Learn Leetcode daily with Claude code mentor

A developer built Claude with LeetCode, a DSA learning system that automates daily algorithm education using Claude code inside a GitHub repository. When a user submits an accepted LeetCode solution, a GitHub workflow fetches the account data and commits the problem to the repo, while Claude runs on a fixed schedule to generate a full structured lecture covering the DSA topic, brute force through optimal solutions, complexity analysis, and a YouTube video packaged in a GitHub Issue. The system also includes a DSA Mentor skill that provides Copilot with full context for lecture content, and a daily summary report generated by a GitHub Copilot workflow.

This is a submission for the GitHub Finish-Up-A-Thon Challenge After being abandoned for several months, I have come back to build and complete Claude with LeetCode, which is a DSA learning system that automates daily algorithm education with Claude code directly inside GitHub repo. Every time I submit an accepted solution on Leetcode, the Github workflow fetches my Leetcode account data and commit the problem with the solution to the repo. Claude will then run on a fixed schedule and automatically generates a full structured lecture, covering the DSA topic, brute force through optimal solutions in Python, complexity analysis, and a YouTube video packaged in a GitHub Issue. This project means a lot to me because it merges two things I care about daily: now not only can I solve Leetcode problem, my solution is automatically analyzed by a powerful AI agent mentor. Link to my project: https://github.com/Stewie-pixel/claude-with-leetcode.git https://github.com/Stewie-pixel/claude-with-leetcode.git Link to my application walkthrough: https://youtu.be/ClWdW3v9JJ0 https://youtu.be/ClWdW3v9JJ0 At first this was only a project to store the Leetcode questions I have solved. The process required manual pushing the problem to the repo and nothing special. Later I have added the automation workflow to fetch data from my Leetcode account, Claude will be prompted like an experienced dsa mentor from Claude and skill.md file to give a thorough analysis on that problem. And at the end of the day, Github Copilot workflow will give a daily summary report to cover my daily progress. I built a DSA Mentor skill that gives Copilot the full context of what a lecture should contain: topic identification, the brute force to optimal approach structure, complexity analysis requirements, and the YouTube search step. Without Copilot, writing the dsaMentor.js orchestration logic and getting the agent to consistently produce structured markdown output would have taken significantly longer. I then use Copilot cli to help me generate a daily repo status report to cover my daily progress.