Does it support specific Python AI frameworks?

The skill is optimized for the Deep Agents (Beagle) ecosystem, which integrates with LangGraph, Pydantic AI, and the Vercel AI SDK.

Can it help improve the performance of my AI agents?

Yes, it provides guidance on parallelizing independent subagent calls and managing large files in state to prevent bloat and recursion limit issues.

What specifically does this skill look for in my code?

It checks for critical configuration errors like missing checkpointers for human-in-the-loop interrupts, incorrect store backends, relative path errors in filesystem tools, and subagent name collisions.

Why is middleware order important for this skill?

Deep Agents has a specific built-in middleware stack. This skill ensures your custom middleware is placed correctly relative to tools like TodoList and Filesystem services.

Deep Agents Code Review

Name: Deep Agents Code Review
Author: existential-birds

byexistential-birds

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Collaboration Tools

Audits Deep Agents implementations for configuration errors, architectural anti-patterns, and performance bottlenecks.

The Deep Agents Code Review skill provides specialized domain knowledge for the Deep Agents framework, enabling Claude to perform rigorous audits of agent architectures and configurations. It automatically identifies critical issues such as missing checkpointers for interrupts, incorrect backend setups, and subagent name collisions, while offering expert guidance on middleware ordering and system prompt optimization. This skill is essential for developers building robust, production-ready AI agents using the Beagle framework to ensure high performance and reliable persistence.

Key Features

01Performance optimization strategies for parallel subagent delegation

02Audit of subagent configurations, required fields, and name collisions

03Validation of virtual filesystem paths and Unix-style pathing requirements

04Automated detection of missing checkpointers and storage backends

0514 GitHub stars

06Analysis of middleware execution order and request mutation patterns

Use Cases

01Debugging runtime configuration errors in multi-agent systems

02Performing automated code reviews for complex LangGraph-based agent workflows

03Refactoring agent system prompts to avoid built-in tool contradictions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add existential-birds/beagle deepagents-code-review

For use in Claude.ai and ChatGPT

Download Skill