ai-agent

Master LLM-Algo with llm-algo-leetcode

Get LLM algorithm practice with theory and test cases. Covers CUDA and Triton.
464 stars63 forksJupyter NotebookGuide quality 8/10Updated 8/7/2026100% free · open source
What it does

The llm-algo-leetcode tool provides a practice lab for startup founders to learn and implement large language model algorithms with theory, solutions, and test cases, including CUDA and Triton.

When to use it
  • When you need to improve your understanding of large language model algorithms
  • When you want to practice implementing algorithms with real test cases
  • When you need a resource to learn CUDA and Triton for large language model development
Ready-to-paste prompt
Run the `llm_algo_leetcode.ipynb` Jupyter Notebook to start the practice lab and explore the large language model algorithms
Heads up: Make sure you have the necessary dependencies installed, including Jupyter Notebook, and a compatible CUDA and Triton environment to run the GPU-accelerated examples
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/llm-algo-leetcode && curl -fsSL https://workflowstacks.com/api/skills/llm-algo-leetcode/claude-skill -o ~/.claude/skills/llm-algo-leetcode/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions
Details
Creator
datawhalechina
Language
Jupyter Notebook
Category
ai-agent
Published
4/1/2026

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