23 Agent Skills for iOS 26 Development with SwiftUI and Swift 6.2

A developer on r/ClaudeAI has built 23 agent skills specifically for iOS development to address common issues with AI coding assistants. The skills target iOS 26+ and Swift 6.2, with best practices included and no deprecated APIs.
Problem Being Solved
The developer found that general-purpose models were "constantly hallucinating deprecated APIs, generally mixing up old and new patterns, and have no clue about iOS 26 stuff like Liquid Glass or Foundation Models." Installing these skills has "fixed most of the hallucination issues" and results in agents producing "much more accurate and up-to-date code, whilst avoiding the old patterns."
Skill Coverage
The skills cover most of the iOS development surface area:
- SwiftUI patterns
- SwiftData
- StoreKit 2
- Push notifications
- Networking
- Concurrency
- Accessibility
- Localization
- WidgetKit
- MapKit
- And more
Installation Instructions
For Claude Code:
Add the marketplace (one-time): /plugin marketplace add dpearson2699/swift-ios-skills
Install everything: /plugin install all-ios-skills@swift-ios-skills
Or install themed bundles:
/plugin install swiftui-skills@swift-ios-skills /plugin install swift-core-skills@swift-ios-skills /plugin install ios-framework-skills@swift-ios-skills /plugin install ios-engineering-skills@swift-ios-skills
For Claude Web App or Claude Desktop:
- Download the skill folder(s) you want from the repo and zip each one
- Go to Settings > Capabilities and make sure "Code execution and file creation" is on
- Go to Customize > Skills, click "+", then "Upload a skill"
- Upload the zip
Skill Design Considerations
The developer paid "special attention when making the description of the skills" following best practices from the Claude platform documentation. They went through "a few rounds of optimizing the descriptions so they get called as reliably as possible, since that's the only thing the agent sees when deciding which skill to load." All skills are self-contained so developers can "just grab the ones you actually need."
📖 Read the full source: r/ClaudeAI
👀 See Also

Running Google Gemma 4 26B-A4B Locally with LM Studio 0.4.0 Headless CLI
LM Studio 0.4.0 introduces llmster and the lms CLI for headless local model inference. The article details setting up Google's Gemma 4 26B-A4B MoE model on a MacBook Pro M4 Pro, achieving 51 tokens/second with 48GB unified memory.

AI Chat Exporter: A Chrome Extension for High-Fidelity Claude Conversation PDFs
A developer built AI Chat Exporter, a Chrome extension that preserves math, code, and images when exporting Claude conversations to PDF. The tool uses a local browser-based rendering engine developed with Claude 3.5 Sonnet to handle progressive markdown and LaTeX formatting.

Stackdome: Open Source Self-Hostable Railway Alternative on Kubernetes
Stackdome is an open source, self-hostable platform that packages CNCF tooling into an opinionated, Railway-like developer experience on Kubernetes. It features a canvas UI, multi-cluster support, managed Postgres, and source-to-image builds.

Open-source memory system for LLM agents achieves high benchmark scores
A persistent memory system for Claude Code and OpenClaw provides LLM agents with context continuity across sessions, achieving 90.8% on LoCoMo and 89.1% on LongMemEval benchmarks. The adapter-based architecture works with any agent framework.