algorithm-study
Algorithm templates, data structures, and coding problem solutions
All Skills in This Repository (8)
Pure Emerald Level Indicatorsxlsx
Create and edit Excel workbooks with formulas using openpyxl and pandas.
canvas-design
Translate a design philosophy into a single-page PDF or PNG canvas.
pptx
Automate PowerPoint creation, editing, and analysis with scripts.
docx
Create, edit, and redline DOCX files with tracked changes and comments.
markitdown
Convert diverse file formats to Markdown via Python API and CLI.
Extract text and tables from PDFs using Python libraries.
skill-creator
Generate Claude skill skeletons with templates and packaging tooling.
youtube-downloader
Download YouTube videos with configurable quality and format options.
Frequently Asked Questions
FAQPage SchemaHow 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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