Can it handle complex middleware logic?

It is specifically designed to navigate and modify multi-layered middleware stacks, such as those used for budget control and city-level constraints.

Does it support Model Context Protocol (MCP) integrations?

Yes, it includes specific protocols for referencing tool wrapping strategies and implementing MCP tools correctly within the project's logic.

What makes this skill different from standard coding?

It prioritizes an 'Architecture First' approach by requiring the agent to ingest project-specific documentation and middleware rules before writing any code.

Is this suitable for production-ready code?

Absolutely; the skill instructs the AI to write senior-level Python code that maintains consistency with existing naming conventions and asynchronous patterns.

Agent Feature Architect

Name: Agent Feature Architect
Author: SWUSTcyt

bySWUSTcyt

•

API 开发

Implements production-grade features and optimizations for LangChain-based agents while strictly adhering to project architecture and middleware specifications.

关于

This skill empowers Claude to act as a Senior Python Engineer, specializing in the development and optimization of complex AI Agent systems. It enforces a rigorous workflow that prioritizes architectural alignment by requiring the ingestion of core documentation before implementation, ensuring that new features, MCP tool integrations, and middleware modifications remain consistent with existing codebases. It is particularly useful for maintaining high code quality and system integrity in LLM applications that involve parallel tool-calling, budget constraints, and multi-layered safety checks.

主要功能

Senior Python Engineer Persona for production-grade code
Standardized MCP tool-calling and packaging strategies
16 GitHub stars
Architectural Context Loading from docs/ARCHITECTURE.md
Middleware-aware logic implementation and verification
Automated code consistency and safety pattern checks

使用场景

Refactoring middleware logic for enhanced tool budget and safety controls
Developing new travel planning capabilities for an existing LangChain agent
Integrating and wrapping new MCP tools within a standardized toolset

关于

主要功能

Senior Python Engineer Persona for production-grade code
Standardized MCP tool-calling and packaging strategies
16 GitHub stars
Architectural Context Loading from docs/ARCHITECTURE.md
Middleware-aware logic implementation and verification
Automated code consistency and safety pattern checks

使用场景

Refactoring middleware logic for enhanced tool budget and safety controls
Developing new travel planning capabilities for an existing LangChain agent
Integrating and wrapping new MCP tools within a standardized toolset