Does this skill provide time and space complexity analysis?

Yes, every implementation includes O-notation annotations for both time and space complexity to help you choose the most efficient approach for your specific data size.

What specific hashing techniques does this skill support?

It covers frequency counting, duplicate detection (including in-place marking), LRU cache implementation, and anagram grouping using various hashing strategies.

Is this skill suitable for production code?

Absolutely. It follows production-grade specifications (v2.0.0) with strict parameter validation, retry logic, and logging hooks to ensure reliability in real-world applications.

Can I use this for coding interview preparation?

Yes, this skill is part of a Data Structures and Algorithms roadmap designed to provide industry-standard best practices and common patterns used in technical assessments.

Hashing Techniques & Data Structures

Name: Hashing Techniques & Data Structures
Author: pluginagentmarketplace

bypluginagentmarketplace

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学習とドキュメンテーション

Implements high-performance hash-based algorithms and data structures like LRU caches and frequency counters for efficient data lookup.

The Hashing Techniques skill provides Claude with specialized capabilities for managing complex data organization tasks using hash-based logic. It enables the implementation of production-grade frequency counting, duplicate detection, and advanced structures like the Least Recently Used (LRU) cache with O(1) performance. Designed for developers working on algorithm optimization and data processing, this skill includes detailed complexity annotations, multiple implementation patterns such as bucket sort, and pre-built unit tests to ensure robust, memory-efficient code for production environments.

主な機能

01Memory-efficient duplicate detection using index marking

022 GitHub stars

03Frequency counting with O(n) bucket sort optimization

04Advanced anagram grouping via character counting and sorting

05LRU Cache implementation with constant time operations

06Time and space complexity annotations for performance auditing

ユースケース

01Solving complex algorithmic challenges involving frequency and sets

02Implementing cache eviction policies for system memory management

03Optimizing data retrieval performance in backend services

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add pluginagentmarketplace/custom-plugin-data-structures-algorithms hashing

For use in Claude.ai and ChatGPT

Download Skill

主な機能

01Memory-efficient duplicate detection using index marking

022 GitHub stars

03Frequency counting with O(n) bucket sort optimization

04Advanced anagram grouping via character counting and sorting

05LRU Cache implementation with constant time operations

06Time and space complexity annotations for performance auditing

ユースケース

01Solving complex algorithmic challenges involving frequency and sets

02Implementing cache eviction policies for system memory management

03Optimizing data retrieval performance in backend services

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add pluginagentmarketplace/custom-plugin-data-structures-algorithms hashing

For use in Claude.ai and ChatGPT

Download Skill