Agent Skills are folders of reusable instructions and supporting resources that compatible AI agents can load for relevant tasks. The open format requires a SKILL.md file with a name, description and instructions; a Skill may also include reference documents, templates or scripts. The agent decides when to use an available Skill based on the task and its description.
The Agent Skills overview describes discovering a Skill from its name and description, loading its instructions when relevant, then using resources as needed. The format specification defines the folder and SKILL.md structure. The format originated at Anthropic and was released as an open standard; each product still needs to support it.
How an Agent Skill works
A Skill can describe steps, checks and an output format for a type of work. Instructions might say which fields to inspect, which exceptions to flag, and how to format a review note. Reference files can provide approved guidance. Optional scripts can support repeatable calculations, subject to what the agent product permits.
A Skill supplies guidance; it is not the agent itself. It does not automatically connect the agent to a company database or grant permission to change records. Those capabilities come from the host application and its configured tools or integrations.
An illustrative business example
Illustrative example: A finance team could create a Skill that guides an AI agent through an initial supplier-invoice check: confirm that required fields are present, compare the purchase-order number and amount with information provided to the agent, flag differences, and prepare a review note. A finance employee checks the source documents and decides whether to approve the invoice. The Skill describes a procedure; it does not set accounting policy or approve transactions.
Agent Skills, MCP and APIs
An Agent Skill packages task instructions. MCP provides a protocol for an AI application to connect to external context and tools. An API defines an interface software can use to request data or operations from a service. A compatible agent may use all three together: a Skill can guide the task, an MCP server can expose a tool, and that server may call an API. Support depends on the product and its configuration.
For more detail, see the Learn guides to MCP and APIs.
Limits and review points
A Skill does not guarantee that an agent will follow every instruction or produce a correct result. Products may support different parts of the format, and the same Skill does not promise identical behavior everywhere. Review Skills that include scripts or external files before use; control access to business data and actions through the agent’s tools, permissions and operating environment.
For a service-focused view of applying reusable AI instructions in business systems, see technine.io’s enterprise AI skills and integration service.
Frequently asked questions
Do Agent Skills give an AI agent access to business data?
No. A Skill provides instructions and optional files. Data access depends on the agent product and its configured tools or integrations, including their permissions.
Can I use the same Skill in any AI product?
Not automatically. The format is open, but each product must support Agent Skills and any features the Skill uses. Compatibility does not guarantee identical results.
Do Agent Skills make AI output reliable?
They can give an agent clearer instructions and reference material, but they do not guarantee correct output. Keep appropriate human review when a result affects records, customers or financial decisions.
Related reading: Learn what an API is and what MCP connects.
Primary sources: Agent Skills overview · Agent Skills format specification