Analyzes codebases for non-idiomatic language usage and automatically files findings as organized Linear issues.
This skill streamlines code quality audits by identifying patterns that work but fail to follow the specific conventions and best practices of your project's programming language. It automatically detects the primary language of your codebase, performs a deep analysis to find non-idiomatic logic—such as Java-style patterns in Kotlin or imperative loops where functional alternatives exist—and provides side-by-side comparisons. Once reviewed, it seamlessly integrates with Linear to create detailed issues complete with code snippets, impact assessments, and priority levels, ensuring technical debt is tracked and resolved within your existing workflow.
Key Features
01Direct Linear integration for team, project, and assignee selection
020 GitHub stars
03Automated priority mapping and issue labeling for non-idiomatic findings
04Deep codebase analysis using the feature-dev:code-explorer subagent
05Automatic language detection based on project configuration and file extensions
06Side-by-side comparison of non-idiomatic patterns vs. idiomatic alternatives
Use Cases
01Automating the creation of refactoring tickets during code quality audits
02Systematic technical debt reviews focused on maintainability and readability
03Modernizing legacy codebases or refactoring code written by developers new to a specific language
