Agent Skills: Data Structures Skill

Master selection and implementation of data structures. Learn when to use arrays, lists, trees, graphs, heaps, and hash tables for optimal performance.

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skills/data-structures/SKILL.md

Skill Metadata

Name
data-structures
Description
Master selection and implementation of data structures. Learn when to use arrays, lists, trees, graphs, heaps, and hash tables for optimal performance.

Data Structures Skill

Skill Metadata

skill_config:
  version: "1.0.0"
  category: implementation
  prerequisites: [cs-foundations]
  estimated_time: "6-8 weeks"
  difficulty: intermediate

  parameter_validation:
    structure_type:
      type: string
      enum: [array, list, tree, heap, hash, graph, trie]
      required: true
    operation:
      type: string
      enum: [search, insert, delete, traverse]

  retry_config:
    max_attempts: 3
    backoff_strategy: exponential
    initial_delay_ms: 500

  observability:
    log_level: INFO
    metrics: [structure_usage, operation_complexity]

Quick Start

Choose the right structure for every problem. Master operations and trade-offs.

Linear Structures

Arrays

  • Random access O(1)
  • Fixed size
  • Cache friendly
  • Use: Known size, frequent access

Linked Lists

  • Dynamic size
  • Sequential access O(n)
  • Efficient insertion/deletion O(1)
  • Types: Singly, doubly, circular

Stacks

  • LIFO principle
  • Push/pop O(1)
  • Use: Undo/redo, parenthesis matching, DFS

Queues

  • FIFO principle
  • Enqueue/dequeue O(1)
  • Types: Simple, circular, priority, deque
  • Use: BFS, job scheduling

Trees

Binary Search Trees

  • Ordered storage
  • Search/insert/delete O(log n) avg
  • Traversals: inorder, preorder, postorder

Balanced Trees

  • AVL: height-balanced
  • Red-Black: color-based balancing
  • B-Trees: multi-way
  • Guarantee O(log n) operations

Heaps

  • Min/Max heap property
  • Insert/delete O(log n), Build O(n)
  • Use: Priority queues, heap sort

Hash Structures

Hash Tables

  • Average O(1) operations
  • Collision handling: chaining, open addressing
  • Load factor matters

Decision Matrix

| Need | Best Structure | |------|----------------| | Random access | Array | | Frequent insertions/deletions | Linked list | | Min/max element | Heap | | Ordered traversal | BST | | Fast lookup | Hash table | | Prefix matching | Trie | | Relations | Graph |


Complexity Comparison

| Operation | Array | List | BST | Hash | Heap | |-----------|-------|------|-----|------|------| | Search | O(n) | O(n) | O(log n) | O(1) avg | O(n) | | Insert | O(n) | O(1)* | O(log n) | O(1) avg | O(log n) | | Delete | O(n) | O(1)* | O(log n) | O(1) avg | O(log n) |


Troubleshooting

| Issue | Root Cause | Resolution | |-------|------------|------------| | Hash collision storm | Poor hash function | Improve hash, use chaining | | Tree degenerates | Sorted insertions | Use balanced tree (AVL/RB) | | Memory exhaustion | No size limits | Add capacity limits | | Iterator invalidation | Modify during iteration | Use safe iteration pattern |


Implementation Checklist

  • [ ] Dynamic array with resizing
  • [ ] Singly/doubly linked list
  • [ ] Stack and queue
  • [ ] Binary search tree
  • [ ] AVL tree or Red-Black tree
  • [ ] Hash table
  • [ ] Min/max heap
  • [ ] Trie
  • [ ] Graph (adjacency list)
  • [ ] Disjoint set union