Not Everything Should Be Automated: How I Decide Whether an AI Skill Is Worth Building
Before asking whether a task can become a Skill, I first ask whether it is worth repeating in a consistent way.
- Updated
- Verified
- Evidence
- verified
- AI Skills
- Workflow design
- Professional judgment
Do not reach for AI too quickly
With so many tools available, it is easy to assume that turning a task into a Skill automatically makes the work more advanced. I now prefer to understand the problem first instead of choosing a tool in advance.
Three questions I ask first
Does the task recur? Can its inputs and expected outputs be described clearly? Is there a stable set of steps shared across different instances of the task?
If the answer to most of these questions is no, it may be better to use AI informally to organize information than to encode the whole judgment process as a fixed workflow.
The boundary matters most
Even when a task is suitable for reuse, the workflow should say which steps a tool can handle and where someone must add facts, check evidence, or make a professional judgment. Clear steps make it easier to see where the AI should stop.
A tool should make expert judgment clearer
A good Skill, in my view, does not make every decision for someone. It makes repeatable steps more consistent, leaving people more attention for the decisions that genuinely call for experience. Understanding the problem before automating it is often more useful than building a tool that merely looks clever.