mattpocock / skills
A set of small, composable agent skills for software engineering workflows, taken from the author's own .agents directory.
mattpocock / skills
K-Dense-AI / scientific-agent-skills
A collection of 177 validated scientific skills for AI agents, covering biology, chemistry, medicine, and data analysis, plus 100+ scientific database references.
f / prompts.chat
Open-source web app and dataset for sharing, discovering, and self-hosting a community library of AI chat prompts.
rohitg00 / ai-engineering-from-scratch
A free, MIT-licensed course of 542 lessons on AI engineering, implementing model internals, retrieval, and agent runtimes from scratch.
addyosmani / agent-skills
A set of production-grade engineering skills and slash commands that guide AI coding agents through spec, plan, build, test, review, and ship phases.
HandsOnLLM / Hands-On-Large-Language-Models
Code examples for the O'Reilly book Hands-On Large Language Models, covering LLM concepts and practical techniques in Jupyter notebooks.
anthropics / prompt-eng-interactive-tutorial
An interactive Jupyter notebook course teaching prompt engineering techniques for Anthropic's Claude models.
byoungd / up
An open, bilingual Chinese-language book-guide on lifelong learning in the AI era, covering English study, AI learning, real projects, and personal recovery.
shanraisshan / claude-code-best-practice
A curated reference of Claude Code best practices covering subagents, commands, skills, hooks, memory, and workflows.
mikeroyal / Self-Hosting-Guide
A large curated guide covering self-hosting tools, hardware, and setup walkthroughs for running software on your own servers.
chiphuyen / aie-book
Companion repository for Chip Huyen's book AI Engineering, with chapter summaries, study notes, prompt examples, and case studies.
NirDiamant / RAG_Techniques
A collection of 42+ runnable Jupyter notebooks, each tutorial covering an advanced technique for Retrieval-Augmented Generation systems.
microsoft / AI-For-Beginners
A 12-week, 24-lesson beginner curriculum covering AI fundamentals, neural networks, computer vision, NLP, and AI ethics with TensorFlow and PyTorch labs.
alirezadir / AIMLInterviews
A study guide and interview-prep curriculum for AI/ML technical roles at big tech, covering coding, ML breadth, system design, and behavioral rounds.
samber / cc-skills-golang
A collection of Go-specific agent skills covering language, testing, security, and observability for AI coding assistants.
NVIDIA / accelerated-computing-hub
NVIDIA's curated collection of interactive GPU computing tutorials, syllabi, and guides covering CUDA, Python, and accelerated libraries.
ed-donner / llm_engineering
Jupyter notebooks and code accompanying Ed Donner's 8-week LLM engineering course, from local models through building LLM applications.
hefengxian / my-ielts
A Vue-based static site collecting IELTS prep materials covering vocabulary, grammar, listening, reading, and writing.
DataTalksClub / machine-learning-zoomcamp
A free, cohort-based course teaching ML engineering: training models, exposing them via APIs, and deploying with Docker, Kubernetes, and AWS Lambda.
hugo2046 / QuantsPlaybook
Python and Jupyter reproductions of quant strategies from Chinese brokerage research reports, covering A-share timing, factors, value and portfolio optimization.
ZeroLu / awesome-seedance
A curated collection of prompts, video-generation techniques, and API guides for ByteDance's Seedance 2.0 AI video model.