clrs-algorithms

Provide CLRS-aligned pseudocode and complexity analysis for data structures and algorithms.

14|Updated Jan 30, 2026

Search Tags:#education #algorithms #pseudocode #references #data-structures #clrs

Ready to run

npx skills add https://github.com/grndlvl/software-patterns --skill clrs-algorithms

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: clrs-algorithms
Source: https://github.com/grndlvl/software-patterns/tree/main/.claude/skills/clrs-algorithms
Command: npx skills add https://github.com/grndlvl/software-patterns --skill clrs-algorithms

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

CLRS-based reference content for data structures and algorithms.

Core Features & Use Cases

Language-agnostic pseudocode coverage for linear structures, trees, graphs, and advanced data structures
Comprehensive CLRS-aligned explanations, complexity guidance, and implementation templates
Quick-start examples and decision guides for learning, design, and analysis

Quick Start

Provide a CLRS-style pseudocode example for a chosen data structure or algorithm.

Frequently Asked Questions about clrs-algorithms

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I write language-agnostic pseudocode for standard data structures and algorithms?▼

Language-agnostic pseudocode standardizes algorithm design by providing portable templates for linear structures, trees, graphs, and hashing. You receive CLRS-aligned complexity analysis and implementation guidance independent of specific programming languages.

What is the best way to analyze algorithm complexity for graph and tree traversal?▼

Algorithm complexity analysis for graph and tree traversal uses CLRS-aligned templates to evaluate time and space requirements. These decision guides help compare data structure performance and select optimal implementations for specific design contexts.

Can I use CLRS reference content for advanced data structures like hashing and graphs?▼

CLRS reference content supports advanced data structures including hashing, graphs, and trees with comprehensive coverage. It provides standardized explanations, complexity guidance, and implementation templates for designing and analyzing complex algorithms.

How do I get a quick-start example for a specific data structure or algorithm?▼

Quick-start examples are generated by requesting a CLRS-style pseudocode template for your chosen data structure or algorithm. This provides immediate implementation guidance with standardized complexity analysis for learning and development.

Does this algorithm reference cover linear structures and trees for software engineering?▼

This algorithm reference covers linear structures, trees, graphs, and advanced data structures for software engineering. It provides CLRS-based explanations and portable templates that support both educational learning and practical development implementation.

When do I need CLRS-style complexity analysis templates for algorithm implementation?▼

CLRS-style complexity analysis templates are needed when designing, analyzing, or implementing algorithms across multiple data structure types. They provide standardized guidance for evaluating linear structures, trees, graphs, and hashing performance.