Skill UI

This skill automates the deployment of the dispatcher PCF for third-party components to Power Platform environments. It rigorously verifies all necessary prerequisites (Node.js, .NET SDK, `pac` CLI) and executes `pac pcf push`. It guides the user through defining the publisher prefix, managing version bumps, and ensures the component is correctly packaged and deployed to the target environment.

A comprehensive guide detailing how to transform an Unreal Engine 5 project into a runnable, distributable build. It covers all aspects of the build pipeline, including selecting appropriate configurations (Development vs. Shipping), cooking content, setting the game default map, and executing the build via both the editor GUI and the command line (RunUAT BuildCookRun). Essential for releasing stable, optimized games.

Create a comprehensive Dynamics 365 Finance and Supply Chain Management solution blueprint through structured architect interviews. Covers scope, architecture, integration, security, and deployment strategies. Ideal for initiating D365 implementations and defining architectural decisions without assumptions.

Comprehensive guidelines for DevOps workflows including infrastructure design, CI/CD pipelines, container management with Docker and Kubernetes, health checks, rollback strategies, feature flags, and mobile release processes. Ensures production readiness and security compliance across various environments.

This skill provides defense-in-depth security controls for AI agents, covering prompt injection detection, input validation, tool abuse prevention, data exfiltration mitigation, and privilege escalation protection. It includes threat modeling with STRIDE, code examples for input sanitization, and guidance for secure agent deployment.

A comprehensive guide to building production-ready Apache Airflow Directed Acyclic Graphs (DAGs). This skill covers best practices for operators, sensors, testing, deployment, and designing robust data pipelines. Use this when orchestrating complex workflows, managing ETL processes, or ensuring reliable batch job execution in a production environment.

Comprehensive expert for deploying and managing AI agents at scale using AWS Bedrock AgentCore. Covers nine core services including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, and Evaluations. Provides deployment patterns, integration workflows, and AWS CLI usage.

This skill provides comprehensive guidance for developing AWS infrastructure using the Cloud Development Kit (CDK). It supports TypeScript and Python, helping users create new stacks, refactor existing infrastructure, and implement Lambda functions. It includes best practices for resource naming, pre-deployment validation using cdk-nag, and integration with MCP servers for AWS knowledge access. Ideal for cloud architects and developers building scalable serverless applications.

This skill enables deploying containerized applications on Amazon ECS using Fargate serverless compute or EC2 launch types. It covers configuring task definitions, services, load balancing, and managing deployment strategies like rolling updates. Prerequisites include AWS CLI, Docker, and specific IAM permissions. Ideal for serverless container workloads on AWS infrastructure.

Build AI applications on Microsoft Foundry with the azure-ai-projects Python SDK: create and version agents, add tools like code interpreter and file search, manage threads and runs, connections, deployments, datasets, indexes, and run evaluations.

A comprehensive workflow bundle covering the entire cloud-native development lifecycle. It guides users through critical phases, including cloud infrastructure setup (AWS, Azure, GCP, Terraform IaC), container orchestration with Kubernetes, robust CI/CD pipeline automation, observability implementation, security hardening, cost optimization, and disaster recovery planning. This ensures best practices across all stages of modern application deployment.

Cloudflare Pages enables deploying static sites and full-stack applications globally with edge functions. It supports preview deployments per pull request, custom domains, and TLS. Users can manage projects via Wrangler CLI or the dashboard, integrating with GitHub/GitLab. Features include serverless functions, middleware, and bindings for KV, D1, and R2, facilitating server-side logic alongside static content.