Borrowing it
Nothing to install: this file belongs to omarshahine/apple-pim. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/omarshahine/apple-pim/main/.claude/skills/swiftui-expert-skill/SKILL.mdgit clone --depth 1 https://github.com/omarshahine/apple-pimWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/omarshahine/apple-pim/swiftui-expert-skill)<a href="https://agentmods.dev/skills/omarshahine/apple-pim/swiftui-expert-skill"><img src="https://agentmods.dev/badge/skills/omarshahine/apple-pim/swiftui-expert-skill/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/omarshahine/apple-pim/swiftui-expert-skill"><img src="https://agentmods.dev/badge/skills/omarshahine/apple-pim/swiftui-expert-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00061 | $0.02622 |
| Opus 5 | $0.00030 | $0.01311 |
| Sonnet 5 | $0.00012 | $0.00524 |
| Haiku 4.5 | $0.00006 | $0.00262 |
Grade A, and why
swiftui-expert-skill scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
97% identical to swiftui-expert-skill — 19 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SwiftUI Expert Skill
Operating Rules
- Consult
references/latest-apis.mdat the start of every task to avoid deprecated APIs - Prefer native SwiftUI APIs over UIKit/AppKit bridging unless bridging is necessary
- Focus on correctness and performance; do not enforce specific architectures (MVVM, VIPER, etc.)
- Encourage separating business logic from views for testability without mandating how
- Follow Apple's Human Interface Guidelines and API design patterns
- Only adopt Liquid Glass when explicitly requested by the user (see
references/liquid-glass.md) - Present performance optimizations as suggestions, not requirements
- Use
#availablegating with sensible fallbacks for version-specific APIs
Task Workflow
Review existing SwiftUI code
- Read the code under review and identify which topics apply
- Flag deprecated APIs (compare against
references/latest-apis.md) - Run the Topic Router below for each relevant topic
- Validate
#availablegating and fallback paths for iOS 26+ features
Improve existing SwiftUI code
- Audit current implementation against the Topic Router topics
- Replace deprecated APIs with modern equivalents from
references/latest-apis.md - Refactor hot paths to reduce unnecessary state updates
- Extract complex view bodies into separate subviews
- Suggest image downsampling when
UIImage(data:)is encountered (optional optimization, seereferences/image-optimization.md)
Implement new SwiftUI feature
- Design data flow first: identify owned vs injected state
- Structure views for optimal diffing (extract subviews early)
- Apply correct animation patterns (implicit vs explicit, transitions)
- Use
Buttonfor all tappable elements; add accessibility grouping and labels - Gate version-specific APIs with
#availableand provide fallbacks
Record a new Instruments trace
Trigger when the user asks to "record a trace", "profile the app", "capture a session", etc. Full reference: references/trace-recording.md.
- Confirm target — attach to a running app, launch an app, or record all processes? If the user didn't say, ask. List connected devices when useful:
python3 "${SKILL_DIR}/scripts/record_trace.py" --list-devices - Pick a template based on target kind — the
SwiftUItemplate populates the SwiftUI lane on any real device: a physical iOS/iPadOS device or the host Mac. The only exception is the iOS Simulator, where the SwiftUI lane comes back empty — switch to--template "Time Profiler"in that case (still gives Time Profiler + Hangs + Animation Hitches). Always check--list-devices:simulatorskind →Time Profiler;deviceskind (real devices and the host Mac) → defaultSwiftUI. Full decision table inreferences/trace-recording.md. - Start the recording. For agent-driven sessions where the user says "I'll tell you when I'm done", start in the background and use a stop-file:
For interactive sessions, just tell the user to press Ctrl+C when done.python3 "${SKILL_DIR}/scripts/record_trace.py" \ --device "<name|udid>" --attach "<AppName>" \ --stop-file /tmp/stop-trace --output ~/Desktop/session.trace - Signal stop — when the user says they've finished exercising the app,
touch /tmp/stop-trace. The script cleanly SIGINTs xctrace and waits up to 60s for finalisation. - Analyse the resulting trace (flow into the "Trace-driven improvement" workflow below).
What ships with it
36 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/accessibility-patterns.md 5.9 KB
- references/animation-advanced.md 10 KB
- references/animation-basics.md 6.7 KB
- references/animation-transitions.md 7.4 KB
- references/charts-accessibility.md 6.1 KB
- references/charts.md 17 KB
- references/focus-patterns.md 8.7 KB
- references/image-optimization.md 7.2 KB
- references/latest-apis.md 16 KB
- references/layout-best-practices.md 6.8 KB
- references/liquid-glass.md 11 KB
- references/list-patterns.md 12 KB
- references/macos-scenes.md 9.1 KB
- references/macos-views.md 11 KB
- references/macos-window-styling.md 8.6 KB
- references/performance-patterns.md 12 KB
- references/scroll-patterns.md 8.3 KB
- references/sheet-navigation-patterns.md 11 KB
- references/state-management.md 13 KB
- references/text-patterns.md 1.1 KB
- references/trace-analysis.md 14 KB
- references/trace-recording.md 4.8 KB
- references/view-structure.md 24 KB
- scripts/analyze_trace.py 9.9 KB runs code
- scripts/instruments_parser/__init__.py 69 B runs code
- scripts/instruments_parser/causes.py 5.9 KB runs code
- scripts/instruments_parser/correlate.py 6.2 KB runs code
- scripts/instruments_parser/events.py 11 KB runs code
- scripts/instruments_parser/hangs.py 3.4 KB runs code
- scripts/instruments_parser/hitches.py 4.5 KB runs code
- scripts/instruments_parser/summary.py 9.1 KB runs code
- scripts/instruments_parser/swiftui.py 6.6 KB runs code
- scripts/instruments_parser/time_profiler.py 4.3 KB runs code
- scripts/instruments_parser/xctrace.py 3.5 KB runs code
- scripts/instruments_parser/xml_utils.py 7.4 KB runs code
- scripts/record_trace.py 9.3 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 163 lines · 61 tokens per session scan A 6621224bf68b
swiftui-expert-skill is a skill published in the GitHub repository omarshahine/apple-pim (54 stars, last pushed 3d ago), licensed MIT. It adds 61 tokens to every session and 2,622 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to swiftui-expert-skill, differing in 19 lines, and is treated as a copy.
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