Agent skill

Native App Profiling

Profile native macOS/iOS apps using Time Profiler via CLI (xctrace).

MITAuto-check passedDevelopment

Install Native App Profiling

skills CLI

$ npx skills add termio-sh/termio --skill native-app-profiling -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install termio-sh/termio native-app-profiling --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/termio-sh/termio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/native-app-profiling .claude/skills/native-app-profiling && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "native-app-profiling" agent skill from https://github.com/termio-sh/termio/tree/main/skills/native-app-profiling into .claude/skills/native-app-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "native-app-profiling", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/termio-sh/termio/tree/main/skills/native-app-profiling

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add termio-sh/termio --skill native-app-profiling -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install termio-sh/termio native-app-profiling --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/termio-sh/termio.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/native-app-profiling .agents/skills/native-app-profiling && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "native-app-profiling" agent skill from https://github.com/termio-sh/termio/tree/main/skills/native-app-profiling into .agents/skills/native-app-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "native-app-profiling", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add termio-sh/termio --skill native-app-profiling -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install termio-sh/termio native-app-profiling --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/termio-sh/termio.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/native-app-profiling .cursor/skills/native-app-profiling && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "native-app-profiling" agent skill from https://github.com/termio-sh/termio/tree/main/skills/native-app-profiling into .cursor/skills/native-app-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "native-app-profiling", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/termio-sh/termio.git --path skills/native-app-profiling

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add termio-sh/termio --skill native-app-profiling -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install termio-sh/termio native-app-profiling --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/termio-sh/termio.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/native-app-profiling .gemini/skills/native-app-profiling && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "native-app-profiling" agent skill from https://github.com/termio-sh/termio/tree/main/skills/native-app-profiling into .gemini/skills/native-app-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "native-app-profiling", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install termio-sh/termio native-app-profiling

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add termio-sh/termio --skill native-app-profiling -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/termio-sh/termio.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/native-app-profiling .github/skills/native-app-profiling && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "native-app-profiling" agent skill from https://github.com/termio-sh/termio/tree/main/skills/native-app-profiling into .github/skills/native-app-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "native-app-profiling", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add termio-sh/termio --skill native-app-profiling -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install termio-sh/termio native-app-profiling --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/termio-sh/termio.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/native-app-profiling .opencode/skills/native-app-profiling && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "native-app-profiling" agent skill from https://github.com/termio-sh/termio/tree/main/skills/native-app-profiling into .opencode/skills/native-app-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "native-app-profiling", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: native-app-profiling
GitHub stars: 540
Token cost: ~1.1k tokens
SKILL.md length: 345 words
Files: 1
Skills in repo: 19
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Profile native macOS/iOS apps using Time Profiler via CLI (xctrace).

Works in 4 steps: Record Time Profiler → Export Time Samples → Get Load Address for Symbolication → …
Asked to identify performance hotspots
SKILL.md covers Overview, Quick Start, Workflow Notes and Available Templates, plus 6 more sections
Calls xcrun

What it does

Native App Profiling is an agent skill from termio-sh/termio. Profile native macOS/iOS apps using Time Profiler via CLI (xctrace). Use when asked to identify performance hotspots, profile CPU usage, or diagnose slow code paths without opening Instruments.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Performance optimization and iOS development. It works with macOS. The repository describes itself as: A terminal-first agentic development environment for agentic coding. Build for CLI/TUI agent. Runtime for Coding Agent, Tmux alternative. The licence is MIT.

When your agent uses it

Asked to identify performance hotspots
Profile CPU usage
Diagnose slow code paths without opening Instruments

Example prompts

“/native-app-profiling”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

Record Time Profiler
Export Time Samples
Get Load Address for Symbolication
Symbolicate Stack Frames

What it can do on your machine

Read from SKILL.md and the folder at commit af3b35b. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- xcrun
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Native App Profiling loads about 1.1k tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 345 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~54
When it runs · the whole SKILL.md, loaded when a task matches: ~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from termio-sh/termio at commit af3b35b, republished under its MIT licence (© termio-sh). 345 words, ~1,145 tokens.

