What type of hash table implementation is included?

It implements a hash table using the djb2 algorithm for hashing and uses linked list chaining to resolve collisions effectively.

Does it support complex data modeling?

Yes, it includes patterns for structs and nested structures, enabling the creation of complex objects and data models within the C language.

How does this skill handle memory allocation in C?

The skill provides standardized patterns for safe allocation using malloc and realloc, including error checking and corresponding free functions to prevent memory leaks.

Are the data structures optimized for performance?

Yes, the implementations focus on time complexity efficiency, such as O(1) access for arrays and O(1) tail operations for doubly linked lists.

C Data Structures & Memory Management

Name: C Data Structures & Memory Management
Author: TheBushidoCollective

byTheBushidoCollective

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Developer Tools

Implements memory-efficient fundamental data structures in C including linked lists, trees, and hash tables with professional manual memory management.

About

This skill provides Claude Code with specialized implementation patterns for core C data structures, emphasizing manual memory management and efficient pointer manipulation. It covers a comprehensive range of structures from dynamic arrays and complex structs to advanced implementations like collision-resistant hash tables and binary search trees. By utilizing this skill, developers can generate robust, production-grade C code that adheres to ethical and professional development standards, ensuring optimal performance and memory safety in low-level systems programming.

Key Features

Dynamic array implementations with automatic capacity scaling
Singly and doubly linked list structures with O(1) operations
72 GitHub stars
Manual memory management patterns using malloc, realloc, and free
Binary Search Tree (BST) implementations with recursive traversal
Hash table logic featuring djb2 hashing and collision chaining

Use Cases

Implementing custom data organization logic for systems-level utilities
Developing resource-constrained applications for embedded systems
Building high-performance backend systems requiring low-level memory control

About

Key Features

Dynamic array implementations with automatic capacity scaling
Singly and doubly linked list structures with O(1) operations
72 GitHub stars
Manual memory management patterns using malloc, realloc, and free
Binary Search Tree (BST) implementations with recursive traversal
Hash table logic featuring djb2 hashing and collision chaining

Use Cases

Implementing custom data organization logic for systems-level utilities
Developing resource-constrained applications for embedded systems
Building high-performance backend systems requiring low-level memory control