How to Teach Your AI a Process Once and Never Re-Explain It Again

What’s Actually Inside a Skill

A skill can include your brand voice rules, a step-by-step process, your formatting preferences, real-world examples of good output, and links to other places where the AI can pull context if it needs to. All of it written out in plain text.

This matters for two reasons. First, because it’s a text file, you can open it, read it, and edit it. Nothing hidden. You can see exactly what the skill is doing. Second, because it’s portable. Build a skill for Claude, and you can take that same file and use it in ChatGPT, Gemini, Grok, or whatever tool comes along next. Your process is written down, and it goes wherever you want it to go.

The Three-Step Path

You don’t have to figure out a perfect skill on the first try. The path is straightforward.

Step One: Do something with your AI and get the output right. Iterate until the result is what you want.

Step Two: Tell the AI to package what you just did as a skill.

Step Three: Use that skill over and over. And because it lives in your AI brain as a text file, you can keep refining it. When you give a correction, the AI can update the SOP itself, so the next time it’s better than the last.

A Few Skills Almost Every Operator Could Use

Review responses are the obvious skill you can put to work right away. Reviews come in. Maybe you’ve already got a project somewhere where you draft replies. But a skill goes further. It takes the review, drafts a response in your voice, applies your policies, and follows your tone for negative versus positive reviews.

Without a skill, you’re re-explaining your voice every time, or the AI is making its best guess. With a skill, you paste in a review and a draft is ready. Most operators spend 10 to 15 minutes on each response. Skills cut that down dramatically. Pair the skill with the right connector, and an agent could draft responses in bulk for you to approve and send.

Weekly reports are another use case. A skill that pulls bookings, revenue, tour completions, even profit, into a one-page dashboard you see first thing Monday morning. The columns you want, the format you like, the metrics that matter to your business. Without that skill, you’re pulling numbers from three different systems and rebuilding the same report every week. With it, the AI does it on a schedule or whenever you trigger it.

Content repurposing fits here too. Film a video on Wednesday, and a skill turns it into a blog post, three Instagram posts, an email to your list, and a section for the newsletter, each formatted for the specific platforms. What used to take hours now takes minutes.

How This Works in Practice

Inside Claude Cowork, skills live in your AI brain folder on your computer. The tool can both use those skills and update them, which means your skills get better over time. There’s a built-in skill creator that walks you through building your first one. You select the option, the AI asks what you want the skill to do, and it drafts the markdown file with you. The process even includes testing the skill against a few prompts to make sure the output is what you want before you save it.

Most of the time you don’t open the markdown file directly. You just talk to the AI, give corrections, and it updates the skill in the background. But because it’s a plain text file, you can always open it in something like Obsidian and read every line. No hidden behavior.

Skills Marketplaces

Because skills are just text files, you don’t have to build every one yourself. There are libraries online where developers and other operators share skills they’ve built. Sites like Skillhub, the Agent Skills Marketplace, and Smithery have collections covering everything from writing and research to data analysis and customer service. Some are free. Some are paid.

Read before you install. Open the file, skim through it. The same way you’d read a resume before hiring someone. These are just text files, so a quick read tells you exactly what the skill will do.

As an example, you might find a local SEO optimization skill that runs competitor analysis, checks how you’re showing up in the Google Maps three-pack, measures how often competitors post to their Google Business profile, and gives you a step-by-step process for showing up higher in search results. The imagination is the limit.

Plug-Ins: Skills Working Together

Skills are single-purpose. One handles weekly reports, another formats Instagram posts, and yet another handles review responses. Each does one job.

A plug-in bundles multiple skills together with the connectors needed to run a complete workflow. Think of it like a job description. If you hired a marketing coordinator, the role would include skills like writing social posts, scheduling content, responding to comments, and pulling analytics. Each of those is a skill. The marketing coordinator role is the plug-in that bundles them together.

You don’t need plug-ins to start. Pick a few repetitive tasks, build skills for those, and you’ll have made real progress.

Where to Begin

Find a process you do over and over in your AI tool, and the next time you do it, ask the AI to package it as a skill for next time. If you’re using Claude Cowork, install the skill creator from the examples library and let it walk you through the process. Building a skill the first time takes 15 to 30 minutes of iteration. Every time after that, it’s instant.

If you want to compare notes with other operators experimenting with skills, the Tour Business AI Lab is a free community for exactly this. We’re building out a shared skill library so we can all save time.