The best place to understand agent skills is through the official open standard website - https://agentskills.io/home. This site gives a very clear understanding of the agent skills specification and should be your first go-to place to start learning about skills.
A Skill is nothing a portable package (aka folder) of instructions, scripts, and resources that gives an AI agent specialized capabilities and domain expertise. Skills also use progressive disclosure - The agent discovers what skills exist, then loads only the ones relevant to the current task, and only reads the parts it needs at that moment. In practice, this means:
- Your agent doesn’t carry all your company’s policies, patterns, and examples in every call.
- It loads just enough context to do the job well, then responds.
- That makes Skills ideal for enterprise and public-sector use, where you want governed, auditable, reusable capability packs rather than giant, monolithic prompts.
Think of Skills as modular, AI-readable playbooks. They help you:
- Standardise behaviour: Every agent that uses the “Azure Functions” skill follows the same patterns and conventions.
- Scale expertise: You write the skill once, then many agents (Copilot, custom agents, internal tools) can use it.
- Keep context lean: The agent loads only the relevant skill(s) for the task, reducing noise and cost.
- Separate concerns: Skills isolate domain knowledge from core agent logic, making both easier to maintain.
A typical Skill folder structure will look like this:
In simple terms, MCP provides the capabilities, while Skills provide the orchestration—for example, an MCP server could expose CRM tools, while a “customer-onboarding” Skill instructs the agent how to validate information, apply policy, call those tools, and handle exceptions
