>- Provides file paths to language-specific extension files for the code-testing pipeline. Call this skill to discover available extension guidance files (e.g., dotnet.md for .NET, cpp.md for C++). Do not use directly — invoked by code-testing agents and skills that need language-specific references.
npx skills add https://github.com/dotnet/skills --skill code-testing-extensions
This skill provides access to language-specific guidance files used by the code-testing pipeline. Call this skill to get the file paths, then read the relevant file for your target language.
| File | Language | Contents |
|------|----------|----------|
| extensions/dotnet.md | .NET (C#/F#/VB) | Build commands, test commands, project reference validation, common CS error codes, MSTest template |
| extensions/python.md | Python | Framework-adaptive test commands (pytest, custom runners), project layout detection, mocking guidelines, common errors |
| extensions/typescript.md | TypeScript/JavaScript | Build/test commands (Jest/Vitest/Mocha), framework detection, mocking, TS-specific considerations |
| extensions/powershell.md | PowerShell | Test commands (Pester v5), module import patterns, discovery/run pitfalls, mocking, common errors |
| extensions/cpp.md | C++ | Testing internals with friend declarations |
| extensions/go.md | Go | go test commands, table-driven tests, integration vs unit layout, mocking via interfaces, common errors |
| extensions/java.md | Java | Maven/Gradle commands, JUnit 4/5 and TestNG detection, Mockito, Spring Boot slices, common errors |
| extensions/rust.md | Rust | cargo test commands, unit vs integration vs doc tests, features, async test harnesses, common errors |
| extensions/ruby.md | Ruby | RSpec and Minitest commands, Bundler usage, Rails specifics, mocking patterns, common errors |
| extensions/swift.md | Swift | SPM and Xcode test commands, XCTest vs Swift Testing, @testable import, async/throws tests, common errors |
| extensions/kotlin.md | Kotlin | Gradle commands, JUnit/Kotest detection, MockK, coroutines test, KMP and Android specifics, common errors |
| extensions/dotnet-examples.md | .NET (C#/F#/VB) | Concrete pipeline examples: sample research output, plan, generated tests, fix cycles, final report |
| extensions/python-examples.md | Python | Concrete pipeline examples (pytest): research, plan, generated test file, fix cycles, final report |
| extensions/typescript-examples.md | TypeScript/JavaScript | Concrete pipeline examples (Vitest, applicable to Jest): research, plan, generated test file, fix cycles, final report |
| extensions/go-examples.md | Go | Concrete pipeline examples (standard testing): research, plan, table-driven test file, fix cycles, final report |
| extensions/java-examples.md | Java | Concrete pipeline examples (JUnit 5 + Mockito on Maven): research, plan, generated test file, fix cycles, final report |
Read the appropriate extension file for the target language before writing test code. When an <language>-examples.md file exists for the target language, read it alongside the base extension to see a concrete end-to-end pipeline walkthrough (research output, plan, generated tests, fix cycles, final report).
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Use when implementing any feature or bugfix, before writing implementation code
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
Take dotnet/code-testing-extensions from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.