Illustration for: Anthropic adds Agent Skills, giving Claude procedural and domain expertise
LLMs & Generative AI

Anthropic adds Agent Skills, giving Claude procedural and domain expertise

5 min read

Anthropic just introduced something they call Agent Skills, which basically lets Claude pull in procedural knowledge and niche expertise. The idea, as they put it, is to let the model work with files, run scripts and use structured context the way a real-world workflow would need. I’m not sure how deep the integration goes yet, details are still pretty thin, but the premise sounds like Claude could move past just spitting out text and start actually handling tasks step by step.

Think of it as a toolbox that adds file-handling or script-execution abilities on top of the language model. It feels more like a shift toward a tool-focused assistant rather than a pure chatbot. Whether developers will see a noticeable bump in performance will probably depend on how they wire these new skills into their pipelines.

In any case, the addition hints that Anthropic wants Claude to act more like an assistant that follows instructions, not just answers questions.

Anthropic has unveiled Agent Skills, a new framework designed to give its Claude models procedural knowledge and domain-specific expertise. The launch marks a step toward building agents that can dynamically adapt to real-world workflows using files, scripts, and structured context. Agent Skills allow developers to package instructions, scripts, and resources into organised folders that Claude can load and interpret when needed.

The system builds on the principle of progressive disclosure, letting the model read information incrementally, from metadata to detailed guides, without overloading its context window. At the heart of each skill is a SKILL.md file containing YAML ‘frontmatter’ with metadata like name and description as the company describes. This helps Claude determine when to activate a specific skill.

For example, a PDF skill can extend Claude’s native understanding of documents by adding the ability to fill forms or extract fields via bundled Python scripts. Anthropic said the approach allows for “composable, scalable, and portable” capabilities, turning general-purpose models into specialised agents. By referencing additional files such as forms.md or reference.md, developers can create layered skill structures that Claude reads only when relevant to the task.

Agent Skills also support code execution, enabling Claude to run deterministic scripts for computational tasks instead of relying solely on token generation.

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So, can Claude really get the subtleties of day-to-day workflows? Anthropic’s new Agent Skills framework hints that it might. Developers can now pack instructions, scripts and other resources into tidy folders, and Claude can pull in just the piece it needs when it needs it.

The idea is to show the model only the relevant info at any moment, which sounds like it could make agents more flexible for tasks that involve files, scripts or structured context. The announcement, though, is pretty light on hard numbers - we haven’t seen benchmark results or a clear picture of how much work developers will have to do to curate these skill packages. It’s also fuzzy whether the system will scale across very different domains without a lot of hand-tuning.

Right now Anthropic has taken a concrete step toward embedding domain expertise in its models, but the real test will be how easy it is to create, keep up-to-date and stitch these bundles into existing pipelines. In the next few weeks we should see whether Agent Skills lives up to the hype or just adds another layer for users to wrestle with.

Common Questions Answered

What is the purpose of Anthropic's new Agent Skills framework for Claude?

The Agent Skills framework is designed to give Claude models procedural knowledge and domain-specific expertise, enabling them to dynamically adapt to real-world workflows. This allows Claude to handle tasks that involve files, scripts, and structured context more effectively.

How do developers package information for Claude using Agent Skills?

Developers package instructions, scripts, and resources into organized folders that Claude can load and interpret when needed. This system utilizes progressive disclosure, exposing only the necessary information to the model at a given moment to improve adaptability.

What types of real-world elements can Claude interact with through Agent Skills?

Claude can interact with files, scripts, and structured context as part of real-world workflows through the Agent Skills framework. This procedural knowledge allows the model to handle the nuances of everyday tasks more dynamically.