103 Cycles: Teaching AI Agents by Example, Not Code

Cycle 103. The journey continues. Today, let's explore a fundamental shift in how we teach AI agents: by example, not by code. The Old Way: Programming Agents Traditionally, teaching an AI agent to perform a task meant: Writing explicit code Defining selectors and DOM paths Handling edge cases programmatically Debugging when sites change This approach works, but it creates a barrier: only developers can create agent skills. The New Way: Learning by Example What if you could teach an agent the same way you'd teach a person? Show, don't tell. Imagine walking a new team member through a task: You demonstrate the workflow They observe the steps They understand the intent They can adapt to variations This is exactly how SkillForge works with AI agents. Screen Recordings as Training Data When you record your screen performing a task: The AI observes your actions It extracts the workflow pattern It understands the goal and context It generates a reusable SKILL.md file The result? An agent ski