swift-testing-pro▌
twostraws/swift-testing-agent-skill · updated Apr 8, 2026
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Write, review, and improve Swift Testing code with modern APIs and best practices.
- ›Validates test structure, assertions, dependency injection, async patterns, and actor isolation against Swift Testing conventions
- ›Guides migration from XCTest to Swift Testing, including assertion mappings and modern concurrency patterns
- ›Covers new features like raw identifiers, test scopes, exit tests, attachments, and range-based confirmations
- ›Targets Swift 6.2+ with emphasis on modern Swift concu
Write and review Swift Testing code for correctness, modern API usage, and adherence to project conventions. Report only genuine problems - do not nitpick or invent issues.
Review process:
- Ensure tests follow core Swift Testing conventions using
references/core-rules.md. - Validate test structure, assertions, dependency injection, and other best practices using
references/writing-better-tests.md. - Check async tests, confirmations, time limits, actor isolation, and networking mocks using
references/async-tests.md. - Ensure new features like raw identifiers, test scopes, exit tests, and attachments are used correctly using
references/new-features.md. - If migrating from XCTest, follow the conversion guidance in
references/migrating-from-xctest.md.
If doing partial work, load only the relevant reference files.
Core Instructions
- Target Swift 6.2 or later, using modern Swift concurrency.
- As a Swift Testing developer, the user wants all new unit and integration tests to be written using Swift Testing, and they may ask for help migrating existing XCTest code to Swift Testing.
- Swift Testing does not support UI tests – XCTest must be used there.
- Use a consistent project structure, with folder layout determined by app features.
Swift Testing evolves with each Swift release, so expect three to four releases each year, each introducing new features. This means existing training data you have will naturally be outdated or missing key features.
This skill specifically draws upon the very latest Swift and Swift Testing code, which means it will suggest things you are not aware of. Treat the user’s installed toolchain as authoritative, but there's a fairly high chance Apple's documentation about the APIs will be stale, so treat them carefully.
Output Format
If the user asks for a review, organize findings by file. For each issue:
- State the file and relevant line(s).
- Name the rule being violated.
- Show a brief before/after code fix.
Skip files with no issues. End with a prioritized summary of the most impactful changes to make first.
If the user asks you to write or improve tests, follow the same rules above but make the changes directly instead of returning a findings report.
Example output:
UserTests.swift
Line 5: Use struct, not class, for test suites.
// Before
class UserTests: XCTestCase {
// After
struct UserTests {
Line 12: Use #expect instead of XCTAssertEqual.
// Before
XCTAssertEqual(user.name, "Taylor")
// After
#expect(user.name == "Taylor")
Line 30: Use #require for preconditions, not #expect.
// Before
#expect(users.isEmpty == false)
let first = users.first!
// After
let first = try #require(users.first)
Summary
- Fundamentals (high): Test suite on line 5 should be a struct, not a class inheriting from
XCTestCase. - Migration (medium):
XCTAssertEqualon line 12 should be migrated to#expect. - Assertions (medium): Force-unwrap on line 30 should use
#requireto unwrap safely and stop the test early on failure.
End of example.
References
references/core-rules.md- core Swift Testing rules: structs over classes,init/deinitover setUp/tearDown, parallel execution, parameterized tests,withKnownIssue, and tags.references/writing-better-tests.md- test hygiene, structuring tests, hidden dependencies,#expectvs#require,Issue.record(),#expect(throws:), and verification methods.references/async-tests.md- serialized tests,confirmation(), time limits, actor isolation, testing pre-concurrency code, and mocking networking.references/new-features.md- raw identifiers, range-based confirmations, test scoping traits, exit tests, attachments,ConditionTrait.evaluate(), and the updated#expect(throws:)return value.references/migrating-from-xctest.md- XCTest-to-Swift Testing conversion steps, assertion mappings, and floating-point tolerance via Swift Numerics.
How to use swift-testing-pro on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add swift-testing-pro
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches swift-testing-pro from GitHub repository twostraws/swift-testing-agent-skill and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate swift-testing-pro. Access the skill through slash commands (e.g., /swift-testing-pro) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★74 reviews- ★★★★★Evelyn Wang· Dec 28, 2024
swift-testing-pro reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Neel Bhatia· Dec 16, 2024
swift-testing-pro reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Aarav Jain· Dec 12, 2024
We added swift-testing-pro from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Olivia Brown· Dec 8, 2024
I recommend swift-testing-pro for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Mateo Anderson· Dec 8, 2024
swift-testing-pro has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Pratham Ware· Dec 4, 2024
Useful defaults in swift-testing-pro — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Aisha Lopez· Dec 4, 2024
Solid pick for teams standardizing on skills: swift-testing-pro is focused, and the summary matches what you get after install.
- ★★★★★Aditi Gupta· Dec 4, 2024
Registry listing for swift-testing-pro matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Zaid Singh· Nov 27, 2024
Solid pick for teams standardizing on skills: swift-testing-pro is focused, and the summary matches what you get after install.
- ★★★★★Olivia Taylor· Nov 27, 2024
Useful defaults in swift-testing-pro — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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