pydantic-ai
Write accurate Pydantic AI code from the start. Up-to-date patterns, decision trees, and common gotchas for agents, tools, structured output, streaming, and multi-agent apps.
Summary
This skill provides up-to-date patterns, decision trees, and common gotchas for building Pydantic AI agents, tools, structured output, streaming, and multi-agent applications.
- It helps developers write accurate Pydantic AI code from the start, avoiding pitfalls and following best practices.
Install & Usage
/plugin marketplace add <org/repo>Add the configuration to /plugin install pydantic-ai@<marketplace>
/pluginUse Cases
Usage Examples
/pydantic-ai Create a weather agent that uses a tool to fetch temperature and returns a structured response with city, temp, and unit.
/pydantic-ai Show me how to implement a streaming agent that outputs tokens incrementally.
I need to build a multi-agent system where a supervisor agent delegates to specialized agents. How do I set that up with Pydantic AI?
Security Audits
Frequently Asked Questions
What is pydantic-ai?
This skill provides up-to-date patterns, decision trees, and common gotchas for building Pydantic AI agents, tools, structured output, streaming, and multi-agent applications. It helps developers write accurate Pydantic AI code from the start, avoiding pitfalls and following best practices.
How to install pydantic-ai?
To install pydantic-ai: add a marketplace (/plugin marketplace add <org/repo>), then add the config to /plugin install pydantic-ai@<marketplace>. Finally, /plugin in Claude Code.
What is pydantic-ai best for?
pydantic-ai is a plugin categorized under Development. It is designed for: agent. Created by Anthropic.
What can I use pydantic-ai for?
pydantic-ai is useful for: Designing a Pydantic AI agent with structured output using a custom Pydantic model.; Implementing a tool that calls an external API and returns validated data to the agent.; Setting up a streaming agent that yields partial results as they are generated.; Building a multi-agent application where agents delegate tasks to each other.; Debugging common errors like model validation failures or tool execution issues.; Migrating existing code to use the latest Pydantic AI patterns and features..