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llms.txt
AI glossary
Agents

Agent Skills

Also called Skills, Agent skill, SKILL.md

Folders of instructions, scripts and resources that an AI agent loads only when a task needs them, to do that kind of task well.

What are agent skills?

Agent skills are packages of know-how for AI agents. Each skill is a folder containing a main instruction file (usually called SKILL.md) and, optionally, scripts, templates and reference documents. A skill might teach an agent to fill in your company's report template, follow your brand guidelines or work with spreadsheets.

Skills started at Anthropic and are now published as an open format that other agent tools can support.

How does it work?

The agent starts with only a short name and description of each installed skill, which takes up very little of its context window. When a task matches a skill, the agent reads the full instructions, and opens the extra files or runs the scripts only if it needs them. This "load on demand" approach is a form of context engineering: an agent can have many skills installed without its context filling up.

What is it commonly confused with?

  • MCP servers. An MCP server connects an agent to an outside tool or data source. A skill teaches the agent how to do a kind of task. They work well together: a skill can explain how to use the tools an MCP server provides.
  • A system prompt. A system prompt is always loaded; a skill is loaded only when it's relevant.

Why does it matter?

Skills let teams write down a process once and have agents follow it consistently, without pasting long instructions into every conversation. Because a skill can include scripts the agent runs, treat skills from other people like any software you install: read them first and use ones from sources you trust. Read MCP vs agent skills for when to use each.

Category
Agents
Last reviewed
Nov 3, 2026
Also called
Skills, Agent skill, SKILL.md

Sources

  • Anthropic: Agent Skills overview
  • Agent Skills: open format

Related terms

  • AgentsAI AgentAn AI system that can autonomously plan and execute actions using tools to achieve a goal.
  • ProtocolsMCP ServerA program that offers tools, data or prompts to AI applications through the Model Context Protocol, so any compatible app can use them.
  • ProtocolsModel Context ProtocolAn open standard that enables AI models to securely and uniformly access external data sources.
  • Generative AIContext EngineeringDeciding what information goes into an AI model's context window, and in what form, so it has what it needs and little else.
  • Generative AISystem PromptThe foundational set of hidden instructions that define an AI model’s persona, boundaries, and behavior.
  • AgentsAgent HarnessEverything around an AI model that turns it into a working agent: its instructions, tools, context handling, memory, sandbox, checks and permissions.

Read more on Learn

All articles
  • Illustration of two intersecting concepts representing MCP and Agent SkillsComparisons · Jul 23, 2026MCP vs Agent Skills: What Is the Difference?Understand the difference between the Model Context Protocol (MCP) and AI Agent Skills. Learn how these two concepts work together to build powerful AI tools.
  • A building under construction wrapped in scaffolding against a blue skyAI Concepts · Nov 3, 2026What Is Harness Engineering? The System Around an AI AgentHarness engineering is designing everything around an AI model so an agent works reliably: instructions, tools, memory, checks and permissions.