Agent Skills and MCP are often mentioned in the same conversations, but they are not the same abstraction. Agent Skills describe reusable workflows, instructions, and operating procedures. MCP describes a protocol for exposing tools, resources, and structured capabilities to models and agents.
The cleanest mental model is this:
That distinction matters because many users searching for one are actually trying to decide whether they need workflow packaging, protocol-level tooling, or both.
Choose Agent Skills first when the problem is workflow consistency:
In these cases the hard problem is not exposing a new protocol endpoint. The hard problem is making the agent follow a repeatable process with clear expectations. That is why pages like Claude Code Skills, SEO Skills, and Browser Automation skills matter: they organize reusable task logic, not transport.
Concrete examples include openclaw/skill-creator, google-gemini/skill-creator, and openclaw/github. These detail pages show workflow packaging in practice rather than protocol design.
Choose MCP when the main problem is capability exposure. If your agent needs structured access to tools, resources, documents, or execution services, MCP may be the right layer. In that case you are designing a contract between the model and an external system, not just a reusable workflow prompt.
The official source of truth is the Model Context Protocol specification. Read that before deciding that "MCP server" and "skill" are interchangeable. They are not.
The overlap happens when a skill depends on a capability layer. A team may use MCP to expose tools and Agent Skills to define when and how those tools should be combined. That combination is often stronger than either abstraction alone:
This is why the site treats MCP mostly as a comparison and education topic, not as a mixed directory keyword inside every skills page. Blending both vocabularies everywhere would weaken topical clarity and confuse the user journey.
Ask one question: is your main bottleneck access or process?
That framing keeps architecture discussions honest and helps avoid building protocol machinery when the real problem is operational ambiguity.
If your real goal is workflow reuse, browse Claude Code Skills or OpenClaw Skills. If your goal is task-specific discovery, go to SEO skills or Browser Automation skills. If you are still translating runtime terminology, continue with the Codex guide or Cursor guide.