Google ADK Finally Gets It: Skills are here and they're absolutely wild

Google ADK Skills Architecture Overview

The Google Anthropic Development Kit (ADK) introduces a novel approach to managing specialized knowledge within AI agents through its Skills architecture. This system is designed to address the scalability challenges of building intelligent, domain-specific applications by allowing agents to dynamically load and unload knowledge as needed.

Key Components of ADK Skills Architecture

1. Three-Level Progressive Disclosure:

   • Level 1 (L1) Metadata: Contains basic information about a skill, such as its name and description.
   • Level 2 (L2) Instructions: Detailed instructions on how to use the skill, including specific tasks it can perform.
   • Level 3 (L3) Resources: Actual data or executable scripts that are loaded only when necessary.

2. SkillToolset:

   • A container for multiple skills and their associated resources. It includes a code executor to run any scripts within L3 resources securely.

Workflow Example

1. Query Handling:
   • When an agent receives a query, it first scans the available skills (L1 metadata).
   • If a relevant skill is identified, the agent loads its instructions (L2) and then fetches only the

Read the full article at Towards AI - Medium

---

Want to create content about this topic? Use Nemati AI tools to generate articles, social posts, and more.