nucleus-apple-mcp: Skill for Claude Code

.agents/skills/swiftui-expert-skill/SKILL.md

swiftui-expert-skill is a skill for Claude Code, Codex from zish-rob-crur/nucleus-apple-mcp. It costs 164 tokens per session (2,723 once invoked), scanned A, a copy of swiftui-expert-skill, MIT.

A specialist guide for building and reviewing SwiftUI interfaces, Apple’s framework for creating app screens in Swift.

In plain words
What is it for?
Creating features, refactoring views, improving state management and performance, checking deprecated APIs, and handling macOS or iOS-specific behavior.
Why use it?
It helps keep SwiftUI code current, maintainable, responsive, and compatible with supported Apple platforms.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is zish-rob-crur/nucleus-apple-mcp's own configuration. It tells Claude Code and Codex how to work on nucleus-apple-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything nucleus-apple-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to zish-rob-crur/nucleus-apple-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/zish-rob-crur/nucleus-apple-mcp/main/.agents/skills/swiftui-expert-skill/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/zish-rob-crur/nucleus-apple-mcp

Made for: Claude Code, Codex.

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README.md
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Per session 164 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,723 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 98% copy Near-identical to another mod 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 $0.00164 $0.02723
Opus 5 $0.00082 $0.01362
Sonnet 5 $0.00033 $0.00545
Haiku 4.5 $0.00016 $0.00272

Measured 12d ago against content hash 94c3c375764d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, 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 12d 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.

Origin

This is a copy

98% identical to swiftui-expert-skill — 20 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.

.agents/skills/swiftui-expert-skill/SKILL.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 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
  • 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 #available gating 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 #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

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 · 162 lines

Files

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.

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. 12d ago First seen · 162 lines · 164 tokens per session scan A 94c3c375764d

Subscribe to this mod's changes

swiftui-expert-skill is a skill published in the GitHub repository zish-rob-crur/nucleus-apple-mcp (20 stars, last pushed 7d ago), licensed MIT. It adds 164 tokens to every session and 2,723 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to swiftui-expert-skill, differing in 20 lines, and is treated as a copy.

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