Skill UI

This is the Azure Resource Manager SDK for .NET, designed to streamline the deployment and management of Weights & Biases (W&B) ML experiment tracking instances directly through Azure Marketplace. It allows developers to programmatically create, configure, and manage W&B environments, including setting up marketplace details, managing admin users, configuring Single Sign-On (SSO), and ensuring robust ML observability within an Azure ecosystem. Ideal for MLOps pipelines.

This is the Azure Resource Manager SDK for .NET, designed to streamline the deployment and management of Weights & Biases (W&B) ML experiment tracking instances directly through Azure Marketplace. It allows developers to programmatically create, configure, and manage W&B environments, including setting up marketplace details, managing admin users, configuring Single Sign-On (SSO), and ensuring robust ML observability within an Azure ecosystem. Ideal for MLOps pipelines.

This SDK provides full management plane capabilities for Azure Cache for Redis within the .NET ecosystem. It allows developers to provision, configure, and manage various aspects of the Redis resource using the Azure Resource Manager (ARM) framework. Key functions include creating and updating cache instances, managing network firewall rules, rotating access keys, scheduling patch updates, and performing data import/export operations.

A comprehensive guide and expert skill for mastering Atlassian Jira. Covers project setup, advanced JQL querying, workflow design, issue tracking, automation rules, reporting, and dashboard creation. Essential for technical configuration and operational optimization of Jira instances.

This guide details how to integrate Vast.ai's GPU provisioning capabilities into automated CI/CD pipelines, such as GitHub Actions. It enables developers to run GPU-accelerated tests, model benchmarks, and validations automatically. Key features include robust instance lifecycle management (provisioning, running, and cleanup) and advanced cost-control mechanisms (e.g., setting budget limits) to ensure reliable and efficient testing in a cloud environment.

A comprehensive guide to installing and configuring the Vast.ai Command Line Interface (CLI) and REST API access. This skill is used for setting up new cloud integrations, managing API keys, and initializing access to GPU compute instances from the Vast.ai marketplace. It provides steps for CLI authentication, environment variable setup, and implementing a Python client for resource management.

This guide details how to implement environment isolation (dev, staging, prod) for GPU cloud deployments on Vast.ai. It uses environment variables and configuration classes to enforce separate API keys, budget caps, instance limits, and GPU whitelists for each deployment tier, ensuring efficient resource management and cost control.

This comprehensive guide outlines security best practices for utilizing Vast.ai's cloud environment. It covers secure API key management, hardening SSH access to GPU instances, implementing proper data cleanup before instance destruction, and adhering to robust network security protocols. Use this when setting up, auditing, or deploying sensitive AI/ML workloads on shared cloud hardware.

Build automated pipelines to respond to AWS GuardDuty findings. This solution uses EventBridge to detect high-severity threats and triggers a Lambda function. The function automatically quarantines compromised resources (e.g., EC2 instances), creates forensic EBS snapshots, and sends detailed notifications via SNS, drastically reducing Mean Time To Respond (MTTR). Ideal for proactive cloud security posture management.

This technique audits user interaction flows (like button clicks) to detect subtle bugs that static analysis often misses. It specifically tracks the full sequence of state changes, identifying instances where later actions unintentionally cancel, contradict, or leave the UI in an inconsistent state due to state store side effects or race conditions. Ideal for debugging complex state management architectures (Redux, Zustand).

A skill for creating, editing, validating, syncing, and troubleshooting n8n workflows using n8n-as-code. Manages workspace environments, local instances, tunnels, and workflow operations through command-line interfaces. Supports environment configuration, API key management, and workflow lifecycle management.

Provides advanced control over browser debugging protocols (CDP). Use this skill when the user needs to connect to an external, running Chrome instance, scan local CDP ports, or explicitly launch the browser with a fixed debug port. It is specifically designed for complex automation scenarios where multiple tools or agents need to attach to the browser instance.