stacks-queues
Stack and queue data structures with applications
When & Why to Use This Skill
This Claude skill provides a comprehensive framework for mastering fundamental data structures, specifically focusing on stacks and queues. It offers detailed guidance on implementation strategies (array vs. linked), advanced patterns like monotonic stacks, and the practical application of priority queues and heaps in algorithmic problem-solving. Designed for developers and students, it bridges the gap between theoretical computer science and real-world coding execution.
Use Cases
- Algorithm Design: Implementing Breadth-First Search (BFS) using queues for efficient graph traversal and finding the shortest path in unweighted grids.
- Syntax Parsing: Utilizing stacks for bracket matching, expression evaluation, and building robust compilers or code editors.
- Task Scheduling: Leveraging priority queues and heaps to manage system resources, process scheduling, and event-driven simulations.
- Optimization Patterns: Applying monotonic stack techniques to solve complex array-based challenges, such as the 'Next Greater Element' problem or histogram area calculations.
| name | stacks-queues |
|---|---|
| description | Stack and queue data structures with applications |
| sasmp_version | "1.3.0" |
| bonded_agent | 01-arrays-lists |
| bond_type | PRIMARY_BOND |
Stacks and Queues Skill
Topics Covered
- Stack implementation (array/linked)
- Queue and deque operations
- Priority queues and heaps
- Monotonic stacks
- BFS queue patterns
Learning Outcomes
- Implement stacks and queues
- Use priority queues
- Apply monotonic patterns
- Solve bracket matching