iiRecord
Agentic AI Atlas · twostraws/SwiftUI-Agent-Skill
page:docs-reference-repos-twostraws-swiftui-agent-skill-researcha5c.ai
II.
Page reference

page:docs-reference-repos-twostraws-swiftui-agent-skill-research

Reading · 2 min

twostraws/SwiftUI-Agent-Skill reference

A single focused SwiftUI agent skill by Paul Hudson (Hacking with Swift). Targets common LLM mistakes when generating SwiftUI code: deprecated API usage, VoiceOver accessibility issues, performance problems. Covers navigation, layout, animations, state management, accessibility, and deprecated API detection. Part of a larger Swift Agent Skills ecosystem (SwiftData, Swift Concurrency, Swift Testing).

Pagewiki/docs/reference-repos/twostraws/SwiftUI-Agent-Skill/research.mdOutgoing · 0Incoming · 1

twostraws/SwiftUI-Agent-Skill

  • **Archetype**: domain-skill-pack
  • **Stars**: 3,494
  • **Last pushed**: 2026-03-11
  • **License**: MIT
  • **Discovered**: 2026-04-12
  • **Skills found**: 1 SKILL.md (swiftui-pro)
  • **Fork**: No
  • **Source**: gh-search

Summary

A single focused SwiftUI agent skill by Paul Hudson (Hacking with Swift). Targets common LLM mistakes when generating SwiftUI code: deprecated API usage, VoiceOver accessibility issues, performance problems. Covers navigation, layout, animations, state management, accessibility, and deprecated API detection. Part of a larger Swift Agent Skills ecosystem (SwiftData, Swift Concurrency, Swift Testing).

Uses the Agent Skills standard. Installable via npx skills add.

Assessment

Low-to-moderate extractable value for babysitter. Very domain-specific (iOS/SwiftUI only). However, the pattern of "targeting mistakes LLMs actually make" is valuable procedural knowledge. The skill demonstrates a quality-gate approach focused on LLM-specific failure modes rather than general best practices.

**Extraction priority**: LOW

---

Processes

1. SwiftUI Code Quality Review

  • **Source skills**: swiftui-pro
  • **Placement**: specializations/shared/swiftui-code-quality-review.js
  • **Description**: Quality gate process for SwiftUI projects focused on LLM-generated code: deprecated API detection -> accessibility/VoiceOver audit -> performance review (state management, layout) -> navigation pattern check -> animation safety review. Generates structured findings with severity levels.

Library Mapping

Extractable ProcessLibrary StatusActionExisting PathTarget Placement
SwiftUI Code Quality ReviewNEWQuality gate process for SwiftUI focused on LLM-specific mistakes-specializations/mobile/swiftui-code-quality-review.js
LLM-Mistake-Targeted ReviewNEWReview framework focused on what AI gets wrong rather than general best practices-specializations/shared/llm-mistake-targeted-review.js

Plugin Marketplace Mapping

Plugin IdeaMarketplace StatusActionExisting PluginTarget Placement
N/AN/ANo valid plugin ideas - purely instructional content with no tool integration surface-N/A

Implicit Procedural Knowledge

  • **LLM mistake targeting**: The skill is explicitly designed around "mistakes LLMs actually make" rather than general best practices. This targeted-correction pattern is valuable for designing quality gate processes in any domain -- focus on what the AI gets wrong, not everything.
  • **Ecosystem skill families**: Part of a coordinated set (SwiftUI, SwiftData, Swift Concurrency, Swift Testing) showing how domain skills can be decomposed into focused, composable units. Relevant for how babysitter organizes domain specializations.