In the latest tutorial from Analytics Vidhya, viewers dive into the two core skill types that power Claude Co-work automations: Global Skills and Workspace Skills. Understanding the difference between universal instructions and project-specific rules is key to building a highly efficient AI workflow.
Global Skills are routines that apply across all projects and sessions—such as meeting note formatters or data cleanup processes. They travel with you everywhere, ensuring consistency.
Workspace Skills, on the other hand, are domain-specific logic tailored to a single project or client. They allow for precision where it matters most.
When conflicts arise between a Global and Workspace skill, specificity wins—Workspace Skills take precedence. The tutorial also covers how to manage and configure these skills in the "Customize" section, where you can toggle them on/off and reorder them for priority. Best practices for trigger phrases ensure Claude always selects the right skill for the task.
By structuring an "AI Skills library" effectively, users can balance flexibility with project-level accuracy, eliminating repetitive prompts and streamlining automation.