Stars
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with C…
🎨 A curated list of awesome resources for digital designers.
The best design tools and plugins for everything 👉
🌟 Curated design resources from all over the world.
A collection of DESIGN.md files analysis by popular brand design systems. Drop one into your project and let coding agents generate a matching UI.
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…
Anthropic's Interactive Prompt Engineering Tutorial
Anthropic's educational courses
21 Lessons, Get Started Building with Generative AI
This repo contains "Databricks Certified Data Engineer Professional" Questions and related docs.
An Awesome List of Open-Source Data Engineering Projects
An opinionated end-to-end data governance implementation.
8 Lessons, Kick-start Your Cybersecurity Learning.
AI education materials for Chinese students, teachers and IT professionals.
Google Research
18 Lessons to Get Started Building AI Agents
12 Weeks, 24 Lessons, AI for All!
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
A python bot to automatically apply all Linkedin,Glassdoor, etc Easy Apply jobs based on your preferences. Auto login, auto fill additional questions, apply automatically!
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for b…
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Microsoft Ignite Learning Path, Train the Trainer materials: Developers Guide to AI
An Open Source Machine Learning Framework for Everyone
Open standard for machine learning interoperability