import re

def clean_text(text):
    """Basic text cleaning"""
    text = text.lower()
    text = re.sub(r'[^\w\s]', '', text)  # Remove punctuation
    text = re.sub(r'\s+', ' ', text)      # Remove extra whitespace
    return text.strip()

def extract_skills(text):
    """Extract skills from text (simplified version)"""
    common_skills = {
        # Technical skills
        'python', 'java', 'javascript', 'sql', 'html', 'css', 'react', 
        'docker', 'kubernetes', 'aws', 'machine learning', 'tensorflow',
        'pytorch', 'git', 'linux', 'node.js', 'typescript', 'azure', 'gcp',
        
        # Soft skills
        'communication', 'leadership', 'problem solving', 'teamwork',
        'project management', 'agile', 'scrum'
    }
    
    found_skills = set()
    for skill in common_skills:
        if skill in text:
            found_skills.add(skill.title())
    
    return list(found_skills)