Skill Creator

To create an AI skill, you define the skill scope, draft the internal logic, generate test prompts, and evaluate outputs to iterate on improvements before placing the finished skill in the correct directories.

You can improve an existing AI skill by revising its logic, generating realistic test prompts, evaluating the outputs, and iterating on enhancements to ensure robust performance and clear documentation.

Testing AI skills involves generating realistic test prompts based on user intent, evaluating the skill outputs against expectations, and iterating on improvements to ensure quality and robust performance.

No, upon completion, the skill creation process automatically places the finished skills into both Codex and agent skill directories to ensure they are easily discoverable within the system.

The best way to define agent skill scope is by using a framework that guides you through specifying user intent and system requirements, which then helps draft the logic and generate matching test cases.

Using a structured framework for skill development streamlines creation and refinement, ensuring your AI skills are robust, well-documented, and easily discoverable within the system.