agentskills/agentskills

What it solves

Agent Skills provides a standardized, lightweight format for extending AI agent capabilities. It addresses the problem of agents lacking the specific procedural knowledge, company-specific context, or specialized expertise required to perform complex, real-world tasks reliably.

How it works

Skills are packaged as folders containing a mandatory SKILL.md file (metadata and instructions) and optional bundled resources like scripts, reference materials, and templates. Agents use a process called "progressive disclosure" to manage context efficiently:

1. Discovery: The agent loads only the name and description of available skills to identify relevance.
2. Activation: Once a skill is deemed relevant, the agent loads the full instructions from SKILL.md into its context.
3. Execution: The agent follows the instructions and executes any bundled code or loads referenced files as needed.

Who it’s for

Developers and organizations that want to create portable, version-controlled expertise and repeatable workflows that can be used across different skills-compatible AI agent clients.

Highlights

• Standardized Format: Uses a simple folder-based structure with a SKILL.md file for metadata and instructions.
• Context Efficiency: Employs progressive disclosure to keep the context footprint small while maintaining access to many skills.
• Portable and Reusable: Skills can be built once and shared across various compatible agent products.
• Open Standard: Originally developed by Anthropic and released as an open standard for the broader ecosystem.