Does this skill support monorepo architectures?

Yes, it is specifically designed with monorepo awareness, scanning subdirectories like frontend and backend to run all detected test suites.

How does it handle Python environments?

It prioritizes using 'uv run pytest' for faster execution if uv is available, falling back to standard pytest if necessary.

Will I see the full stack trace for every failure?

No, the skill is optimized for conciseness. It provides a brief description of the failure and a one-sentence summary of the likely cause to keep your workspace clean.

When is the best time to use this skill?

It is best used immediately after writing or modifying code that includes tests, ensuring you catch regressions before moving to the next task.

Which programming languages and frameworks are supported?

The skill supports Python (pytest), JavaScript/TypeScript (NPM, Vitest, Jest), Go, Rust (Cargo), .NET (dotnet test), and projects using Makefiles or Taskfiles.

Test Runner Automator

Name: Test Runner Automator
Author: rasha-hantash

byrasha-hantash

0•

Seguridad y Pruebas

Automatically detects and executes multi-framework test suites to provide concise pass/fail summaries after code modifications.

The Test Runner skill streamlines the development lifecycle by automatically identifying and executing test suites across a wide range of programming environments including Python, JavaScript, Go, Rust, and .NET. By scanning the project root and subdirectories for configuration files like package.json or pyproject.toml, it intelligently selects the correct testing tool—such as pytest, vitest, or cargo—and handles complex monorepo structures. Instead of overwhelming the user with logs, it provides a high-level summary of results and identifies the likely causes of failures, making it an essential tool for maintaining code quality during rapid iteration.

Características Principales

01Monorepo awareness to handle multiple test suites across subdirectories

02Automatic framework detection for Python, JS, Go, Rust, .NET, and Makefiles

030 GitHub stars

04Concise reporting format that highlights failure summaries over verbose logs

05Intelligent failure analysis to pinpoint the likely cause of test breaks

06Optimized execution using modern tools like uv for Python projects

Casos de Uso

01Running comprehensive checks across a polyglot monorepo with a single command

02Verifying application stability immediately after refactoring or adding new features

03Generating quick health reports to ensure project integrity before committing code

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rasha-hantash/dotfiles test-runner

For use in Claude.ai and ChatGPT