Use cases  ·  design

Design Agent Skill


Designing an agent skill involves defining triggers, outputs, and scope so an AI agent can reliably perform a specific task. Agents excel at this because they can follow structured instructions, validate inputs, and produce consistent results without human oversight. A well-designed skill is self-contained, precise, and easy to maintain. Below are 2 skills we evaluated for this task.

03 — FAQ

Common questions

What is an agent skill?
An agent skill is a set of instructions that defines how an AI agent should perform a specific task. It includes triggers, inputs, outputs, and constraints to ensure reliable and repeatable behavior.
How do I design a skill that is self-contained?
To make a skill self-contained, include all necessary instructions, dependencies, and error handling within the skill definition. Avoid relying on external context that the agent might not have access to.
What should be included in a skill's scope?
A skill's scope should clearly define what the skill does and does not do. Specify the exact inputs it expects, the outputs it produces, and any limitations or edge cases it handles.