Your expertise no longer limits what you can build. After two decades in digital products, I help professionals build and manage their own AI agents, with practical, step-by-step how-to guides.
You've built the context: a writing system for your voice, examples of your best work. But you still run every task by hand, opening a chat and steering the output each time. It works, but it doesn't scale.
A skill changes that. You teach Claude the task once, and you get the same result, to your standard, every time.
By the end of this guide, you'll:
Understand what a skill is and how it differs from a prompt.
Build a working skill with the skill-creator, using an email-reply skill as your example.
Test, use, and update your skill so it gets sharper with every round.
Note: You can use a Claude skill in any mode, but you build one in Chat or Cowork mode.
What is a skill, and when do you build one?
A skill is a reusable instruction package that teaches Claude how to do a specific task. Once it's built, Claude reaches for it on its own whenever a matching request comes up.
The difference from a prompt is what's inside. A prompt is a single instruction. A skill bundles instructions, background knowledge, and templates, so the output stays consistent and fits your business, not just the request in front of it.
Anthropic, the company behind Claude, developed Skills (Agent Skills in full) as an open standard. Dozens of tools support it, including ChatGPT and GitHub Copilot, so a skill you build in one place can travel to another.
The four parts of a skill
A skill is a folder with up to four parts:
Part
What it holds
Required?
SKILL.md
The instructions Claude follows when the skill runs
Yes
references/
Documents Claude reads to understand the task: a writing guide, examples, an FAQ
No
assets/
Files Claude uses directly in the output: templates, logos, boilerplate
No
scripts/
Code Claude can run as part of the task, to process data or convert a file
No
The distinction that matters: Claude reads references to understand what to do, and uses assets directly in the output.
How a skill loads
Claude loads a skill in three layers. It always sees the skill's name and description, and uses them to decide whether the skill fits your request. When it does, Claude reads the full SKILL.md. Only then does it open a reference, asset, or script, and only if the SKILL.md points to it.
This is progressive disclosure: you can add as much depth as you want without slowing Claude down or spending tokens on context it doesn't need. It also means the description does the heavy lifting, so write it with care.
What a skill is good for, and where it falls short
A skill pays off in three ways. It's consistent: the same tone and structure every time, no matter who asks. It's reusable, so you build it once, share it with your team, and use it across tools that support the standard. And it's the foundation for automation: once a skill is reliable, Claude can run it on a schedule instead of waiting for you to start.
A skill is only as good as the context you put in it, though. Vague instructions or thin references produce inconsistent results, so plan to test and refine. And even a strong skill can get things wrong, so check the output before it goes out, especially on sensitive topics.
Build your skill
The method is the same for any skill: map out its structure, prepare its reference files, then build it with the skill-creator.
Your expertise no longer limits what you can build. After two decades in digital products, I help professionals build and manage their own AI agents, with practical, step-by-step how-to guides.
Your expertise no longer limits what you can build. After two decades in digital products, I help professionals build and manage their own AI agents, with practical, step-by-step how-to guides.
Your expertise no longer limits what you can build. After two decades in digital products, I help professionals build and manage their own AI agents, with practical, step-by-step how-to guides.
Your expertise no longer limits what you can build. After two decades in digital products, I help professionals build and manage their own AI agents, with practical, step-by-step how-to guides.
Your expertise no longer limits what you can build. After two decades in digital products, I help professionals build and manage their own AI agents, with practical, step-by-step how-to guides.
Your expertise no longer limits what you can build. After two decades in digital products, I help professionals build and manage their own AI agents, with practical, step-by-step how-to guides.
Your expertise no longer limits what you can build. After two decades in digital products, I help professionals build and manage their own AI agents, with practical, step-by-step how-to guides.
