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-# Check Best Practices
-
-Analyze code against language-specific best practices, coding standards, and community conventions to improve code quality and maintainability.
-
-## Usage Examples
-
-### Basic Usage
-"Check if this code follows Python best practices"
-"Review JavaScript code for ES6+ best practices"
-"Analyze React components for best practices"
-
-### Specific Checks
-"Check if this follows PEP 8 conventions"
-"Review TypeScript code for proper type usage"
-"Verify REST API design best practices"
-"Check Git commit message conventions"
-
-## Instructions for Claude
-
-When checking best practices:
-
-1. **Identify Language/Framework**: Detect the languages and frameworks being used
-2. **Apply Relevant Standards**: Use appropriate style guides and conventions
-3. **Context Awareness**: Consider project-specific patterns and existing conventions
-4. **Actionable Feedback**: Provide specific examples of improvements
-5. **Prioritize Issues**: Focus on impactful improvements over nitpicks
-
-### Language-Specific Guidelines
-
-#### Python
-- PEP 8 style guide compliance
-- PEP 484 type hints usage
-- Pythonic idioms and patterns
-- Proper exception handling
-- Module and package structure
-
-#### JavaScript/TypeScript
-- Modern ES6+ features usage
-- Async/await over callbacks
-- Proper error handling
-- Module organization
-- TypeScript strict mode compliance
-
-#### React/Vue/Angular
-- Component structure and organization
-- State management patterns
-- Performance optimizations
-- Accessibility considerations
-- Testing patterns
-
-#### API Design
-- RESTful conventions
-- Consistent naming patterns
-- Proper HTTP status codes
-- API versioning strategy
-- Documentation standards
-
-### Code Quality Aspects
-
-#### Naming Conventions
-- Variable and function names
-- Class and module names
-- Consistency across codebase
-- Meaningful and descriptive names
-
-#### Code Organization
-- File and folder structure
-- Separation of concerns
-- DRY (Don't Repeat Yourself)
-- Single Responsibility Principle
-- Modular design
-
-#### Error Handling
-- Comprehensive error catching
-- Meaningful error messages
-- Proper logging practices
-- Graceful degradation
-
-#### Performance
-- Efficient algorithms
-- Proper caching strategies
-- Lazy loading where appropriate
-- Database query optimization
-- Memory management
-
-#### Testing
-- Test coverage adequacy
-- Test naming conventions
-- Test organization
-- Mock usage patterns
-- Integration vs unit tests
-
-### Output Format
-
-Structure the analysis as:
-
-```markdown
-## Best Practices Review
-
-### Summary
-- Language/Framework: [Detected stack]
-- Overall Score: X/10
-- Key Areas for Improvement: [List]
-
-### Excellent Practices Found
-- [Practice 1]: Brief explanation
-- [Practice 2]: Brief explanation
-
-### Areas for Improvement
-
-#### High Priority
-1. **[Issue Name]**
-   - Current: `code example`
-   - Recommended: `improved code`
-   - Reason: Explanation of why this matters
-
-#### Medium Priority
-[Similar format]
-
-#### Low Priority
-[Similar format]
-
-### Quick Wins
-- [Easy improvement 1]
-- [Easy improvement 2]
-
-### Long-term Recommendations
-- [Strategic improvement 1]
-- [Strategic improvement 2]
-```
-
-Focus on:
-- Practical, implementable suggestions
-- Learning opportunities
-- Maintaining consistency with existing code
-- Balancing perfection with pragmatism
-\ No newline at end of file