swiftui-expert-skill

swiftui-expert-skill is a skill for Claude Code, Codex from patrickserrano/lacquer. It costs 98 tokens per session (2,811 once invoked), scanned A, original, MIT.

A broad guide for writing, reviewing, and refactoring SwiftUI code, including state management, view structure, performance, macOS APIs, and iOS 26 features.

In plain words
What is it for?
Use it when implementing or reviewing SwiftUI views, managing state, improving rendering, handling macOS differences, or analysing Instruments traces.
Why use it?
It provides a consistent way to check modern API usage, data flow, version compatibility, and common SwiftUI performance problems.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when implementing or reviewing SwiftUI views, managing state, improving rendering…

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Install with agentmods
npx agentmods add skills/patrickserrano/lacquer/swiftui-expert-skill
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add patrickserrano/lacquer --skill swiftui-expert-skill
Clone the repo
git clone --depth 1 https://github.com/patrickserrano/lacquer

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for swiftui-expert-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/patrickserrano/lacquer/swiftui-expert-skill.svg)](https://agentmods.dev/skills/patrickserrano/lacquer/swiftui-expert-skill)
Your own site
<a href="https://agentmods.dev/skills/patrickserrano/lacquer/swiftui-expert-skill"><img src="https://agentmods.dev/badge/skills/patrickserrano/lacquer/swiftui-expert-skill.svg" alt="Measured on agentmods" height="20"></a>
Per session 98 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,811 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00098 $0.02811
Opus 5 $0.00049 $0.01406
Sonnet 5 $0.00020 $0.00562
Haiku 4.5 $0.00010 $0.00281

Measured 3d ago against content hash c7d479c61309, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

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 3d ago.

The scan reads SKILL.md. This mod also ships 13 executable files (scripts/analyze_trace.py, scripts/instruments_parser/__init__.py, scripts/instruments_parser/causes.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

profiles/ios/skills/swiftui-expert-skill/SKILL.md · 159 lines

How it starts

The opening of the file, as written. The whole thing — 159 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.md at the start of every task to avoid deprecated APIs
  • Only adopt Liquid Glass when explicitly requested by the user (use the swiftui-liquid-glass skill)
  • Use #available gating with sensible fallbacks for version-specific APIs

SwiftUI Code 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 #available gating 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, see references/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 Button for all tappable elements; add accessibility grouping and labels
  • Gate version-specific APIs with #available and provide fallbacks

Instruments Trace Workflow

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.

  1. 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
    
  2. Pick a template based on target kind — the SwiftUI template 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: simulators kind → Time Profiler; devices kind (real devices and the host Mac) → default SwiftUI. Full decision table in references/trace-recording.md.
  3. 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:
    python3 "${SKILL_DIR}/scripts/record_trace.py" \
        --device "<name|udid>" --attach "<AppName>" \
        --stop-file /tmp/stop-trace --output ~/Desktop/session.trace
    
    For interactive sessions, just tell the user to press Ctrl+C when done.
  4. 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.
  5. Analyse the resulting trace (flow into the "Trace-driven improvement" workflow below).

Read the full file on GitHub · 159 lines

Files

What ships with it

34 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.

Changes

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.

  1. 3d ago First seen · 159 lines · 98 tokens per session scan A c7d479c61309

Subscribe to this mod's changes

swiftui-expert-skill is a skill published in the GitHub repository patrickserrano/lacquer (3 stars, last pushed today), licensed MIT. It adds 98 tokens to every session and 2,811 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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