pydantic-ai-skill

What problem does it solve?

This Skill simplifies the creation of sophisticated AI agents by providing robust tools for structured output, agent orchestration, and multi-agent collaboration, making complex AI development more accessible and type-safe.

Core Features & Use Cases

• Agent Creation: Easily instantiate AI agents with specific LLM configurations and instructions.
• Tool Integration: Define and register functions as tools for agents to use, with automatic parsing of docstrings for LLM understanding.
• Structured Output: Enforce Pydantic models for LLM outputs, ensuring data consistency and predictability.
• Multi-Agent Orchestration: Design complex workflows involving multiple agents, including delegation and programmatic hand-offs.
• Use Case: Develop an AI assistant that can ingest user requests, break them down into sub-tasks, delegate those sub-tasks to specialized agents (e.g., a data analysis agent, a report generation agent), and then synthesize the results into a final, coherent response.

Quick Start

Create an agent named 'my_agent' using the 'google-gla:gemini-2.0-flash' model and run a simple prompt.