How does it improve code quality beyond just running tests?

It mandates a manual self-review of the diff to catch logic smells like unused variables, missing error handling at boundaries, and over-long functions that tests might miss.

When should I use the Quality Loop skill?

Use it after any significant code change involving more than three files or after implementing new features with tests to ensure no regressions or 'good enough' shortcuts were taken.

Does it support my programming language?

Yes, it includes predefined test commands for popular environments like Go (go test), JS/TS (npm test), and Python (pytest), and can be easily applied to others.

Can I use it for quick documentation changes?

It is not recommended for minor fixes or documentation-only changes; it is specifically designed for functional code implementations that require verification.

Quality Loop Engineering Gate

Name: Quality Loop Engineering Gate
Author: ash1794

byash1794

•

Seguridad y Pruebas

Enforces a rigorous implement-review-test-fix cycle to ensure production-grade code quality and prevent premature completion.

The Quality Loop skill transforms Claude into a disciplined engineer by mandating a structured feedback loop that continues until code is truly clean. By preventing 'good enough' exits on non-trivial features, it forces a thorough self-review of code diffs and the execution of full test suites. This process systematically catches common oversights like unused imports, missing error handling, and hardcoded values, ensuring that every implementation meets high engineering standards before a commit is ever made.

Características Principales

01Automated self-review of code diffs to identify anti-patterns

02Iterative bug-fixing cycles focused on regression resolution

03Full-suite test execution for Go, JavaScript, TypeScript, and Python

046 GitHub stars

05Detailed quality reporting with iteration counts and status tracking

06Enforced quality gates for complex multi-file implementations

Casos de Uso

01Automating the 'test-fix-repeat' cycle for legacy code updates and migrations

02Verifying complex feature implementations before submitting a Pull Request

03Ensuring system stability after refactoring multiple core project files

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ash1794/vibe-engineering quality-loop

For use in Claude.ai and ChatGPT

Características Principales

01Automated self-review of code diffs to identify anti-patterns

02Iterative bug-fixing cycles focused on regression resolution

03Full-suite test execution for Go, JavaScript, TypeScript, and Python

046 GitHub stars

05Detailed quality reporting with iteration counts and status tracking

06Enforced quality gates for complex multi-file implementations

Casos de Uso

01Automating the 'test-fix-repeat' cycle for legacy code updates and migrations

02Verifying complex feature implementations before submitting a Pull Request

03Ensuring system stability after refactoring multiple core project files

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ash1794/vibe-engineering quality-loop

For use in Claude.ai and ChatGPT