Build a stateful LangGraph operator for real-time gate access control.
npx skills add https://github.com/javierd009/sitnova --skill langgraph-sitnova
Please help me install this Agent Skill. Skill: langgraph-sitnova Source: https://github.com/javierd009/sitnova/tree/main/.claude/skills/langgraph-sitnova Command: npx skills add https://github.com/javierd009/sitnova --skill langgraph-sitnova
This skill provides a blueprint for building SITNOVA, an intelligent access control system that replaces human security guards with an AI operator. It solves the challenge of automating complex, real-time decision-making for vehicle and visitor access using LangGraph's stateful capabilities.
To implement the SITNOVA LangGraph skill, first define your OperatorState TypedDict.
Then, create tools for check_authorized_vehicle, capture_plate_ocr, open_gate, and log_access_event.
Assemble your StateGraph with nodes like greeting_node, validate_visitor_node, and open_gate_node, adding conditional edges to manage the flow.
High-intent search queries and answers about installing and using this skill.
Automate access control by building a stateful AI operator with LangGraph that integrates OCR for license plate and ID card recognition, resident lookup, and conditional authorization logic. The system reads vehicle plates and visitor credentials, verifies against a database, contacts residents for approval via notifications, and controls gate opening while logging all events for audit compliance.
Yes. LangGraph's StateGraph enables stateful, multi-step decision flows for security gates. You define an OperatorState to track context across interactions, create nodes for validation and routing, and add conditional edges that branch based on authorization checks, OCR results, and resident responses, all within latency constraints.
Integrate OCR tools to capture and parse license plates and cédulas, database query tools to verify resident and visitor status, notification tools to contact residents (e.g., WhatsApp), and gate control tools to trigger access. Assemble these as LangGraph tool nodes within your StateGraph workflow.
Use LangGraph's checkpointing to maintain tenant-specific state isolation and ensure every decision point is logged. Each access event—OCR result, authorization check, gate action—is recorded with context, creating an immutable audit trail that satisfies compliance requirements for residential security infrastructure.
Deploy a stateful AI operator built with LangGraph that automates the full decision chain: detect vehicles, read plates via OCR, query resident databases, seek approval for visitors, apply conditional authorization rules, and log outcomes. This approach handles real-time constraints and multi-tenant scenarios while maintaining audit safety.
Yes. LangGraph's conditional routing allows separate branches for pre-authorized vehicles (license plate verification) and visitors (ID card recognition and resident approval). The same StateGraph manages both flows, routing to appropriate validation nodes and gate control actions based on access type.
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