Skill UI

This skill provides implementation patterns for cost tuning within the Retell AI platform, specifically tailored for voice agents and complex telephony workflows. It helps developers build, monitor, and optimize the operational costs of AI-powered voice automation systems, ensuring efficient resource management when integrating real-time voice services.

Provides a hardened FastAPI endpoint for OpenMed's core functionalities: clinical Named Entity Recognition (NER), Personally Identifiable Information (PII) extraction, and de-identification. Designed for self-hosted microservices, it handles inference requests, model lifecycle management, and supports dynamic batching, ensuring secure, on-device processing of sensitive clinical data.

This skill applies the comprehensive NIST AI Risk Management Framework (AI 100-1) combined with the Generative AI Profile (AI 600-1). It helps professionals conduct detailed impact assessments, audit governance plans, or perform quick consultations by citing verbatim Subcategory and Action IDs. Ideal for compliance officers and AI risk leads.

Optimize multi-agent systems through coordinated profiling, workload distribution, and cost-aware orchestration. This skill helps improve agent performance, throughput, and reliability by identifying bottlenecks in workflows. It covers context window optimization, parallel execution strategies, and cost management for LLM usage. Suitable for engineering complex AI workflows requiring high efficiency and stability.

This meta-skill orchestrates all agents within the ecosystem, providing automatic skill scanning, capability matching, multi-skill workflow coordination, and registry management. It helps manage complex tasks by coordinating multiple AI tools without executing them directly, ensuring efficient resource allocation and task planning.