What Are the Best AI Skills for “prompt engineering”?
8 skills tagged “prompt engineering”, each forged from a YouTube creator's methodology.
Cloud Guru LLM Engineering Production Framework
Apply a complete, layered methodology to design, build, harden, and deploy production-grade LLM systems — from raw transformer mechanics through agents, RAG, security, cost control, and enterprise integration — without hand-waving or magic.
19 Sept 2026Rajeev Kanth | BEPECRajeev Kanth Agentic AI Architecture Stack
Design and build a production-ready AI agent by applying a structured 7-layer architecture that ensures autonomy, tool integration, memory, and safety guardrails.
12 Sept 2026Nishant ChaharChahar Zero-to-80 AI Mastery Roadmap
Apply a structured 12-week progression to go from AI beginner to confident AI generalist who can automate work, build agents, and ship apps without writing code.
4 Sept 2026The NeuronNeuron 5-Level AI Proficiency Stack
Move from total AI beginner to effective daily user by building capability across five concrete levels — projects, prompting, skills, automations, and agents — in the right sequence.
29 Aug 2026Nick SaraevSaraev AI Agent Orchestration System
Deploy multi-agent architectures that parallelize work across specialized AI models, self-correct over time, and produce higher-quality outputs than any single-model approach.
22 Aug 2026briBri's Production Prompt Engineering Method
Eliminate inconsistent AI agent behavior by applying a systematic set of prompt design rules and audit practices that produce repeatable, predictable outputs in production.
7 Aug 2026JavaScript MasteryAdrian's Vibe Engineering Build Framework
Build any full-stack AI web app by having the AI write its own detailed implementation prompts, which you approve before a single line of code is written — eliminating back-and-forth and producing consistent, production-quality results.
7 Aug 2026DataTalksClub ⬛Grigorev RAG Application Build Framework
Build a working Retrieval Augmented Generation (RAG) application from scratch that answers domain-specific questions using a private knowledge base — without retraining any LLM.
17 July 2026