from typing import Dict, Any, Set

class TaskAnalyzer:
    def identify_required_skills(self, task: Dict[str, Any]) -> Set[str]:
        # This is a placeholder implementation. In a real-world scenario,
        # this method would use more sophisticated techniques to analyze the task.
        skills = set()
        if 'type' in task:
            if task['type'] == 'reflection':
                skills.add('self-evaluation')
            elif task['type'] == 'tool_usage':
                skills.add('tool_usage')
            elif task['type'] == 'planning':
                skills.add('task_planning')
        return skills

    def estimate_complexity(self, task: Dict[str, Any]) -> int:
        # Placeholder method to estimate task complexity
        # Returns a value from 1 (simple) to 10 (very complex)
        return len(str(task)) // 100 + 1  # Simple estimation based on task size

    def identify_dependencies(self, task: Dict[str, Any]) -> List[str]:
        # Placeholder method to identify task dependencies
        return task.get('dependencies', [])

    def estimate_duration(self, task: Dict[str, Any]) -> float:
        # Placeholder method to estimate task duration in hours
        return self.estimate_complexity(task) * 0.5  # Simple estimation