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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallAI agent skills are reusable workflow instructions that help an agent handle a recurring task in a consistent way. A skill commonly consists of a folder containing a SKILL.md file, plus optional reference documents, scripts, templates, or other resources. The agent can discover a skill from its short description, load its instructions when relevant, and consult supporting files as needed. Skills explain a procedure; they do not automatically provide live data, grant tool access, or guarantee a correct result.
What are AI agent skills?
An AI agent skill is a reusable set of instructions and resources for a particular kind of work: for example, applying a house style, preparing a recurring report, or following a multi-step review process. OpenAI and Anthropic describe skills as directories organized around a SKILL.md file. That file includes metadata and instructions; supporting files can provide background, scripts, examples, or templates. OpenAI’s skills documentation and Anthropic’s Agent Skills overview describe the format and its components.
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Think of a skill as a workflow brief an agent can reuse. It can specify the steps to follow, what information to gather, how to handle missing details, and what the final output should look like. The agent still depends on its platform and configured tools for capabilities such as accessing files, using external services, or taking actions. Instructions alone do not create those capabilities or ensure the agent follows the process perfectly.
How do AI agent skills work?
Skills use a pattern called progressive disclosure: the agent starts with a brief description and reads more only when a task calls for it. This lets a skill advertise its purpose without placing every instruction and resource into the agent’s context for every request.
- Discovery: The platform makes skill metadata, such as its name and description, available to the agent. The description helps the agent judge whether the skill fits the user’s request.
- Instruction loading: When a skill appears relevant, the agent reads its
SKILL.mdinstructions. - Supporting resources: If the instructions point to a reference document, template, or other asset, the agent can consult it when needed.
- Execution: The agent follows the workflow using the capabilities available in that particular product and session. A script may perform a repeatable action, but what it can do depends on the platform’s runtime and permissions.
Anthropic illustrates this with a PDF skill: the agent identifies the skill from its metadata, reads the skill instructions when asked to work with a PDF, and then consults a linked guide if the task requires it. Anthropic’s engineering article also describes using scripts for repeatable actions without loading all of a script’s source into the model context.
How do I create and use an AI agent skill?
The exact installation process depends on the product. The general authoring pattern is to package a stable workflow in a folder, describe when it applies, add only useful supporting files, and test it in the intended environment.
- Pick a repeatable task. Choose work where consistent steps or organization-specific rules improve the result. A one-off request, a task driven mainly by live information or external actions, or a procedure that changes daily may be a poor fit.
- Create the skill folder and
SKILL.md. Add the required metadata, including a clear name and a description of what the skill does and when to use it. Put the core workflow in the file’s instructions. See OpenAI’s skills guide and Anthropic’s overview for their format documentation. - Make the instructions operational. Spell out the sequence of steps, expected inputs, how to handle incomplete information, and the intended output. A specific description can help the agent decide when the workflow matches a request.
- Add supporting files only when they help. Use references for longer background or specialized guidance, scripts for repeatable execution, and assets for reusable templates. Link to each from the main instructions and explain when the agent should use it.
- Install the folder on the target platform. Follow that product’s instructions and check that the feature and required runtime are enabled. For example, Claude’s help documentation says its app skills require code execution and file creation to be enabled. API and Claude Code setup differ from the app’s process.
- Test and revise. Try representative requests, check whether the skill is selected when appropriate, and adjust the description or steps where it misses the task or handles an edge case poorly. Anthropic recommends improving skills based on successful approaches and observed failure modes.
How are skills different from MCP and other AI features?
The key distinction is whether you need a procedure, a connection, or background that applies broadly. These features can complement one another, but they are not interchangeable.
| Feature | What it provides | Useful when |
|---|---|---|
| Agent skill | Task-specific procedures and optional packaged resources. | You want an agent to follow a reusable workflow. |
| MCP server | A connection to external tools or data, including the relevant authentication, authorization, and actions. | The task requires live information or actions in another service. |
| Project | Background knowledge available to chats within a project. | Chats need shared context that is not limited to one matching task. |
| Custom instructions | Guidance that applies broadly rather than activating only for a particular workflow. | You want a general preference or rule to shape responses across tasks. |
A skill can explain how to use MCP tools as part of a procedure, but the skill itself does not create the external connection. Conversely, a skill may work without MCP if it only needs its packaged instructions and resources. Anthropic explains these distinctions in its engineering article on Agent Skills and its skills overview.
What should I check before installing or sharing a skill?
A skill’s folder can contain more than passive guidance: scripts can execute, and instructions can steer an agent’s use of tools. Treat a third-party skill as something to inspect, not as a security feature simply because it follows a common format. Anthropic warns that malicious skills could create vulnerabilities, expose data, or direct unintended actions.
- Use sources you trust and inspect the full folder before installing.
- Read the instructions, bundled scripts, dependencies, and resources, paying particular attention to anything that directs network connections.
- Give the agent no more tool access than the task requires.
- Test with low-risk inputs before relying on the skill for sensitive work.
Anthropic’s engineering guidance puts the first step plainly: “When installing a skill from a less-trusted source, thoroughly audit it before use.” Read Anthropic’s guidance on Agent Skills.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What changes between platforms?
The general format is shared, but installation, storage, runtime behavior, and sharing are product-specific. A skill installed in one product surface should not be assumed to appear in another. Check the target product’s current documentation for its supported format, setup steps, and sharing model.
For Claude, current help documentation describes skills as available on Free, Pro, Max, Team, and Enterprise plans, with code execution and file creation required. Individual users are directed to Settings > Capabilities, then Customize > Skills; Team and Enterprise setup involves organization settings and owner controls. These labels and eligibility can change, so confirm them in Claude’s current skills help article.
Runtime differences matter as well. Anthropic’s platform documentation describes API skills as running in a sandboxed container without network access or runtime package installation, while Claude Code skills have the same network access as other programs on the user’s computer. Those details apply to the documented Anthropic products, not every skill implementation. Consult Anthropic’s platform documentation before designing around a particular runtime.
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