swiftui-expert-skill
by AvdLeeswiftui-expert-skill is a practical SwiftUI skill for Frontend Development that helps write, review, and improve app UI code with better state management, view composition, accessibility, macOS-specific APIs, performance, and iOS 26+ Liquid Glass guidance. It also supports swiftui-expert-skill guide workflows for .trace analysis and recording when you need trace-based debugging, hangs, hitches, CPU hotspots, or SwiftUI update issues.
This skill scores 84/100, which makes it a solid directory listing for SwiftUI-focused agents. It has clear triggers, substantial workflow guidance, and supporting references/scripts that should help an agent act with less guesswork than a generic prompt, though users should still expect some judgment calls around broader app architecture and setup specifics.
- Strong triggerability: the skill explicitly covers SwiftUI code review, refactoring, modern SwiftUI patterns, and trace analysis/recording, including when a .trace file is referenced.
- Good operational depth: the repo includes a large SKILL.md plus 23 reference docs and 13 scripts, suggesting real workflow support rather than a thin prompt wrapper.
- Broad practical leverage: references span state management, layout, accessibility, charts, animations, macOS, performance, and latest APIs, giving agents concrete implementation guidance.
- No install command in SKILL.md, so users may need to determine setup/usage steps themselves before first use.
- The skill leans on many references and scripts; without reading the relevant sections, agents may still need some navigation effort to pick the right guidance for a given SwiftUI task.
Overview of swiftui-expert-skill skill
What swiftui-expert-skill does
swiftui-expert-skill is a practical SwiftUI assistance skill for writing, reviewing, and improving app UI code with a strong bias toward correctness, performance, and modern Apple APIs. It is especially useful when you need a structured swiftui-expert-skill guide for state management, view composition, accessibility, macOS-specific UI, or iOS 26+ Liquid Glass decisions.
Who should use it
Use this skill if you are working on Frontend Development in SwiftUI and want fewer guessy answers than a generic prompt. It fits engineers who need implementation help, code review help, or trace-based debugging rather than design brainstorming. It is also a good fit when you already have a view file or Instruments trace and want targeted recommendations.
When it is most valuable
The skill is strongest when the task has a concrete artifact: a SwiftUI file, a layout issue, a performance regression, or a .trace file. It can analyze hangs, hitches, CPU hotspots, and high-severity SwiftUI update problems, which makes the swiftui-expert-skill skill more decision-useful than broad “best practices” prompts.
How to Use swiftui-expert-skill skill
Install and activate it
Use the repo’s install flow for swiftui-expert-skill install:
npx skills add AvdLee/SwiftUI-Agent-Skill --skill swiftui-expert-skill
Once installed, invoke it by giving a task that clearly signals SwiftUI code work, code review, or trace analysis. If you are using the swiftui-expert-skill usage pattern in a chat prompt, include the platform, deployment target, and the file or trace you want analyzed.
Give the skill the right input
For code work, provide the smallest complete slice that still shows the problem: the view, any related state, and the expected behavior. For tracing, provide the .trace file and say whether you want analysis or to record a new session. Strong input example: “Review ProfileHeader.swift for unnecessary view invalidations on iOS 18; the avatar flickers when data refreshes.” Weak input example: “Improve this SwiftUI.”
Read these files first
Start with SKILL.md, then check references/latest-apis.md, references/state-management.md, references/view-structure.md, references/layout-best-practices.md, and references/performance-patterns.md. If your task involves motion, accessibility, macOS, or charts, open the matching reference file before editing. The scripts under scripts/ matter most when you are recording or analyzing traces.
Build better prompts
Convert a rough request into a task with constraints, target OS, and output shape. Example: “Refactor this list row for iOS 17+, keep behavior unchanged, avoid UIKit, and explain any #available fallback needed.” If you want the skill to diagnose, include symptoms, repro steps, and any code that might trigger state churn or layout thrash.
swiftui-expert-skill skill FAQ
Is swiftui-expert-skill only for advanced users?
No. It is useful for beginners who want a safer swiftui-expert-skill guide, but it works best when you can provide a concrete SwiftUI file or bug report. Beginners get the most value when they ask for review, cleanup, or an explanation of one specific screen rather than a full app rewrite.
How is it different from a normal prompt?
A normal prompt often produces generic SwiftUI advice. This skill is tuned to prefer current Apple APIs, trace-driven debugging, and practical review of real code. That means swiftui-expert-skill usage is less about inspiration and more about making a task actionable.
Does it require a trace file?
No. Source code alone is enough for most tasks. A trace file becomes important when you need to explain performance problems, hangs, or hitches, or when you want the skill to record a new session and analyze it afterward.
When should I not use it?
Do not use it if you only need a high-level UI concept, a platform-agnostic design discussion, or non-SwiftUI frontend guidance. It is also not the best choice if you want a rigid architecture prescription; the skill focuses on correctness and practical improvement, not forcing MVVM or any single pattern.
How to Improve swiftui-expert-skill skill
Share the context that changes the answer
The biggest quality jump comes from adding deployment target, platform, and the user-visible problem. “iOS 18, SwiftUI for iPhone, scrolling stutters when images load” is far better than “performance issue.” The swiftui-expert-skill skill can then weigh availability, API choice, and likely state causes correctly.
Point to the failure mode
Say what is wrong in observable terms: wrong focus behavior, excessive re-renders, animation that feels jumpy, accessibility labels that are unclear, or a macOS window that styles poorly. This helps the skill choose between layout, state, accessibility, or trace analysis instead of answering every angle at once.
Ask for the smallest safe change
If you want adoption-friendly output, ask for a minimal fix first, then a deeper refactor only if needed. Good improvement prompts mention constraints such as “keep public API stable,” “avoid UIKit bridge unless necessary,” or “preserve current animation timing.” That reduces accidental overengineering.
Iterate after the first answer
If the first response is close but incomplete, feed back the exact mismatch: “keep the same interaction but remove the flicker,” or “the code must still support iOS 16.” For trace work, ask for the next level of detail: first the likely bottleneck, then the specific view or state pattern causing it.