#beginner

Use when the user wants to learn AI Agents from scratch, asks where to start, wants beginner tutorial recommendations, or pastes a cwyz.com tutorial link and says 'walk me through this one'. First asks three multiple-choice questions about the user's goal, tools and computer, then picks suitable tutorials from CWYZ's free beginner path and tutorial list and walks through them step by step. The Agent runs the prompts in the tutorials and asks before installing software or spending money. When a section needs unlocking, it points the user to unlock it on the site with credits and does not work around it. It can save learning progress and suggest the next tutorial. Use case: One line: have your AI agent pick free CWYZ beginner tutorials for your goal and walk you through them step by step

Beginner tutorial: get Claude Code or Codex ready, ask it in one sentence to install Creator Generalist and the free software it needs, then describe what you want in plain words. Answer a few multiple-choice questions, check a preview, and say where to change things if you are not satisfied. Includes 4 prompts you can copy directly.

Learning something new used to mean getting through a steep entry phase first. Now you can have an Agent take you straight to a result. Fixed steps like commands and configuration can be written into a Skill and handed off, so you don't have to memorize them. But checking the result is something you always have to do with your own head.

Use when the user doesn't know Git and you need to create, edit or write files in a folder or code, or when the user says save a snapshot, show what changed, revert, upload to GitHub, or merge. Before acting, save a snapshot first; start new features on a branch; after changes, report in plain language with how to undo; always ask before uploading, publishing, merging, or any action that could discard changes; secrets never go into the repository. Use case: Let the Agent manage every change for you when you don't know Git: snapshot before changes, explain after, roll back if something breaks, ask before uploading.

A beginner tutorial: learn only 5 concepts (repository, commit, branch, cloud backup, revert), have the agent check Git and GitHub, and install a Git safety-net Skill. From then on, say in plain words to save, revert or upload, and it will always save first, explain changes afterwards and ask you before key actions. Finally, rehearse breaking something and recovering it. Includes 3 copy-ready prompts.

A beginner tutorial: Obsidian is one of the better choices for a personal knowledge base today. Four steps to connect an agent such as Claude Code to your notes: install and create a vault, enable the official command line, install the Obsidian Skill, then have it check your notes before answering and save new conclusions back. Includes three ready-to-copy prompts.

A beginner's guide: set a role and constraints first, describe the goal as the finished result, ask step by step, add a line against made-up facts, then have the AI score its own answer and revise it. All five rules come with copy-ready wording and one combined template.

A beginner's tutorial: the open-source PPT Master lets Claude Code and other AI tools generate genuinely editable PowerPoint files on your computer, with charts, tables, and shapes you can keep editing. Three steps to get started: install Python, download the project, and drop in your materials. Includes the confirmation workflow, export location, and things to watch out for.

A plain-language rewrite of Microsoft's open-source AI Agents for Beginners 19 lessons: 5 lessons are readable by general users, and 14 are for developers who want to build their own agents. Each lesson has key points, exercises, and a tutor prompt you can hand to an agent.

A beginner tutorial that explains in plain language what an AI agent is, what parts it is made of, the common types, and which tasks suit an agent and which do not need one.

Beginner tutorial: Regular RAG 'retrieves once, then answers', while Agentic RAG 'checks its own results after retrieving, and if they fall short, rewrites the query and searches again'. Covers the loop, suitable scenarios, and things to watch out for.

Intermediate tutorial: metacognition means thinking about how you think. Have the Agent evaluate its own performance, catch mistakes, and adjust its approach, with a travel Agent example.

A beginner tutorial: agents without memory start from scratch every time. Explains the differences between working, short-term, and long-term memory, how to store them, and how memory helps agents get better with use.

Beginner tutorial: editonny is a free, open-source video editing skill. Transcription and rendering run on your own computer. Install it with one sentence, use plain language to trim pauses, remove slip-ups, add captions, switch to vertical format, and turn a passage into an animation. Includes how to read the settings card, default settings, and things to watch out for.

A beginner tutorial: install the desktop app, set the working directory, permission mode and Browser Subagent before you start, then learn common commands like /plan, /boost and /browser, connect Notion and Obsidian, and use the Flash model to save quota.

Hand this article to your agent and it can write a game for you. Beginner tutorial: install the free Godot engine, use an agent like Claude Code to write GDScript, and build a dodge game you can play, score, and restart. Covers installation, creating a project, prompts for the agent, running it, having the agent check errors from the command line, and making changes step by step.