agent-orchestration-patterns

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.

The ai-security skill automatically applies security protections for AI/LLM applications. It provides prompt injection detection, PII redaction, output filtering, and content moderation. Use this skill when building LLM applications that need built-in security guardrails.

This Claude Skill automatically provides RAG system design patterns when building retrieval-augmented generation applications. It offers guidance on document chunking strategies, vector database selection, embedding management, and retrieval optimization techniques. Developers should use it when implementing RAG systems to ensure proper architecture and performance.

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.