Skills: Your AI Now Knows When to Act on Its Own

A skill looks like a prompt. It isn't.

A prompt you write, send, and the AI forgets the moment the conversation ends. A skill stays saved, and the one who decides when to use it isn't you, it's the AI itself. You can have ten skills saved at once, each one ready for a different task. The AI reads only the short description of each before starting, and the moment a task matches one of them, it loads the full content on its own, without you having to point at which one to use.

It's that difference, a prompt you repeat versus knowledge the AI recognizes on its own, that got OpenAI, Google, Microsoft, and Anthropic to launch, almost at the same time, a similar answer to the same problem, each one under a different name.

OpenAI called it custom GPTs: you build a persona with fixed instructions and reference files, save it, reuse it. Google did the equivalent with Gems in Gemini. Microsoft went a step further with Copilot agents, which don't just respond with fixed instructions, they also trigger actions inside Microsoft 365, like scheduling a meeting on their own. And Anthropic launched Claude Skills, which solve the problem in a structurally different way: not a saved persona, but a folder of instructions, with scripts and supporting material, that the AI loads on its own only when the task calls for it.

So far, this looks like four companies copying the same marketing idea, each slapping its own name on it to look like exclusive innovation. It isn't.

The proof this isn't a positioning coincidence

GitHub Copilot, Microsoft's own product, now reads skill folders in the same open format Anthropic published, Agent Skills, at agentskills.io. A direct competitor adopting the other's standard isn't a marketing coincidence, it's a sign the problem is real.

And here's an opinion: custom GPTs and Gems solved half the problem. They saved typing, but they were still text the AI re-reads from scratch every conversation. Skills go further, they carry procedure and scripts, and only step in when the task calls for it. It's the difference between handing someone a manual to reread every time and having a trained employee who already knows the right moment to apply each rule.