Building organizational AI Skills.md

The Idea: Your team is already building real capability with AI tools. The problem is that almost none of it is being captured. Prompts get built, workflows get developed, but all of it lives on individual machines, inside vendor platforms, or in the heads of whoever figured it out. None of it belongs to the organization.

Employees are figuring out how to use AI tools effectively, building workflows that save them hours, developing approaches that produce output that actually meets their standards. That’s a good place to be. The productivity gains are real.

What very few organizations have figured out is how to make that capability accessible to the entire company rather than just the individual.

Right now, the knowledge of these workflows and prompt techniques lives on personal laptops, in custom chatbots on vendor platforms, or in the heads of whoever figured it out. When someone leaves the company or the organization is forced to switch vendors, the capability disappears. When a colleague needs the same capability, they start from scratch, even if someone two desks away has already solved the exact same problem. There’s no central source for any of it.

A skills.md repository is how you solve this.

Think of it as an SOP that an AI tool can actually follow. A skills.md file is a structured instruction set that captures how your organization needs a specific type of work done: what context to draw from, what process to follow, what good output looks like, and where a human should make the call. It lives in a plain markdown file, which means it’s not tied to any platform, any vendor, or any individual’s account.

The same skill works in Claude, in ChatGPT, in any agentic tool, or in whatever comes next. When your organization changes tools, your accumulated capability travels with you rather than disappearing behind a vendor’s login screen.

What you’re building over time is not a collection of quality prompts or an enterprise software license. A shared skills.md repository is a living record of how your organization has learned to work with AI, one that can be orchestrated with virtually any AI tool. The library itself becomes a competitive asset because it encodes your organization’s specific judgment, standards, and processes in a way no competitor can replicate by buying the same software.

With a well-built skills.md repository, a team that loses a key employee doesn’t lose the workflows that person spent months perfecting. A new hire can access the same capabilities your most experienced people have developed, from day one.

The distinction worth making here is that the goal isn’t simply having a large population of powerful AI users. That’s valuable, but it’s not the same thing. The goal is building a capable AI organization that isn’t bound to any software license or any key individual.

The capable AI organizations are the ones that will set the terms over the next three-to-five-year sprint of AI operationalization. Everyone else will still be rebuilding every time a vendor changes or a key person walks out the door.