Swift Testing Agent Skill

This project provides an agent skill designed to enhance the test-writing capabilities of AI coding assistants like Claude Code, Codex, Cursor, and Gemini. It specifically targets common mistakes LLMs make when generating tests using Apple's Swift Testing framework, enabling developers to produce more robust and accurate tests with AI assistance.

How It Works

The skill integrates with AI coding assistants, offering specialized rules and checks derived from deep expertise in Swift Testing. Its core approach is to identify and correct frequent errors LLMs commit, particularly concerning newer or nuanced features of the Swift Testing framework, rather than reiterating fundamental concepts. This targeted approach aims to improve test quality efficiently.

Quick Start & Requirements

Installation is performed using Node Package Runner (npx): npx skills add https://github.com/twostraws/swift-testing-agent-skill --skill swift-testing-pro If npx is not found, Node.js must be installed, potentially via Homebrew (brew install node). The skill can be configured for single-project or global use. A YouTube video is available for an Xcode integration walkthrough.

Highlighted Details

• Covers advanced Swift Testing features: @Test, #expect, #require, parameterized testing, traits, exit tests, and confirmations.
• Specifically designed to address common errors made by Large Language Models (LLMs) in Swift test generation.
• Focuses on edge cases, surprising behaviors, and soft deprecations within Swift Testing.
• Leverages extensive knowledge from the "Swift Testing" book and related articles by the author.

Maintenance & Community

The project is authored by Paul Hudson, known for Hacking with Swift. Contributions are welcomed, focusing on adding checks, improving existing ones, or refining documentation, with an emphasis on conciseness to respect token budgets.

Licensing & Compatibility

The skill is licensed under the MIT License, which permits commercial use, modification, distribution, and private use without significant restrictions.

Limitations & Caveats

The skill deliberately avoids covering Swift Testing fundamentals already known by LLMs to conserve user token budgets. Users should be mindful of the token costs associated with using agent skills. The project focuses on high-impact areas rather than being an exhaustive reference.