/code_analysis

Perform a comprehensive code analysis on the specified files or directory. If no path is provided, analyze the current working directory.

Analysis Process:

1. Parse Arguments:

   • Extract the path from $ARGUMENTS (defaults to current directory if not specified)
   • Determine scope: single file, multiple files, or entire directory

2. Language Detection:

   • Identify programming language(s) based on file extensions
   • Apply language-specific analysis rules

3. Code Quality Analysis:

   • Complexity Metrics: Cyclomatic complexity, nesting depth, function length
   • Code Smells: Long methods, large classes, duplicate code patterns
   • Best Practices: Naming conventions, code organization, documentation
   • Security Issues: Common vulnerabilities, unsafe patterns, input validation
   • Performance: Inefficient algorithms, memory leaks, blocking operations
   • Maintainability: Code coupling, cohesion, test coverage indicators

4. Generate Report:

   • Summary with overall health score
   • Detailed findings by category
   • Priority-ranked issues (High/Medium/Low)
   • Specific file and line references
   • Actionable recommendations for improvement

5. Track with TodoWrite:

   • Create todos for high-priority issues found
   • Organize by fix complexity and impact

Example Usage:

• /code_analysis - Analyze entire current directory
• /code_analysis src/ - Analyze all code in src directory
• /code_analysis app.js - Analyze specific file
• /code_analysis "src/**/*.py" - Analyze all Python files in src

Target path: $ARGUMENTS