, or `pgrep` for this. FlowDeck's ban on raw Apple CLI tools (`xcodebuild`, `xcrun`, `simctl`, `devicectl`) extends to Instruments tooling in this lacquer for the same reason — `record_trace.py`/`analyze_trace.py` wrap `xctrace` and handle symbolication automatically, so the manual `atos`/`vmmap` load-address dance this skill used to document is no longer part of the workflow.

## When this applies
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add patrickserrano/lacquer/native-app-profiling@sha256:eb35e3a90f86c2d5

The line at the top of this page pins the label git:20260713.c1007fc, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_rvugob5sbh4zkakm.svg)](https://markdownregistry.com/a/art_rvugob5sbh4zkakm)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Jul 11, 2026 and Jul 13, 2026, more than one a day.

versioncommittedcommitsizeaudit
git:20260713.c1007fc latest2026-07-13 c1007fc 3,333 BA view · diff
git:20260713.e2da48a2026-07-13 e2da48a 3,417 BA view · diff
git:20260713.49503952026-07-13 4950395 3,412 BA view · diff
git:20260711.6fdd2302026-07-11 6fdd230 3,333 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3333 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

patrickserrano/lacquer · 5 stars · license MIT · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_rvugob5sbh4zkakm
GET https://markdownregistry.com/api/v1/resolve?ref=patrickserrano/lacquer/native-app-profiling
GET https://markdownregistry.com/api/v1/blob/eb35e3a90f86c2d5ab1ad27d38729c78d99b24d590d2d0e0355e210717f28fde

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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