Skill UI

A comprehensive guide to implementing robust observability for Ideogram AI image generation APIs. Learn how to track critical metrics such as generation duration (latency), estimated API costs, error rates, and content safety rejections. This skill involves instrumenting API calls using TypeScript, integrating cost estimation, and setting up Prometheus alerting rules to ensure stable and reliable AI operation.

This utility provides robust cost control mechanisms for integrating AI generation APIs. It implements daily budget enforcement, per-request cost estimation, and usage alerting. Developers can use it to prevent unexpected overspending and effectively manage credits and resources when building AI-powered applications.

Facilitates protein characterization experiment design using Adaptyv Bio Foundry API and Python SDK. Allows cost estimation, sequence submission, progress monitoring, and result retrieval for binding screening and affinity assays. Requires bearer token authentication and Python 3.11+.

This skill provides a comprehensive guide to optimizing costs when using AssemblyAI for speech-to-text transcription. It details model selection (Best vs. Nano), guides feature budgeting (e.g., Diarization, Sentiment Analysis), and includes code examples for cost estimation and usage tracking. Use this when managing billing, reducing operational expenses, or implementing budget alerts for high-volume audio processing.

Expert guidance for the Fabric CLI (fab) and REST APIs covering workspaces, items, lakehouses, notebooks, pipelines, semantic models, reports, capacities, OneLake, deployment, and admin, including capacity unit cost estimation.

This skill provides expert guidance on AWS cost optimization, monitoring, and operational excellence. It integrates MCP servers for cost estimation, analysis, CloudWatch metrics, alarms, and security auditing. Use it to analyze bills, estimate deployment costs, set up observability, and assess security posture effectively.