swiftui-expert-skill – Coding skill for AI agents
Write, review, and refactor SwiftUI for iOS or macOS, covering data flow, view composition, performance, identity, environment, localization, animation, API migration, and Instruments traces.
Install the swiftui-expert-skill skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/swiftui-expert-skill-31843.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /swiftui-expert-skill – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/swiftui-expert-skill-31843.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $swiftui-expert-skill – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/swiftui-expert-skill-31843.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /swiftui-expert-skill – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/swiftui-expert-skill-31843.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /swiftui-expert-skill – then describe the task you want done.
SKILL.md content
SwiftUI Expert Skill
When to Use
Use when writing, reviewing, or refactoring SwiftUI code for iOS or macOS, including state management and @Observable data flow, view composition and invalidation/performance, lists and ForEach identity, environment usage, localization, animations, Liquid Glass adoption, API migrations and analysis of explicitly selected Instruments traces.
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.
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 supported template for the target and installed Xcode. List devices/templates, then verify the recorded schemas rather than inferring lane availability from device kind. SwiftUI lanes may be absent on Simulator configurations; use Time Profiler or another supported configuration when appropriate. Missing lanes remain unknown/unavailable. Full guidance: 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 "${SKILL_DIR}/scripts/record_trace.py" \
--device "<name|udid>" --attach "<AppName>" \
--stop-file "$TRACE_RUN_DIR/stop" --output ~/Desktop/session.trace
Create TRACE_RUN_DIR with mktemp -d before the background example and retain its exact private path for the stop call. 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 "$TRACE_RUN_DIR/stop". The script cleanly SIGINTs xctrace and waits up to 60s for finalisation.
5. Analyse the resulting trace (flow into the "Trace-driven improvement" workflow below).
Trace-driven improvement (Instruments .trace provided)
Trigger whenever the user's request references a .trace file. A target SwiftUI source file is optional — if given, cite specific lines; if not, recommend where to look based on view names and symbols the trace already reveals.
Full reference: references/trace-analysis.md. Summary of the composition pattern:
1. Scope the analysis. Ask yourself: does the user want the whole trace, or a slice?
- "focus on X / after X / between X and Y / during X" → resolve to a window first (see step 2).
- No scoping cue → analyse the whole trace.
2. Resolve a window (only if the user scoped). The parser exposes two discovery modes:
# Find a log that marks the start/end of the region of interest:
python3 "${SKILL_DIR}/scripts/analyze_trace.py" --trace <path> \
--list-logs --log-message-contains "loaded feed" --log-limit 5
# Or list os_signpost intervals (paired begin/end), filterable by name:
python3 "${SKILL_DIR}/scripts/analyze_trace.py" --trace <path> \
--list-signposts --signpost-name-contains "ImageDecode"
Both modes accept --window START_MS:END_MS to scope discovery. Pick the time_ms (for logs) or start_ms/end_ms (for signposts) that match the user's description. Build a window like --window 10400:11700.
3. Run the main analysis (with or without --window):
python3 "${SKILL_DIR}/scripts/analyze_trace.py" --trace <path> \
--json-only --top 10 [--window START_MS:END_MS]
4. Interpret with references/trace-analysis.md — key diagnostics:
main_running_coverage_pctis a sampling heuristic assuming 1ms samples; low or high coverage alone does not prove blocking or CPU saturation.swiftui-causes.top_sourcesreveals *why* updates keep happening — high-edge-count sources likeUserDefaultObserver.send()or wideEnvironmentWriterentries are investigation candidates, not proof of a bug or feedback loop. Confirm repeated writes and causality in the app before changing architecture.
5. When a specific view shows as expensive, ask who's invalidating it. Use --fanin-for "<view name>" to get the ranked list of source nodes driving the updates.
6. Optionally ground in source. If the user pointed at a file, read it and match view names / user-code symbols against identifiers there. If not, recommend which files to open based on the view names SwiftUI reported.
7. Return a prioritised plan. Cite evidence (coverage %, hot symbol, overlapping view, log timestamp, cause-graph edges) and route each recommendation to a Topic Router reference.
8. Only edit code if the user asked for edits.
Topic Router
Consult the reference file for each topic relevant to the current task:
| Topic | Reference |
|-------|-----------|
| State management | references/state-management.md |
| View composition | references/view-structure.md |
| Performance | references/performance-patterns.md |
| Lists and ForEach | references/list-patterns.md |
| Layout | references/layout-best-practices.md |
| Sheets and navigation | references/sheet-navigation-patterns.md |
| ScrollView | references/scroll-patterns.md |
| Focus management | references/focus-patterns.md |
| Animations (basics) | references/animation-basics.md |
| Animations (transitions) | references/animation-transitions.md |
| Animations (advanced) | references/animation-advanced.md |
| Accessibility | references/accessibility-patterns.md |
| Swift Charts | references/charts.md |
| Charts accessibility | references/charts-accessibility.md |
| Image optimization | references/image-optimization.md |
| Liquid Glass (iOS 26+) | references/liquid-glass.md |
| macOS scenes | references/macos-scenes.md |
| macOS window styling | references/macos-window-styling.md |
| macOS views | references/macos-views.md |
| Text patterns | references/text-patterns.md |
| Localization | references/localization.md |
| Deprecated API lookup | references/latest-apis.md |
| Handling soft-deprecated APIs | references/soft-deprecation.md |
| Previews | references/previews.md |
| Instruments trace analysis | references/trace-analysis.md |
| Instruments trace recording | references/trace-recording.md |
Correctness Checklist
These are review prompts. Distinguish correctness defects from measured performance risks and team preferences; context can justify exceptions:
- [ ]
@Stateproperties areprivate - [ ]
@Bindingonly where a child modifies parent state - [ ] Read-through inputs are not stored as
@Stateor@StateObject; explicit owned drafts may legitimately initialize from a passed value - [ ]
@StateObjectfor view-owned objects;@ObservedObjectfor injected - [ ] iOS 17+:
@Statewith@Observable;@Bindablefor injected observables needing bindings - [ ]
ForEachuses identity appropriate to the collection; avoid positional IDs for insertable/reorderable model items - [ ] Constant number of views per
ForEachelement;Listrows are unary - [ ] Review frequently recreated environment action closures for unnecessary inval
… (full content is in the download package)
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