by ameyalambat128 · Codex Skill · ★ 64
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/swiftui-skills Apple-authored SwiftUI and Apple platform guidance, packaged as skills for AI coding agents. What is this? SwiftUI is opinionated. Most AI agents do not know those opinions. extracts internal Apple documentation shipped inside Xcode and turns it into reusable skills that help AI agents write idiomatic, Apple-native SwiftUI code. Uses Apple-written guidance from inside Xcode Reduces hallucinated or non-idiomatic SwiftUI Works with Claude Code, Cursor, Codex, OpenClaw, and similar tools Open source and local-first Installation Using curl (Recommended) The installer extracts local Xcode docs and installs the skill into detected runtimes, including OpenClaw shared installs at . Using Choose the install scope in the TUI and keep selected. Shared agent install Project-local agent install OpenClaw manual install OpenClaw can load the same canonical skill package from any of these paths: For a shared OpenClaw install: bash mkdir -p /.openclaw/skills cp -R src/skil
| Stars | 64 |
| Forks | 4 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 45.7/100 |
| Open Issues | 3 |
| Last Updated | 2026-05-16 |
| Created | 2026-01-17 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~43k |
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swiftui-skills is Agent skills for SwiftUI, built from Apple's Xcode AI documentation.. It is categorized as a Codex Skill with 64 GitHub stars.
swiftui-skills is primarily written in TypeScript. It covers topics such as ai-agents, claude-code, codex.
You can find installation instructions and usage details in the swiftui-skills GitHub repository at github.com/ameyalambat128/swiftui-skills. The project has 64 stars and 4 forks, indicating an active community.
swiftui-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to swiftui-skills on Agent Skills Hub include agnix, deepcontext-mcp, ContextKit. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.