Cookbook, JSON templates, AI prompts and docs for cutcli — the CapCut / Jianying (剪映) draft CLI. Generate editable video drafts from code, Cursor, Claude Code or any MCP agent.
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
DIO PRO Vitalício Week: Agentes de IA
Learn what AI skills are and how to design, structure, and use them in real-world agent systems.
Build the system that prompts your agents. A teaching repo for loop engineering: chapters, an annotated reading list, copy-paste prompts, a runnable example, and a portable agent skill
This guide will help you set up a basic MCP (Model Context Protocol) server in .NET, configure it in VS Code, and interact with it using Copilot Chat.
Vlad's Playbook — a 48-chapter operator field manual where every artifact is live, clickable, and forwardable. 31 interactive widgets, a self-updating AI radar, hand-verified model leaderboards, embedded case studies — and the repo runs the agent workflow the book teaches.
Open-source cookbook for the Stormy Social Data API and MCP server (Model Context Protocol) — one REST API for the TikTok API, YouTube API, Instagram API, LinkedIn API, X (Twitter) API and Reddit API. Search creators, resolve profiles, read posts and find verified emails from Claude, Cursor, Codex, ChatGPT or curl. One key, no scrapers.
Learn it. Build it. Ship it for others.
This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.
🏰 An exciting game of programming and Artificial Intelligence
The definitive OpenAI, Claude, MCP, Harness, Evals, and Production Agent Systems learning roadmap.
Find · Leverage · Optimize · Win — an evidence-led SEO playbook for the AI-search era. 72 docs · 42 AI prompts · 27 diagrams · 15 sourced 2026 stats. CC BY 4.0.
Example implementation of MCP Streamable HTTP client/server in Python and TypeScript.
Bilingual (中文+EN) ML / LLM / diffusion / agent interview cheat sheets for AI 秋招 — generated by ARIS /interview-cheatsheet, rendered by /render-html into single-file HTML, reads anywhere — plus a CV→DBLP-fact-checked academic homepage generator and hand-authored long-form blogs 🌱
Specification and documentation for Agent Skills
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
A comprehensive set of samples of creating and using MCP servers and clients with .NET
Quarkus LangChain4J Workshop that demonstrates both single AI service capabilities and Agentic AI orchestration
An MCP Multimodal AI Agent with eyes and ears!
Context Engineering: Build Consistent, Accurate, Predictable AI Systems
The Developer's Guide to AI - A Field Guide for the Working Developer
From Java Dev to AI Engineer: Spring AI Fast Track