Skill Details
Runtime
(claude-4-6-sonnet)
Example user message
[userMessage]: "I need to build a multi-agent system for a customer support bot that can check order status, process returns, and escalate to a human. Use LangGraph and Python."
Example agent response
I have analyzed the request. Following the Agentic Architecture Framework, I will prioritize the State Schema and Modular Orchestration before implementation.
<Scene_Analysis: Architectural Logic>
To ensure reliability, we must avoid a monolithic agent. I will implement a Router Pattern with a shared SupportState. This prevents logic loops by explicitly defining transitions between lookup, action, and escalation nodes.
1. State Definition (Pydantic)
Python
from pydantic import BaseModel, Field
from typing import List, Optional
class SupportState(BaseModel):
user_id: str
order_history: List[dict] = []
current_intent: Optional[str] = None
is_escalated: bool = False
agent_logs: List[str] = Field(default_factory=list)
2. Modular Tool Definitions
I will now generate the standardized tool wrappers with built-in error handling and structured logging as per the framework requirements...
[Proceeding to generate modular nodes for OrderTracker and ReturnProcessor with 45-degree error-handling logic...]
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CLAUDE-4-6-SONNET
A specialized .cursorrules framework engineered for modular Agentic workflows and RAG development. This skill establishes architectural guardrails by prioritizing strict state management, chain-of-thought reasoning, and standardized error-handling protocols. Designed to promote scalable software patterns and modular routing, it assists developers in maintaining consistency and technical rigor throughout complex AI-assisted projects.
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Added 3 weeks ago
