Claude Skills: Build Your Own AI Employees
Greg Isenberg demonstrates how to create and deploy Claude Skills—customizable AI instructions that function as specialized "AI employees" for specific tasks. The episode walks through building a conversion-focused copywriting review skill from scratch, showing how skills provide consistency and higher-quality outputs compared to standard Claude conversations by maintaining context and expertise across multiple interactions.
Key takeaways
- • Claude Skills must be manually enabled in settings under capabilities, and users can create them through guided conversations, written instructions, or file uploads.
- • Skills are superior to projects for permanent, reusable workflows because they persist across different campaigns and contexts rather than having defined start and end dates.
- • The skill creation process uses simple markdown files (.md format) to keep the system accessible to non-technical users while maintaining full functionality.
- • Effective skills require iterative refinement—start with a basic version and improve it over time by editing instructions, adding frameworks, and testing against real scenarios to make Claude think like an expert rather than just follow steps.
- • The copywriting skill example demonstrates before-and-after suggestions with psychological rationale and prioritized fixes (critical, high, medium, low), delivering more actionable feedback than generic critiques.
- • Skills can be exported, shared, and uploaded back into Claude, enabling systematic reuse and collaboration across teams and projects.
Recommendations (2)
"You will be able to get way more out of Claude if you use skills. It's just going to get way way more consistent, higher value stuff."
Greg Isenberg · ▶ 0:10
Mentioned (3)
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