SwiftUI agent skill for Claude Code, Codex, and other AI tools.
4.3k
Stars
151
Forks
11
Open issues
3
Contributors
AI Analysis
This is an agent skill for AI coding assistants (Claude Code, Codex, Gemini, Cursor) that provides specialized guidance on writing idiomatic, performant SwiftUI code. It targets the specific mistakes LLMs make when generating SwiftUI, covering navigation, layout, animations, state management, accessibility, and deprecated APIs. This tool is specialized for Swift/Apple platform developers who use AI assistants for code generation and want higher-quality SwiftUI output.
Inferred from signals mentioned in the README (tests, CI, type safety) — not a review of the actual code.
AI's overall editorial judgment — not an average of the bars above, can weigh other factors too.
SwiftUI prompt engineering skill for AI coding assistants targeting LLM-specific mistakes
SwiftUI Agent Skill is a knowledge base formatted as an executable skill for AI coding assistants (Claude Code, Codex, Gemini, Cursor). It encodes domain expertise about common SwiftUI mistakes LLMs make—deprecated APIs, accessibility oversights, performance antipatterns—and is installable via a standardized agent skills format. Creator is Paul Hudson (Hacking with Swift). Real-world adoption unclear; appears primarily used by developers integrating AI coding assistants into their SwiftUI workflows.
Launched March 2026 by Paul Hudson. Built on his existing AGENTS.md knowledge base and follows the Agent Skills open format. Part of a family of Swift-specific skills (SwiftData, Concurrency, Testing) released concurrently. Addresses an emerging need: LLM-assisted development for iOS/macOS requires guardrails specific to the domain.
Gained ~89 stars in last 7 days (from ~4,141 baseline) and 149 forks since launch in March 2026. Growth appears correlated with adoption of AI-assisted coding tools (Claude Code, Codex) among iOS developers. Velocity is moderate but consistent for a niche vertical tool. Similar repos (AvdLee/SwiftUI-Agent-Skill, conorluddy/ios-simulator-skill) show comparable star counts, suggesting a small but engaged ecosystem of agent-skill consumers.
Adoption not verified. No explicit case studies, user testimonials, or deployment counts mentioned. GitHub activity (stars, forks, limited time window) is weak proxy. Project is too new (March 2026) to show multi-year production signals. Inferred use: individual developers using Claude Code or Codex to write SwiftUI, but scale and actual impact unmeasured.
Based on README, this is primarily a structured knowledge base in Agent Skills format rather than traditional executable code. Likely contains rule definitions, API guidance, and decision trees for LLM prompting. The actual .md files and configuration are not inspectable from metadata alone. Appears to be installable via npx and integrable into Claude/Codex/Gemini/Cursor environments.
Not documented in README. As a knowledge-base skill, traditional unit tests may not apply; quality assurance likely relies on validation by users and maintainer review of contributions.
Last push 2026-04-20 (70 days before current date 2026-06-30). Project is ~3.5 months old. Recent activity suggests active maintenance rather than abandonment, but the interval since last push indicates either stable/complete state or reduced focus. README is detailed and professional; MIT license and explicit contribution guidelines present. Maintainer (Paul Hudson) has established reputation in Swift community, suggesting likely continued stewardship.
ADOPT IF: you use Claude Code, Codex, Gemini, or Cursor for SwiftUI development and want LLM guardrails for common SwiftUI mistakes (deprecated APIs, accessibility, performance). The skill is free, maintained, and authored by a credible community figure. Installation is straightforward. AVOID IF: you are not actively using AI coding assistants or do not develop in SwiftUI; the skill is specifically designed for LLM-assisted workflows and has no value in manual coding. Also avoid if you require extensive production validation or multi-year stability signals before adoption. MONITOR IF: you are considering agent-skills architecture for other domains; this project is early but represents a working reference implementation for domain-specific LLM guidance.
Independent dimensions
Mainstream potential
3/10
Technical importance
6/10
Adoption evidence
2/10
- Adoption unverified at scale. Star count may reflect curiosity rather than active use in production workflows.
- Project is only ~3.5 months old (created March 2026). Stability of the underlying Agent Skills format and integrations (Claude Code, Codex, Gemini, Cursor) is not yet battle-tested at scale.
- Depends on rapid evolution of AI coding assistant APIs and formats. Changes to Claude Code or Codex skill syntax could break installation or functionality.
- Knowledge base may become stale if SwiftUI, Xcode, or Swift language evolve faster than maintainer can update; requires active curation to retain value.
- Bus factor: Primary author is Paul Hudson. No evidence of distributed maintainer team; succession planning or governance model not documented.
Likely to remain a niche but stable resource for SwiftUI developers using AI coding assistants. Mainstream adoption in iOS development tooling seems limited unless AI-assisted coding becomes dominant in the iOS dev workflow (probable but not certain by 2028). More likely outcome: modest, steady growth within the AI-assisted-Swift-dev subgroup, with potential to evolve into a template for other domain-specific agent skills.
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Languages
No language breakdown available.
Information
- License
- MIT
- Last updated
- 3mo ago
- Created
- 4mo ago
- Analyzed with
- anthropic/claude-haiku-4-5
Stars over time
Contributors over time
Top 100 contributors only — repos with more will plateau at 100.
Open issues
Proposal: SKILL.md lint CI (catch duplicate skill drift)
Skills inside the skill folder?
Possible complementary direction: long-term skill lifecycle management with SkillClaw
Update referenced for private state variables to leave alone in Preview macro
in swift.md advice to rely on string catalog capabilities
Recent releases
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| Repository | Stars | Week Δ | Language | Score | Updated |
|---|---|---|---|---|---|
|
twostraws/SwiftUI-Agent-Skill
this
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|
twostraws/Swift-Agent-Skills
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3.2k | — | Python | 7/10 | 3w ago |
 JimLiu/baoyu-skills
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|
softaworks/agent-toolkit
|
2.2k | — | Python | 7/10 | 4mo ago |
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|
1.1k | — | Python | 8/10 | 3w ago |
Similar-named project with comparable star count (3,140 vs 4,230). Language difference (Python vs. Swift/TypeScript) suggests different target environment or historical lineage. Relationship between projects unclear; may indicate duplicated effort or variant implementations.
Narrower scope (iOS simulator automation). Fewer stars (1,093). Suggests a smaller but related niche within agent-skills-for-iOS ecosystem.
Vastly larger project and different language/purpose. Not direct competitor but indicates some projects in agent-skills space achieve much higher adoption; SwiftUI-Agent-Skill serves narrower domain.
Generic agent toolkit. Broader remit; SwiftUI-Agent-Skill is more specialized. SwiftUI version has gained more stars despite later creation date.
Generic skill building framework. SwiftUI-Agent-Skill is a consumer/instance of such frameworks rather than a competitor.
