Your AI Skills Should Survive Every Platform Change

I taught people how to build custom GPTs for more than three years.

Then OpenAI announced that custom GPTs are going away.

I was irritated. I use dozens of them. My students built valuable assistants around them. Some people may look at the retirement notice and wonder whether all that effort was wasted.

It wasn’t.

The interface is changing. The skill you learned still belongs to you.

“The tools will change. The philosophy stays the same.”
Ethan King

Your Custom GPT Was Practice

A useful custom GPT needed more than a clever prompt. You had to define its job, give it context, write clear instructions, provide trusted knowledge, describe the finished output, and test it against real work.

That is the same thinking behind a modern AI agent.

An agent adds memory, tools, and the ability to act. Yet the foundation remains familiar. It still needs a clear role. It still needs rules. It still needs reliable information. It still needs to know what success looks like.

OpenAI’s own migration guidance reinforces this. The company’s process converts a GPT’s instructions into a skill inside a plugin and copies its knowledge into reference files. The wrapper changes. The useful business logic moves forward.

You can read the custom GPT retirement and migration FAQ here.

Platforms Rent You Space

Every technology platform controls its own rules, roadmap, storefront, and business model. A feature can disappear even when customers love it. A pricing plan can change. A marketplace can close. A tool you built your workflow around can become something else with one product announcement.

Your expertise should never be trapped inside that decision.

The instructions that make your assistant useful are yours. So are the examples, source material, quality standards, decision rules, and processes you developed.

Keep those pieces separate from the platform that runs them.

That gives you options. The same business logic can become a portable skill, an internal assistant, a website guide, a lead qualifier, or part of a larger agent that completes work across several systems.

Make Your Expertise Portable

Start with the custom GPTs or assistants you still use. For each one, collect five things:

1. The job. Write one sentence that defines what the assistant owns.
2. The instructions. Export the rules, workflow, tone, and boundaries.
3. The knowledge. Save every reference file in a folder you control.
4. The expected output. Preserve examples of strong work and explain why they are strong.
5. The tests. Keep the real prompts you use to confirm that the system still works.

Then ask Codex or Claude Code to turn that material into portable skill files or a plugin. Test the converted version against familiar assignments. Compare the output. Fix the gaps while the original assistant is still available.

A skill is the playbook. A plugin is the kit. An agent is the worker.

Own the Backup Too

Portability only helps when you control the files.

Keep the working folder synced to cloud storage. Mirror it to a physical drive. Set a monthly reminder to open the backup and confirm the files still match.

Now your business logic lives in more than one place. A platform can change its interface without taking your operating knowledge with it.

This matters beyond custom GPTs. The AI tools you use today will keep evolving. Some will improve. Others will disappear. Your advantage comes from learning the principles well enough to carry them into whatever comes next.

The platform owns the storefront.

You own the skill.

Want the original step-by-step issue that inspired this article? Read King’s Keys #30: You Own Your Skills, Not the Platform.

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