The Startup Ideas Podcast · Greg Isenberg

Claude Skills: The NEW Way to Build AI Agents (Live Tutorial)

·33 min·3 clips

Amir reveals how Claude Skills prevent AI hallucination with custom scripts for accurate data analysis.

Claude Skills are the main event. Amir opens with a practical walkthrough: what they are, why they matter, and how people can use them at work. The pitch stays hands-on. He ties Skills to digital employees, then moves into examples like A-B testing ideas, marketing insight work, data analysis, and document creation. The problem will sound familiar. People ask AI to build or analyze something, give it thin instructions, then blame the model when the answer misses. Amir argues for a tighter setup. A Skill is a defined packet of instructions, context, and expectations that Claude can follow for a repeatable job. That changes the feel of the workflow. Instead of throwing a broad prompt at a model, the user builds a specific helper for work they keep doing. Marketing gets the cleanest example. Weekly reporting can become a Skill when the person explains what they need, what they are looking for, and the business context behind it. The comparison is easy to grasp. The host frames it like hiring a junior teammate who needs tools, context, and a clear way to operate. Amir agrees, then pushes the point further: Skills make more sense when users stop overloading the model and build context over time. The live tutorial pace helps. The conversation keeps moving from definition to use case to workplace adoption, with quick resets along the way. Amir also makes a broader adoption point. AI usage may be dipping because companies have not given people enough education, enablement, or fluency. The fix is not more hype. It is better training, clearer internal support, and tools that turn repeated work into structured AI assistance.

As heard by us

A practical session on cloud skills and how to use them for repeatable work, not vague AI theater.

The episode follows Amir as he moves through cloud skills and the idea of using them to build digital employees. He sets skills against projects and sub-agents, then grounds the discussion with examples like an A-B testing idea agent, a marketing insight agent, and a live build…

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Why you'd press play

Watch a live skills build turn AI advice into something you can actually use.

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