Download SKILL.mdSave it as .claude/skills/native-app-profiling/SKILL.md (or your agent's skills folder).

name: native-app-profiling
description: Profile native macOS/iOS apps using Time Profiler via CLI (xctrace). Use when asked to identify performance hotspots, profile CPU usage, or diagnose slow code paths without opening Instruments.

Native App Performance Profiling (CLI)

Overview

Record Time Profiler via xctrace, extract samples, symbolicate, and identify hotspots without opening Instruments.

Quick Start

1) Record Time Profiler

Attach to running process:

bash

# Get the PID first
pgrep -x "AppName"

# Record for 90 seconds
xcrun xctrace record \
    --template 'Time Profiler' \
    --time-limit 90s \
    --output /tmp/App.trace \
    --attach <pid>

Launch and record:

bash

xcrun xctrace record \
    --template 'Time Profiler' \
    --time-limit 90s \
    --output /tmp/App.trace \
    --launch -- /path/to/App.app/Contents/MacOS/App

2) Export Time Samples

List available schemas in the trace:

bash

xcrun xctrace export --input /tmp/App.trace --toc

Export time profile data:

bash

xcrun xctrace export \
    --input /tmp/App.trace \
    --xpath '/trace-toc/run/data/table[@schema="time-profile"]' \
    --output /tmp/time-profile.xml

3) Get Load Address for Symbolication

While the app is running, get the __TEXT segment load address:

bash

vmmap <pid> | grep "__TEXT"

Look for the load address (typically starts with 0x1...).

4) Symbolicate Stack Frames

Use atos to symbolicate addresses:

bash

atos -o /path/to/App.app/Contents/MacOS/App -l 0x100000000 <address>

Workflow Notes

Correct binary: Confirm you're profiling the right build (local vs /Applications)
Trigger the slow path: During capture, perform the action that's slow
Capture duration: If stacks are empty, capture longer or avoid idle time
Symbol matching: Binary symbols must match the trace (same build)

Available Templates

List all profiling templates:

bash

xcrun xctrace list templates

Common templates:

Time Profiler - CPU sampling
Allocations - Memory allocations
Leaks - Memory leak detection
System Trace - System-level activity
Animation Hitches - UI performance

Common Commands

Task	Command
List templates	`xcrun xctrace list templates`
List devices	`xcrun xctrace list devices`
Record help	`xcrun xctrace help record`
Export help	`xcrun xctrace help export`
Get PID	`pgrep -x "AppName"`
Get load address	`vmmap <pid> \| grep __TEXT`
Symbolicate	`atos -o <binary> -l <load-addr> <address>`

Analyzing Results

Manual Analysis

Export the trace to XML
Parse the call tree data
Look for frames with high sample counts
Focus on your app's code (filter out system frameworks)

Identify Hotspots

Look for:

Functions with high self-time (time spent in function itself)
Deep call stacks indicating inefficient algorithms
Repeated patterns suggesting optimization opportunities

Gotchas

ASLR: Runtime __TEXT load address changes each launch - get it from vmmap
Build mismatch: Symbols must match the exact build that was profiled
Idle time: Profiling idle app produces empty/useless data
Permissions: May need to run with sudo for some operations

iOS Profiling

For iOS apps on simulator:

bash

xcrun xctrace record \
    --template 'Time Profiler' \
    --device <simulator-udid> \
    --time-limit 60s \
    --output /tmp/iOS-App.trace \
    --launch -- <bundle-id>

Get simulator UDID:

bash

xcrun simctl list devices | grep Booted

Automation Script

Basic recording script:

bash

#!/bin/bash
set -e

APP_NAME="$1"
DURATION="${2:-60}"
OUTPUT="${3:-/tmp/$APP_NAME.trace}"

if [ -z "$APP_NAME" ]; then
    echo "Usage: $0 <app-name> [duration-seconds] [output-path]"
    exit 1
fi

PID=$(pgrep -x "$APP_NAME" || true)

if [ -n "$PID" ]; then
    echo "Attaching to running $APP_NAME (PID: $PID)"
    xcrun xctrace record \
        --template 'Time Profiler' \
        --time-limit "${DURATION}s" \
        --output "$OUTPUT" \
        --attach "$PID"
else
    echo "App not running. Please start $APP_NAME first."
    exit 1
fi

echo "Trace saved to: $OUTPUT"
echo "To analyze: xcrun xctrace export --input $OUTPUT --toc"

Checklist

Correct binary path identified
App running or launch command ready
Slow path reproducible
Trace recorded during problematic behavior
Load address captured for symbolication
Results analyzed for hotspots

Files

Just SKILL.md in skills/native-app-profiling of termio-sh/termio.

