What is a Claude agent? A marketplace guide

What is a Claude agent?

A configured specialist that runs a job end to end: it has a role, a set of rules, and a handoff discipline for passing work to the next stage. Where a skill is one capability you call, an agent is the expert who decides when to use which capability and where its own work ends. It is built to own a lane, not to answer a single prompt.

The defining trait is judgment about scope. An agent does not just execute; it decides what the job needs, reaches for the right skill or data connection, and knows when to stop and pass the work along. A reporting agent pulls the live numbers, drafts the report, and hands it to a human for approval rather than publishing on its own. That ownership of a defined lane, with rules and edges, is what makes it an agent rather than a clever one-off response.

How is an agent different from a skill?

A skill is a capability; an agent is a specialist. The skill is the tool in the drawer; the agent is the person who knows which tool the job needs and what to hand off afterward. You can give one agent several skills, but you don’t give a skill judgment about scope, that lives in the agent.

The relationship is layered, not competing. Skills are the methods; the agent is who wields them and decides the sequence. A single SEO agent might carry a technical-audit skill, a content-review skill, and a reporting skill, and the agent’s value is choosing which one the moment calls for and where its responsibility ends. Buy a skill when you want a method; bring in an agent when you want something that owns the whole job and knows its own boundaries.

What should you look for in an agent?

Clarity on its role, and just as importantly its boundaries, what it explicitly will not do. A good agent also tells you what should come next: who picks up the work after it finishes. And it should be able to show it has run on real jobs, not just describe an ideal one.

Boundaries are the most underrated signal. The best agents are explicit about scope, this agent writes the content but does not publish it, audits the account but does not change it without approval, because a clear edge is what makes the work reviewable and safe. Pair that with a stated handoff: an agent that names who comes next is built for real pipelines, not for demos. And insist on evidence it has done the work, a documented case beats a polished description of an ideal run every time.

How do you avoid low-quality marketplace listings?

Treat ‘does everything’ as a red flag, a specialist that claims no boundaries has none. Don’t buy a listing whose method you can’t see inside; if it only sells the outcome and hides the work, walk. Ask for the proof page: a real case it ran, or it stays unproven.

Most weak listings share a pattern: broad promises, hidden internals, no edges, no proof. A thin agent is often just a system prompt with an ambitious name, repackaged from a public template and dressed up for sale. The defense is simple and it is the same one we apply to our own catalog: show the method, name the limits, point to a real job. When you cannot see inside and cannot find the boundary, assume there is nothing there to see.

Once you know what separates a real agent from a repackaged one, the catalog lists agents and kits with their roles and boundaries stated up front, so you can judge fit instead of taking the headline on faith. And because agents are only as good as the methods they carry, it helps to understand that layer too: what are Claude skills explains the capabilities an agent wields and why the method matters as much as the operator.