Overview
Agent Skills provides a standardized specification and documentation for describing, sharing, and discovering agent skills. A skill is a standardized way to give AI agents new capabilities and expertise, consisting of documentation, examples, and metadata that make it easier for different agents to implement and reuse capabilities, improving composability and reliability when solving complex tasks.
Key Features
- Unified specification defining skill capabilities, inputs/outputs, and metadata in a clear, human-readable format
- Standardized directories and examples enabling indexing and lookup for on-demand skill loading by agents
- Reference implementations and example repositories demonstrating how to author, test, and integrate skills
- Community-driven and open-source, initiated by Anthropic with contributions welcome
Use Cases
Extending agent capabilities with reusable modules for chat assistants, task agents, and automation pipelines. Building skill marketplaces where third parties can publish discoverable skills. Enabling cross-platform interoperability by allowing different agent platforms to call skills using a shared format.
Technical Details
Language-agnostic specification focused on capabilities and metadata with examples provided in Python and other languages. Human-readable formats define skill interfaces and expected behavior. Examples and tests accompany the specification to validate correctness and compatibility.