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My personal directory of skills, straight from my .claude directory.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Examples and guides for using the Gemini API
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…
Fast and accurate automatic speech recognition (ASR) for edge devices
Implement a reasoning LLM in PyTorch from scratch, step by step
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Code for openai.fm, a demo for the OpenAI Speech API
A lightweight yet powerful audio-to-MIDI converter with pitch bend detection
Best of the Best | AI Ecosystem Dashboard An autonomous multi-agent system that curates and visualizes the top-trending AI courses, research papers, and tutorials. The Best of the Best project is …
The official Python SDK for Model Context Protocol servers and clients
A rich git commit graph in your terminal, like magic 📚
💥 Create key bindings that stick. WhichKey helps you remember your Neovim keymaps, by showing available keybindings in a popup as you type.
Multiple cursors plugin for vim/neovim
Collections of awesome neovim plugins.
Vim-fork focused on extensibility and usability
all of the workflows of n8n i could find (also from the site itself)
A Conversational Speech Generation Model
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Beta release of Archon OS - the knowledge and task management backbone for AI coding assistants.
Build resilient language agents as graphs.
A series of math-specific large language models of our Qwen2 series.
21 Lessons, Get Started Building with Generative AI
📚 Freely available programming books
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.