Open the folder on GitHubat commit af3b35b

Compare with similar skills

Native App Profiling next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Native App Profiling compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Native App Profiling this skilltermio-sh/termio	540	—	~1.1k	Automated safety check: Pass	MIT	yesterday
Native App Performanceharperreed/dotfiles	334	4 repos	~538	Automated safety check: Pass	None	5 days ago
Swiftdata ArchitectureKartikLabhshetwar/better-shot	2.4k	2 repos	~1.2k	Automated safety check: Pass	Custom licence	7 days ago
Core Data ExpertAvdLee/Core-Data-Agent-Skill	314	—	~1.2k	Automated safety check: Pass	MIT	24 days ago
Performance Profilingconorluddy/xclaude-plugin	183	—	~7.3k	Automated safety check: Pass	MIT	26 days ago
Hopper Debuggersteipete/agent-scripts	7.3k	—	~1.6k	Automated safety check: Pass	MIT	3 days ago

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Questions about Native App Profiling

What does Native App Profiling do?

Profile native macOS/iOS apps using Time Profiler via CLI (xctrace). Native App Profiling is an agent skill from termio-sh/termio. Profile native macOS/iOS apps using Time Profiler via CLI (xctrace).

When should I use Native App Profiling?

Native App Profiling fits situations like: asked to identify performance hotspots; profile CPU usage; diagnose slow code paths without opening Instruments.

How do I install Native App Profiling in Claude Code?

Run `npx skills add termio-sh/termio --skill native-app-profiling -a claude-code`. Or copy the skill folder (skills/native-app-profiling in termio-sh/termio) into .claude/skills/native-app-profiling in your project. Claude Code loads it when a task matches its description.

How do I install Native App Profiling in Codex?

Run `npx skills add termio-sh/termio --skill native-app-profiling -a codex`. Or copy the skill folder (skills/native-app-profiling in termio-sh/termio) into .agents/skills/native-app-profiling in your project. Codex loads it when a task matches its description.

Can I use Native App Profiling in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add termio-sh/termio --skill native-app-profiling -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/native-app-profiling, .gemini/skills/native-app-profiling, .github/skills/native-app-profiling and .opencode/skills/native-app-profiling in your project.

What does Native App Profiling need to run?

Going by SKILL.md and its folder, Native App Profiling needs the command-line tools its instructions call (xcrun).

Does Native App Profiling access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Native App Profiling safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Native App Profiling use?

Native App Profiling is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Native App Profiling use?

About 1.1k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Native App Profiling?

Skills that share tags, products or a category with Native App Profiling: Native App Performance (harperreed/dotfiles, 334 stars), Swiftdata Architecture (KartikLabhshetwar/better-shot, 2.4k stars), Core Data Expert (AvdLee/Core-Data-Agent-Skill, 314 stars) and Performance Profiling (conorluddy/xclaude-plugin, 183 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Native App Profiling?

termio-sh (a GitHub organization) maintains it in termio-sh/termio, which has 540 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on October 7, 2026.

Source: termio-sh/termio on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Native App Profiling

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Native App Performance Profiling (CLI)

Overview

Quick Start

1) Record Time Profiler

2) Export Time Samples

3) Get Load Address for Symbolication

4) Symbolicate Stack Frames

Workflow Notes

Available Templates

Common Commands

Analyzing Results

Manual Analysis

Identify Hotspots

Gotchas

iOS Profiling

Automation Script

Checklist

Files

Compare with similar skills

Similar skills

More from termio-sh/termio

Related

Questions about Native App Profiling