What persistence backends are covered?

The skill provides guidance for StateBackend (ephemeral), FilesystemBackend (local disk), StoreBackend (cross-thread), and CompositeBackend for hybrid storage needs.

When should I use subagents in my AI application?

Subagents should be used for complex, multi-step tasks that benefit from context isolation, require specialized toolsets, or can be executed in parallel to save time.

Can I implement human-in-the-loop workflows?

Yes, the skill includes architectural patterns for setting up approval gates and interrupts using HumanInTheLoopMiddleware for sensitive operations.

What is the Deep Agents Architecture skill?

It is a specialized guide for Claude Code that helps developers design and implement complex agentic systems using the Deep Agents framework, focusing on scalability and reliability.

Deep Agents Architecture Decisions

Name: Deep Agents Architecture Decisions
Author: existential-birds

byexistential-birds

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データサイエンスとML

Guides architectural decisions for complex AI agent systems including subagent delegation, persistence strategies, and custom middleware.

概要

This skill provides Claude with the domain-specific knowledge required to architect sophisticated Deep Agents applications. It offers systematic guidance on choosing between different persistence backends like filesystem or cross-thread storage, designing subagent systems for parallel or specialized tasks, and implementing custom middleware stacks. It is essential for developers building long-horizon AI workflows that require task decomposition, memory management, and human-in-the-loop validation within the Beagle ecosystem.

主な機能

Context management strategies for long-horizon conversation threads
Backend selection logic for ephemeral, disk-based, or persistent storage
14 GitHub stars
Decision trees for implementing human-in-the-loop approval gates
Subagent pattern design including parallel research and specialized expertise
Middleware stack orchestration and custom transformation logic

ユースケース

Designing complex multi-step workflows with autonomous subagent delegation
Integrating custom tool-calling middleware for specialized enterprise logic
Configuring persistent memory and state management across user sessions

概要

主な機能

Context management strategies for long-horizon conversation threads
Backend selection logic for ephemeral, disk-based, or persistent storage
14 GitHub stars
Decision trees for implementing human-in-the-loop approval gates
Subagent pattern design including parallel research and specialized expertise
Middleware stack orchestration and custom transformation logic

ユースケース

Designing complex multi-step workflows with autonomous subagent delegation
Integrating custom tool-calling middleware for specialized enterprise logic
Configuring persistent memory and state management across user sessions