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beagle-ai
Build and review AI agent applications using PydanticAI, LangGraph, DeepAgents, and Vercel AI SDK. Guides architectural decisions, implements agents, reviews code for bugs and anti-patterns, and builds streaming chat interfaces.
$
npx claudepluginhub jmagar/.agents --plugin beagle-aiPopularity
Stars
Med: 0·Avg: 268
Installs
Med: 0·Avg: 1
What's Inside
Skills13
deepagents-architecture
/deepagents-architecture
Guides architectural decisions for Deep Agents applications. Use when deciding between Deep Agents vs alternatives, choosing backend strategies, designing subagent systems, or selecting middleware approaches.
deepagents-code-review
/deepagents-code-review
Reviews Deep Agents code for bugs, anti-patterns, and improvements. Use when reviewing code that uses create_deep_agent, backends, subagents, middleware, or human-in-the-loop patterns. Catches common configuration and usage mistakes.
deepagents-implementation
/deepagents-implementation
Implements agents using Deep Agents. Use when building agents with create_deep_agent, configuring backends, defining subagents, adding middleware, or setting up human-in-the-loop workflows.
langgraph-architecture
/langgraph-architecture
Guides architectural decisions for LangGraph applications. Use when deciding between LangGraph vs alternatives, choosing state management strategies, designing multi-agent systems, or selecting persistence and streaming approaches.
langgraph-code-review
/langgraph-code-review
Reviews LangGraph code for bugs, anti-patterns, and improvements. Use when reviewing code that uses StateGraph, nodes, edges, checkpointing, or other LangGraph features. Catches common mistakes in state management, graph structure, and async patterns.
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Version1.1.0
Released
LanguagePython
Stars60
Forks8
MaintenanceGood
LicenseApache-2.0
Last Commit
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