Analyzes code quality including style, complexity, dead code, and type hints.
npx skills add https://github.com/eyadsibai/ltk --skill code-quality-eyadsibai
Please help me install this Agent Skill. Skill: Code Quality Source: https://github.com/eyadsibai/ltk/tree/main/plugins/ltk-engineering/skills/code-quality Command: npx skills add https://github.com/eyadsibai/ltk --skill code-quality-eyadsibai
This Skill addresses the challenges of maintaining high code quality by automating the detection of style violations, code complexity, dead code, and type errors, ensuring a cleaner and more robust codebase.
Run a full code quality analysis on the current project directory.
High-intent search queries and answers about installing and using this skill.
To check Python projects for PEP8 violations and unused imports, you can run an automated static analysis scan. This process uses tools like Flake8 for style compliance and Vulture to identify dead code, providing a report to guide refactoring efforts.
Cyclomatic complexity analysis measures the number of independent execution paths in your code to identify hard-to-understand segments. By highlighting functions with high complexity and deep nesting, it guides refactoring efforts to improve overall code maintainability.
Yes, code quality analysis supports type hint validation with mypy. It automatically validates type annotations to detect missing hints and type errors, which improves code reliability and ensures a more robust codebase.
Yes, you can automatically detect dead code and unreachable segments in your codebase. The analysis identifies unused imports, variables, functions, and unreachable code segments using specialized static analysis tools like Vulture and autoflake.
The best way to enforce Black formatting and isort import sorting is through an automated code quality scan. This process checks style compliance against language-specific guides, ensuring a cleaner codebase and consistent formatting across the project.
Automated static analysis for detecting code complexity is limited to measurable syntactic metrics like function length and nesting depth. It cannot evaluate contextual design flaws or runtime performance issues, so manual review is still necessary for comprehensive maintainability assessment.
jorgealvesEnforce Black, Isort, and Flake8 standards across Python projects.
wildbitcaRemove dead code, unused imports, and empty directories across multiple languages.
TarasTsavolykRun linting, testing, and type checking before code commit.
baphledGuide static code analysis tools to detect bugs, vulnerabilities, and style violations.
