coding-interview-prep

Guide coding interview preparation with a 7-step problem-solving framework.

1|Updated Mar 6, 2026

Search Tags:#problem solving #algorithms #complexity analysis #data structures #interview prep #coding interview

Ready to run

npx skills add https://github.com/chavangorakh1999/sde-skills --skill coding-interview-prep

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: coding-interview-prep
Source: https://github.com/chavangorakh1999/sde-skills/tree/main/sde-career/skills/coding-interview-prep
Command: npx skills add https://github.com/chavangorakh1999/sde-skills --skill coding-interview-prep

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you prepare for coding interviews by providing a structured framework, common patterns, and strategies for tackling algorithmic problems under pressure.

Core Features & Use Cases

7-Step Problem-Solving Framework: A systematic approach to understanding, solving, and analyzing coding challenges.
Pattern Recognition: Guides you to identify common algorithmic patterns (Sliding Window, Two Pointers, BFS/DFS, DP) based on problem descriptions.
Complexity Analysis: Provides clear explanations and examples for time and space complexity.
Interview Strategies: Offers tips for handling tricky situations, clarifying questions, and dealing with pressure.
Use Case: When faced with a new LeetCode problem, use this Skill to guide your thought process through the 7-step framework, identify the most suitable pattern, and articulate your solution clearly.

Quick Start

Prepare for a coding interview by practicing the 7-step framework on the problem 'Reverse Linked List'.

Frequently Asked Questions about coding-interview-prep

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

FAQPage Schema

How do I prepare for coding interviews using a structured problem-solving framework?▼

Coding interview preparation requires a 7-step problem-solving framework that systematically guides you through understanding, solving, and analyzing algorithmic challenges. It helps structure your thought process when facing new problems.

What is the best way to identify algorithm patterns like sliding window and dynamic programming?▼

Pattern recognition for common algorithms like sliding window, two pointers, BFS/DFS, and dynamic programming is achieved by analyzing problem descriptions. This guides you to identify the most suitable pattern for the given challenge.

How do I analyze time and space complexity for algorithmic problems?▼

Complexity analysis provides clear explanations and examples for calculating time and space complexity. It helps you evaluate algorithm efficiency and articulate performance constraints during technical interviews.

What strategies help with handling pressure and clarifying questions during a coding interview?▼

Interview strategies offer tips for handling tricky situations, clarifying questions, and dealing with pressure. These techniques help you maintain composure and communicate effectively while solving algorithmic problems.

How do I practice coding interview preparation on a specific problem like Reverse Linked List?▼

Practice coding interview preparation by applying the 7-step framework to the 'Reverse Linked List' problem. This use case demonstrates how to guide your thought process and articulate your solution clearly.