Create a Skill when inputs and outputs are stable, the steps repeat, and forgetting one step causes real failures.
The decision behind the technique
Skills are operational assets, not folders for every good prompt. They repay their maintenance cost when they encode a durable sequence, reusable tools and a clear finish condition.
Create a Skill when inputs and outputs are stable, the steps repeat, and forgetting one step causes real failures.
A practical step-by-step workflow
Use this sequence as a default, then tighten or expand it only when the evidence changes.
- Collect three real examples of the workflow
- Identify invariant steps and variable inputs
- Define the output and verification contract
- Test the Skill on a fresh representative task
Failure boundary and finish line
A Skill that embeds stale product facts can spread errors faster than an ordinary prompt.
Finish when the configuration is smaller, reproducible and still preserves every required safety boundary.
Frequently asked questions
What should I do first?+
Collect three real examples of the workflow
What is the main failure mode?+
A Skill that embeds stale product facts can spread errors faster than an ordinary prompt.
OFFICIAL SOURCES
Verify against the source
OpenAI build skills guidanceThis guide provides general information, not an OpenAI allowance promise or support decision. Your account and official pages govern actual usage, benefits and recovery times.