Can it help improve agent security?

Yes, the skill validates that API keys are pulled from environment variables rather than hardcoded and ensures all tool inputs use Pydantic for strict validation.

How do I generate boilerplate code for new agents?

You can use the /dapr:agent command followed by the pattern type (assistant, durable, service, or multi) to generate standardized templates.

How does the Dapr Agent Builder skill trigger?

It auto-activates when Claude detects agent-specific files (like *_agent.py), imports of the dapr_agents library, or tool definitions using the @tool decorator.

What specific agent patterns does this skill support?

It supports AssistantAgent for interactive tasks, DurableAgent for fault-tolerant workflows, AgentService for REST APIs, and Multi-Agent patterns for complex orchestration.

Does it provide guidance for agent memory?

It offers strategies for short-term conversation context, long-term persistence via Dapr state stores, and vector memory for RAG scenarios.

Dapr Agent Builder

Name: Dapr Agent Builder
Author: Sahib-Sawhney-WH

bySahib-Sawhney-WH

•

数据科学与机器学习

Streamlines the development of distributed AI agents using the Dapr framework by validating configurations and implementing best-practice patterns.

关于

The Agent Builder skill provides intelligent assistance for developers building AI agents within the Dapr (Distributed Application Runtime) ecosystem. It automates the validation of agent configurations, suggests optimized architectural patterns like AssistantAgent and DurableAgent, and ensures tool definitions are correctly implemented with Pydantic validation and async support. By offering guidance on memory strategies and LLM setups, it helps developers create robust, production-ready multi-agent systems that leverage Dapr's cloud-native capabilities for state management and workflow orchestration.

主要功能

Comprehensive memory strategy guidance covering short-term context and Dapr state stores.
Template generation for rapid prototyping of complex multi-agent orchestrations.
3 GitHub stars
Pattern recommendations for interactive, durable, and headless REST-based agents.
Automatic validation of agent configurations, required imports, and role definitions.
Tool integration checks for docstrings, Pydantic validation, and async I/O operations.

使用场景

Developing headless REST API agents for integration into enterprise microservices.
Building fault-tolerant, long-running research agents using Dapr durable workflows.
Orchestrating multi-agent systems with specialized routing and technical specialist roles.

关于

主要功能

Comprehensive memory strategy guidance covering short-term context and Dapr state stores.
Template generation for rapid prototyping of complex multi-agent orchestrations.
3 GitHub stars
Pattern recommendations for interactive, durable, and headless REST-based agents.
Automatic validation of agent configurations, required imports, and role definitions.
Tool integration checks for docstrings, Pydantic validation, and async I/O operations.

使用场景

Developing headless REST API agents for integration into enterprise microservices.
Building fault-tolerant, long-running research agents using Dapr durable workflows.
Orchestrating multi-agent systems with specialized routing and technical specialist roles.