What issues does the Code Style Analyzer detect?

It detects inconsistent formatting, naming convention violations, poor code organization, low-quality comments, unused code, and hardcoded magic numbers or strings.

Can I use this for any programming language?

Yes, the skill is designed to analyze general programming patterns and style conventions that apply to most modern programming and markup languages.

Does it provide the code to fix the issues?

Yes, every reported issue includes a 'Suggested Fix' section showing exactly how the code should be rewritten to meet style standards.

How does it prioritize code style issues?

Issues are categorized into three levels: Must-Fix (bugs or major readability issues), Should-Fix (standard maintenance), and Nice-to-Have (cosmetic improvements).

Code Style Analyzer

Name: Code Style Analyzer
Author: lexicalninja

bylexicalninja

Developer Tools

Analyzes source code to identify and resolve formatting inconsistencies, naming convention violations, and structural technical debt.

About

The Code Style Analyzer skill acts as an intelligent, context-aware linter that evaluates your codebase against industry best practices and internal standards. It scans for a wide range of issues including inconsistent indentation, improper naming conventions, magic numbers, and unused code, providing structured reports that categorize issues by priority. This skill is particularly useful during code reviews or refactoring sessions, helping developers maintain a clean, readable, and professional codebase without manual nitpicking.

Key Features

Detects unused code, including dead functions and orphan imports
Generates structured reports with file paths, line numbers, and suggested fixes
0 GitHub stars
Validates naming conventions across variables, functions, and files
Identifies inconsistent indentation, spacing, and bracket placement
Flags magic numbers and hardcoded strings for extraction into constants

Use Cases

Automating the 'nitpick' phase of code reviews to focus on logic and architecture
Standardizing a legacy codebase that has evolved with inconsistent style patterns
Preparing a pull request by cleaning up style violations and formatting issues

About

Key Features

Detects unused code, including dead functions and orphan imports
Generates structured reports with file paths, line numbers, and suggested fixes
0 GitHub stars
Validates naming conventions across variables, functions, and files
Identifies inconsistent indentation, spacing, and bracket placement
Flags magic numbers and hardcoded strings for extraction into constants

Use Cases

Automating the 'nitpick' phase of code reviews to focus on logic and architecture
Standardizing a legacy codebase that has evolved with inconsistent style patterns
Preparing a pull request by cleaning up style violations and formatting issues