ai-security

This Claude Skill automatically guides model and provider selection for LLM applications. It provides patterns for cost optimization, fallback strategies, and multi-model routing across providers like OpenAI and Anthropic. Use it when implementing model comparison, provider failover, or performance/cost trade-offs in your LLM system.

This Claude Skill automatically guides multi-agent system design by enforcing proper tool schema creation with Pydantic, managing agent states, and implementing robust error handling. It provides orchestration patterns for reliable tool-calling workflows and agent routing. Use it when building complex agent systems to ensure maintainable and structured interactions.

This skill automatically guides model and provider selection for LLM applications. It provides patterns for cost optimization, fallback strategies, and multi-model routing across providers like OpenAI and Anthropic. Use it when implementing model comparison, provider failover, or cost-performance optimization in your LLM system.

This Claude Skill automatically activates during LLM performance evaluation to ensure proper metrics and testing. It handles evaluation datasets, computes metrics, facilitates A/B testing, and implements LLM-as-judge patterns. Use it when you need structured experiment tracking and rigorous performance assessment for your LLM applications.