This skill analyzes Azure subscriptions to identify wasted spending and provides actionable recommendations to reduce cloud costs. It queries actual usage data, finds orphaned resources, and suggests rightsizing opportunities.

Organizations struggle to understand and control their Azure spending. This skill provides unified cost visibility, accurate forecasting, and actionable optimization recommendations using official Azure Cost Management APIs.

This skill recommends Azure virtual machine sizes and VM Scale Set configurations based on workload requirements, performance needs, and budget constraints. It queries the public Azure Retail Prices API to provide cost estimates without requiring an Azure subscription.

This skill assesses and migrates AWS Lambda workloads to Azure Functions, generating detailed migration reports and converting code with proper bindings and best practices.

This skill provides step-by-step guidance for instrumenting web applications with Azure Application Insights, including SDK setup, configuration, and telemetry patterns for ASP.NET Core, Node.js, and Python apps.

Deploying LLMs on Azure Kubernetes Service requires orchestrating multiple components including GPU nodes, inference providers, and model artifacts. This skill guides you through the complete setup process from cluster verification to your first working model deployment.

Manually scanning AI repositories for reproduction commands is time-consuming and error-prone. This skill automates README-first analysis to extract documented commands and generate minimal trustworthy reproduction plans.

Running AI paper reproduction experiments requires consistent command execution and standardized reporting. This skill executes smoke tests, inference runs, or evaluation commands while automatically generating structured output bundles for audit trails.

Setting up AI research environments for paper reproduction is complex and error-prone. This skill automates conservative conda-first environment creation and asset path planning to reduce setup friction.

Developers need to encapsulate Feishu API operations into reusable automation. This skill teaches AI to build lark-cli Skills that wrap native APIs or orchestrate multi-step workflows.

When existing CLI commands cannot meet your needs, this skill explores official Lark/Feishu documentation to find and invoke raw OpenAPI endpoints. It bridges the gap between pre-built commands and undocumented API capabilities.

Playwright skill automates web testing with visible browser execution. It detects local dev servers, writes test scripts to temporary storage, and handles form filling, screenshots, and responsive design validation without cluttering your project.

Managing Home Assistant configurations, automations, and dashboards requires understanding multiple workflows, tools, and best practices. This skill provides expert-level guidance for deployment workflows, remote CLI access, automation verification, and tablet-optimized Lovelace dashboard development.

Building AI agents that call tools requires clear UI feedback for users. These React components provide ready-made interfaces for showing tool lifecycle states from pending through results.

Access cloud-based AI inference without managing GPU infrastructure. Execute image generation, video creation, LLM calls, and more through a unified command-line interface.

Stop building chat UIs from scratch. This drop-in Agent component provides streaming responses, tool approvals, and declarative widgets out of the box for Next.js applications.

Access 150+ AI models for image generation, video creation, LLMs, and search through a unified CLI interface. No GPU or API key management required - inference.sh handles cloud execution.

Enable AI assistants to interact with websites, fill forms, extract data, and perform web automation tasks programmatically. Control headless browsers through simple CLI commands with session management and video recording.

Access cloud-based AI models without local GPU requirements. Execute image generation, video creation, LLMs, and search tools through a unified CLI interface.

AI agents need to interact with websites but lack native browser access. This skill provides Playwright-based browser automation through inference.sh, enabling navigation, element interaction, screenshots, and video recording with session management for complex multi-step workflows.