A skill is more powerful than it looks
So far skills have sounded benign: a playbook, a folder of instructions. Mostly they are. But before you deploy one to a team, you need a clear view of what a skill can actually do, because it's more than "give Claude some advice."
A skill can include instructions for Claude to run small steps, not just read guidance. That's a real capability and it's why skills depend on the Code Execution setting. It's also why a skill deserves more caution than a saved prompt.
Put plainly: a skill you install is telling Claude how to behave for a whole category of tasks. A badly written skill makes your team's work quietly wrong. A maliciously written skill is worse. A skill from an untrusted source could direct Claude to run code you didn't intend, reach for files it shouldn't, or send information out of your organization. The skill looks like a helpful playbook the whole time.
This is not a reason to avoid skills. It's a reason to treat deploying one as a real decision. The instinct to guard against is this: a skill feels like a document, and people trust documents. A document just sits there. A skill actively shapes what your AI does across many tasks and many people. That's a different risk class, and it earns a real process.
The rest of this lesson is that process. Three ideas: treat a skill like software you're installing, evaluate it before it goes live, and control who can deploy one. None of it is heavy. All of it is the difference between skills being an asset and skills being a quiet liability.
A skill is more powerful than it looks
So far skills have sounded benign: a playbook, a folder of instructions. Mostly they are. But before you deploy one to a team, you need a clear view of what a skill can actually do, because it's more than "give Claude some advice."
A skill can include instructions for Claude to run small steps, not just read guidance. That's a real capability and it's why skills depend on the Code Execution setting. It's also why a skill deserves more caution than a saved prompt.
Put plainly: a skill you install is telling Claude how to behave for a whole category of tasks. A badly written skill makes your team's work quietly wrong. A maliciously written skill is worse. A skill from an untrusted source could direct Claude to run code you didn't intend, reach for files it shouldn't, or send information out of your organization. The skill looks like a helpful playbook the whole time.
This is not a reason to avoid skills. It's a reason to treat deploying one as a real decision. The instinct to guard against is this: a skill feels like a document, and people trust documents. A document just sits there. A skill actively shapes what your AI does across many tasks and many people. That's a different risk class, and it earns a real process.
The rest of this lesson is that process. Three ideas: treat a skill like software you're installing, evaluate it before it goes live, and control who can deploy one. None of it is heavy. All of it is the difference between skills being an asset and skills being a quiet liability.