Skill UI

A comprehensive guide for developers planning Deepgram SDK version upgrades (v3/v4 to v5) and model migrations (Nova-2 to Nova-3). This resource details breaking changes, provides side-by-side API comparisons, and includes automated validation scripts to ensure smooth integration of new features and improved speech recognition capabilities.

This comprehensive guide helps developers select and implement optimal Vercel architecture blueprints based on project scale and complexity. It covers five validated patterns, ranging from simple static JAMstack sites and robust full-stack SaaS applications, to advanced multi-zone micro-frontend enterprise deployments. Use this resource when planning new deployments, optimizing scaling strategies, or structuring complex monorepos.

Automates importing live Azure environments into Terraform by discovering subscriptions, groups, or resource IDs, mapping dependencies, and generating AVM-based IaC files ready for validation and planning.

Detects host inventory including CPU, memory, disk, and accelerator limits for resource-aware planning. Generates a redacted JSON snapshot without stress tests. Supports Python 3.11+ on Linux, macOS, and Windows. Includes workload planning helpers and conservative capacity estimation.

A comprehensive guide to the three primary architecture patterns for integrating with Figma: CLI scripts, Webhook services, and dedicated plugins. This resource helps developers select the optimal pattern (REST vs. Plugin API) based on whether the use case requires real-time event handling, local automation, or in-editor component interaction. Ideal for planning robust Figma-connected applications like design token synchronization or linting.

A comprehensive guide and set of scripts for performing load testing and capacity planning for Anthropic's Claude API. This resource helps developers benchmark performance, anticipate traffic spikes, manage rate limits (RPM/ITPM/OTPM), and implement robust horizontal scaling strategies for mission-critical AI services using Python.

This skill provides a comprehensive guide to setting up robust CI/CD pipelines for Oracle Cloud Infrastructure (OCI). It leverages GitHub Actions and Terraform to automate the deployment, planning, and testing of OCI resources. Instructions cover secure API key authentication, best practices for managing Terraform state, and crucial workarounds for known OCI provider bugs, ensuring stable and reliable cloud deployments.

Provides comprehensive tools for managing high-performance GPU compute resources, including querying live inventory (e.g., H100/H200), submitting authenticated fixed-rate Requests for Quote (RFQ), inspecting procurement status, and validating nodes. Use this when planning to rent or purchase compute capacity and require detailed boundary explanations. Includes device credential management and node qualification.

Practical FinOps controls to reduce AWS spend: rightsizing, autoscaling, Savings Plans and Reserved Instance planning, storage lifecycle policies, budget and anomaly alerts, and cleanup of idle resources using AWS CLI.