model-selection

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.

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 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.