Claude Code 101: Learn what Skills, Agents, and Hooks are

Part of Build Your AI Product Analyst

Hosted by Shane Butler, Sravya Madipalli, and Hai Guan

1,242 students

In this video

What you'll learn

Understand Claude Code skills, agents, and hooks

In plain English, what each Claude Code building block does and why it exists

Know which building block to reach for

Simple rules for when you need a skill versus an agent versus a hook versus a tool connection.

Watch the real AI analyst system we teach

A live look at the AI Analyst Plus repo and the depth you build in the course.

Why this topic matters

Claude Code has a lot of moving parts, and most people stall before they start because they cannot tell a skill from an agent from a hook. The pieces are simple once someone maps them for you. This session is that map: what each building block is, when to use it, and how they orchestrate into a working AI analyst.

You'll learn from

Shane Butler

Co-founder, AI Analyst Lab

Shane Butler is a Co-Founder of the AI Analyst Lab. Previously he led evaluation strategy for AI product development in the legal tech domain. He has more than ten years of experience in product data science and causal inference, with prior roles at Stripe, Nextdoor, and PwC. Shane is also the co-host of the AI podcast Data Neighbor, where he interviews product, data, and engineering leaders who are pioneering the next generation of data science and analytics in an AI-driven landscape.

Sravya Madipalli

Senior DS Leader (Ex-Microsoft)

Sravya Madipalli is a Senior Manager of Data Science with 14+ years of experience helping teams make better decisions with data. She has built and led data science and product analytics teams at Microsoft, eBay, Nextdoor, and Superhuman (prev. Grammarly), working closely with product, engineering, marketing, and leadership. Her expertise spans experimentation, metrics design, modeling, analytics, and translating complex user behavior into clear, actionable insights.

Hai Guan

Head of Data at Ontra, Ex-LinkedIn

Hai Guan leads the data organization at Ontra, the leading legal tech AI solutions for private markets. He previously led Data Science & Analytics at LinkedIn, Nextdoor, Pinterest, and Meta. He's spent a decade teaching product development teams how to ask questions that actually drive decisions—and now teaches how to combine that judgment with AI to move 10x faster.

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Agentic Analytics: Build an AI Analyst You Can Trust
Shane Butler, Sravya Madipalli, and Hai Guan
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