shareAI-labshareAI-labOfficialยท4 Agent Skills Included

learn-claude-code

Learn to build AI agent harnesses from scratch

Teaches you how to build the harness layer around AI models, from a minimal agent loop to full multi-agent teams. Covers tool design, subagents, task systems, cron scheduling, MCP plugins, and goal loops with runnable Python examples. Removes the guesswork from agent engineering with step-by-step lessons, diagrams, and tested code in three languages.
npx skills add shareAI-lab/learn-claude-code --all -g -y

All Skills in This Repository (4)

Pure Emerald Level Indicators

Frequently Asked Questions

FAQPage Schema
How to install learn-claude-code?โ–ผ

Run `npx skills add shareAI-lab/learn-claude-code --all -g -y` in your terminal to install all skills in this suite globally.

What is an agent harness?โ–ผ

A harness is the code that gives a model tools, knowledge, context, and permissions so it can act in a real environment. This course teaches you to build that layer step by step.

Do I need to be an expert to follow this course?โ–ผ

No. Each lesson starts from a simple runnable Python file and builds up gradually, so basic Python knowledge is enough to get started.

What topics does this course cover?โ–ผ

It covers the agent loop, todo tracking, cron scheduling, agent teams, MCP plugins, goal loops, and a fully integrated harness, plus skills for PDF processing, code review, and agent building.

Is the course available in other languages?โ–ผ

Yes. Every lesson includes full documentation in English, Chinese, and Japanese.

Related Repositories in Education & Research

View All in Education & Researchโ†’