Which programming languages does this skill support?

The skill provides patterns and implementations for several major languages, including Python, Java, C++, and JavaScript.

Does this skill help with technical interviews?

Absolutely. It includes an interview-specific framework, common problem sets, and tips on communicating trade-offs to help you succeed in technical evaluations.

Can this skill help with Big O analysis?

Yes, it includes a complexity quick reference and helps you analyze and improve the time and space complexity of your algorithmic solutions.

How long does it take to complete the algorithm roadmap?

The roadmap is designed to take between 8 to 12 weeks, moving from basic sorting and searching to advanced topics like dynamic programming and graph theory.

Algorithms & Problem Solving Master

Name: Algorithms & Problem Solving Master
Author: pluginagentmarketplace

bypluginagentmarketplace

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학습 및 문서화

Master algorithm design, common patterns, and optimization techniques to solve complex computational challenges efficiently.

소개

This skill transforms Claude into a specialized algorithms expert, guiding users through fundamental and advanced computer science concepts. It provides a structured roadmap for mastering pattern recognition—from dynamic programming and greedy algorithms to graph traversal—while offering a systematic problem-solving framework. Whether you are preparing for technical interviews or optimizing production code, this skill helps identify optimal time and space complexity, handle edge cases, and implement clean, performant solutions across multiple programming languages.

주요 기능

Multi-language implementation support for Python, Java, C++, and JavaScript
Step-by-step problem-solving framework and logic verification
Big O complexity analysis and optimization strategies
Troubleshooting guide for TLE, edge cases, and stack overflow issues
1 GitHub stars
Pattern-based algorithm design (DP, Greedy, Backtracking, etc.)

사용 사례

Learning computer science fundamentals through a structured educational roadmap
Preparing for technical coding interviews with pattern-based guidance
Optimizing existing codebase performance by reducing time/space complexity

소개

주요 기능

Multi-language implementation support for Python, Java, C++, and JavaScript
Step-by-step problem-solving framework and logic verification
Big O complexity analysis and optimization strategies
Troubleshooting guide for TLE, edge cases, and stack overflow issues
1 GitHub stars
Pattern-based algorithm design (DP, Greedy, Backtracking, etc.)

사용 사례

Learning computer science fundamentals through a structured educational roadmap
Preparing for technical coding interviews with pattern-based guidance
Optimizing existing codebase performance by reducing time/space complexity