21. Mastering Skill Chaining: How to Build Connected AI Workflows in Cowork

Why run one skill at a time when you can build an entire assembly line? In this video, we dive into Skill Chaining—the most advanced way to use Co-work to automate complex, multi-step workflows. ⛓️🤖 Skill chaining allows you to connect multiple AI skills so that the output of one naturally becomes the input of the next. Instead of manually copying and pasting results between chats, you can trigger a full system with a single prompt. What you will learn in this video: ✅ The Logic of Chaining: How Co-work uses the active context window to hand off data between skills. ✅ 3 Essential Design Patterns: Sequential: Step-by-step linear workflows. Conditional: Decision-based branching (e.g., if X, then Skill A; if Y, then Skill B). Parallel: Running multiple independent tasks on the same data simultaneously. ✅ Real-World Case Study: Watch us build an AI Hiring Assistant that analyzes a resume, scores the candidate, and generates a final hiring decision—all in one go. ✅ The "Handoff" Rule: Why structured output is the secret to preventing chain failures. ✅ Common Pitfalls: How to avoid vague instructions and overlapping triggers. Why Skill Chaining? This isn't just about saving time; it's about building Intelligence Systems. Whether you are triaging emails, reviewing legal contracts, or processing data, skill chaining turns Co-work into a high-speed decision engine.