Skills.md from Scratch: Build a Skill-Driven Coding Agent

Hosted by Alexey Grigorev

Tue, Jan 13, 2026

3:30 PM UTC (1 hour 30 minutes)

Virtual (Zoom)

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Go deeper with a course

AI Bootcamp: From RAG to Agents
Alexey Grigorev
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What you'll learn

Understand the Skills.md Model

Learn how skills.md is structured and why metadata-first, progressive loading enables scalable, agent-friendly skills.

Implement a Skill Registry System

Build a registry that scans folders, parses metadata, indexes skills, and loads full instructions on demand.

Apply Skills in a Coding Agent

Integrate skill selection and injection into an agent loop to solve real coding tasks using reusable skills.

Why this topic matters

Skill-driven agents are becoming the standard way to scale AI behavior safely and predictably. Understanding skills.md from first principles helps you design transparent, reusable agent logic instead of relying on black-box frameworks. You’ll gain practical system design skills, build a working agent, and learn patterns directly applicable to modern AI tooling and team workflows.

You'll learn from

Alexey Grigorev

Principal Data Scientist | Book Author | Instructor to 100k+ Students World-Wide

Founder of DataTalks.Club · Creator of the Zoomcamp Series · ML Engineer & Author


Alexey Grigorev is the founder of DataTalks.Club and the creator of the popular Zoomcamp series. With 15 years of experience in software engineering and over 12 years in machine learning, he has built and deployed large-scale ML systems at companies like OLX Group and Simplaex.


An advocate for practical, hands-on education, Alexey has taught over 100,000 students, focusing on a code-first approach to help learners build real-world skills.


In the past, he was an active participant in data science competitions. A Kaggle Master, Alexey has achieved top rankings in several challenges, including 1st place in the NIPS'17 Criteo Challenge and 2nd place in the WSDM Cup 2017: Vandalism Detection.


He is also the author of several technical books, including the widely read Machine Learning Bookcamp.

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