Identify, report, and fix code quality issues across a repository.
npx skills add https://github.com/tfunk1030/vibe --skill qlty-check-tfunk1030
Please help me install this Agent Skill. Skill: qlty-check Source: https://github.com/tfunk1030/vibe/tree/main/.claude/skills/qlty-check Command: npx skills add https://github.com/tfunk1030/vibe --skill qlty-check-tfunk1030
This universal code quality tool helps developers enforce consistent coding standards across languages by enabling a broad suite of linting, formatting, and metrics via the qlty CLI.
Run the quality checks to automatically fix issues across your codebase.
High-intent search queries and answers about installing and using this skill.
Automate code quality checks across multiple languages by using a unified interface that orchestrates linting, formatting, and metrics. This identifies and fixes issues across your entire repository or targeted files.
Yes, you can automatically fix linting and formatting issues by running quality checks that enforce code style and detect smells across your entire repository or targeted files.
This code quality tool supports static analysis for polyglot projects by providing linting across 70+ language ecosystems, enabling comprehensive code smell detection and maintainability metrics.
The best way to enforce consistent coding standards in a multi-language codebase is using a unified interface to apply auto-formatting, linting, and code style enforcement across all targeted files.
You need the qlty CLI and repository configuration in .qlty to orchestrate checks, fixes, and reports via the MCP server wrapper for repository-wide code quality validation.
Static analysis and code smell detection matter for maintainability because they identify structural issues across your codebase, enabling automated fixes that enforce consistent coding standards.
scooter-lacroixRun automated code quality checks and metrics with the qlty CLI.
matteocervelliValidate Python code formatting, typing, linting, and security issues.
parcadeiRun qlty CLI code quality checks to produce lint reports, fixes, and metrics.
deandumEnforce language-agnostic coding style and conventions across a codebase.
