Claude Skills: The NEW Way to Build AI Agents (Live Tutorial)
The Startup Ideas Podcast
Intro
Greg introduces Amir and outlines the episode: Claude Skills, demos, and a live build of a tweet-to-newsletter converter.
In this episode, Amir takes us through how to use Claude Skills to build digital employees. We cover practical demos including an A/B testing idea agent, marketing insight analyzer, and a live build of a tweet-to-newsletter converter. You'll learn what Claude Skills actually are, why they represent the biggest leap since sub-agents, and how to build them yourself—even if you've never written a custom AI workflow before.
Timestamps
00:00 – Intro
01:05 – What are Claude Projects
02:40 – Sub-agents in Claude Code explained
03:34 – Introducing Claude Skills
05:58 – Context rot and the performance degradation problem
08:01 – Why matter Claude Skills Matter
11:08 – Building a UTM link generator with Artifact Builder
17:41 – Claude Skill Demo: A/B test generator for website optimization
20:32 – Claude Skill Demo: Marketing analytics insights from campaign data
23:40 – Building a Claude Skill: Creating a tweet-to-newsletter converter skill
30:32 – Final Thoughts on Claude Skills
30:58 – Why AI adoption is falling and how better prompting solves it
Key Points
Claude Skills are automated workflows that apply globally or per-project, pulling context only when relevant to specific tasks
Skills solve the "context rot" problem where too much context degrades LLM performance and increases hallucination
You can create custom Skills using markdown files with instructions, reference documents, and executable scripts
The tweet-to-newsletter converter built live demonstrates Skills' ability to match tone and style with minimal training
Poor AI fluency and prompting—not the tools themselves—explain why enterprise AI adoption is declining
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