patchy631/ai-engineering-hub
AI Engineering Hub offers in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for all skill levels.
Awesome MCP › MCP Resources & Educational Materials
The project "awesome-agent-skills" is a curated repository that compiles a comprehensive list of skills, tools, tutorials, and capabilities designed specifically for AI coding agents such as Claude, Codex, Copilot, and VS Code. It serves as a centralized resource for developers and users to explore and utilize various agent skills that enhance the functionality and efficiency of AI assistants in coding and document processing tasks. Agent Skills in this context are defined as instructional text files (SKILL.md) that guide AI assistants on how to perform specific tasks without requiring the AI to have prior knowledge of those tasks. This modular approach allows AI agents to dynamically load and use skills as needed, making them faster, lighter, and more versatile across different platforms. The skills are compatible with multiple AI agents, including Claude Code, Claude.ai, OpenAI Codex, GitHub Copilot, and VS Code, with official documentation links provided for each. The repository categorizes skills into official skills from Claude, OpenAI Codex, and HuggingFace, as well as community-maintained skills and collections. Official Claude skills focus on document processing tasks like editing Word documents, manipulating spreadsheets, generating slides, and extracting data from PDFs. OpenAI Codex skills are organized by scope, ranging from repository-specific to system-wide skills. HuggingFace skills include dataset creation, model evaluation, LLM training, and research paper publishing. Community skills cover a wide range of functionalities, including document processing, development and code tools, data analysis, and integration automation. The project also provides tutorials, guides, and community resources to help users create, use, and share skills effectively. This repository is valuable for anyone looking to extend the capabilities of AI coding agents through modular, shareable, and easy-to-understand skill instructions.
https://github.com/heilcheng/awesome-agent-skills
AI Engineering Hub offers in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for all skill levels.
This repository offers a comprehensive collection of over 50 tutorials and implementations for Generative AI Agent techniques, ranging from basic conversational bots to complex multi-agent systems,...
This repository offers end-to-end, code-first tutorials for building and deploying production-grade Generative AI agents, scaling from prototype to enterprise.
An open-source curriculum designed to teach the concepts and fundamentals of the Model Context Protocol (MCP) with practical coding examples in multiple programming languages.
A comprehensive collection of practical examples, tutorials, and tools for building powerful LLM-powered AI applications, including chatbots, agents, and workflows, with a focus on the Model Context Protocol (MCP).
The Model Context Protocol project provides a standardized specification and schema for managing model context to enable interoperability in model-driven systems.
A comprehensive curated collection of free resources to learn AI, Machine Learning, Large Language Models, AI Agents, and the Model Context Protocol from scratch.
A comprehensive and detailed guide for Claude Code CLI tool, covering all commands, installation, configuration, and Model Context Protocol (MCP) integration for optimized use.