981377660LMT981377660LMTCommunity·8 Agent Skills Included

algorithm-study

Algorithm templates, data structures, and coding problem solutions

Provides ready-to-use algorithm templates and data structure implementations in Python, TypeScript, and Go. Covers strings, trees, heaps, graphs, dynamic programming, and design problems with solved LeetCode examples. Eliminates rewriting common algorithms from scratch during interviews and competitive programming. Includes helper utilities for browser automation, frontend design, and Windows path fixes.
npx skills add 981377660LMT/algorithm-study --all -g -y
Available:

Instructs your AI agent to act as a strict code reviewer that confirms requirements, analyzes data structures, eliminates special cases, and avoids breaking existing behavior before writing code.

All Skills in This Repository (8)

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Frequently Asked Questions

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How to install algorithm-study?

Run `npx skills add 981377660LMT/algorithm-study --all -g -y` in your terminal to install all skills in this repository globally.

What does algorithm-study contain?

It is a large collection of algorithm templates and data structure implementations covering strings, trees, heaps, graphs, and dynamic programming, with solved LeetCode problems in Python, TypeScript, and Go.

Is algorithm-study useful for coding interviews?

Yes. It provides copy-ready templates for classic patterns like KMP, monotonic stacks, segment trees, and sliding windows, which are common in technical interviews and competitive programming.

Which programming languages are supported?

Most templates are written in Python, TypeScript, and Go, with some Rust and Java examples, so you can pick the language that matches your project.

Can I use these templates without deep algorithm knowledge?

Yes. Each template is self-contained and organized by topic, so you can search for a pattern, copy the implementation, and adapt it to your problem.

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