cloud▌

Aws Skills \n Overview \n AWS development with infrastructure automation and cloud architecture patterns \n When to Use This Skill \n Use this skill when you need to work with aws development with infrastructure automation and cloud architecture patterns. \n Instructions \n This skill provides guidance and patterns for aws development with infrastructure automation and cloud architecture patterns. \n For more information, see the source repository .

Identify cost savings across Azure subscriptions through resource analysis, utilization metrics, and actionable optimization recommendations. \n \n Discovers orphaned resources (unattached disks, unused NICs, idle gateways) and over-provisioned services using Azure Quick Review \n Queries actual costs from Azure Cost Management API and utilization data from Azure Monitor to support rightsizing recommendations \n Generates prioritized optimization reports with estimated savings, implementation co

Assess and migrate cloud workloads from AWS, GCP, and other providers to Azure services. \n \n Supports Lambda-to-Azure Functions migration with dedicated scenario reference and best practices \n Generates assessment reports mapping source services to Azure equivalents before any code conversion \n Converts source code to target Azure runtime models, with output isolated in a separate <source-folder>-azure/ directory \n Requires sequential phase execution: assessment first, then migration,

Scaffold and deploy Cloudflare Workers projects with Hono routing, Vite dev server, and Static Assets. \n \n Guides you through project setup in four steps: understanding requirements, scaffolding structure, configuring bindings (D1, R2, KV), and deploying to production \n Provides ready-to-use asset files including wrangler.jsonc , vite.config.ts , Hono app entry point, and TypeScript configuration \n Documents critical patterns for export syntax, SPA fallback with API route protection, Vite pl

Configure and manage CloudBase authentication providers including anonymous, SMS, email, WeChat, Google, and OAuth methods. \n \n Supports 8+ authentication methods: anonymous login, username/password, SMS, email (Tencent Cloud or custom SMTP), WeChat Open Platform, Google OAuth, SAML, CAS, and Dingding \n Query current login strategy via DescribeLoginStrategy , then modify provider settings with ModifyLoginStrategy or ModifyProvider API calls \n Email authentication offers dual configuration: b

Design scalable, cost-effective AWS architectures for startups with infrastructure-as-code templates. \n \n Recommends architecture patterns (serverless web, event-driven microservices, three-tier, GraphQL) based on application type, scale, budget, and compliance requirements \n Generates production-ready CloudFormation YAML, CDK TypeScript, and Terraform templates with API Gateway, Lambda, DynamoDB, ECS, Aurora, and IAM configurations \n Analyzes current AWS costs and identifies optimization op

ln-731-docker-generator

HTTP API access to CloudBase platform features including database, authentication, functions, storage, and hosting. \n \n Supports MySQL RESTful API for CRUD operations on database tables via GET, POST, PATCH, DELETE endpoints with field selection, filtering, pagination, and sorting \n Requires authentication via AccessToken (user permissions), API Key (admin permissions), or Publishable Key (anonymous access); tokens passed in Authorization header \n Provides unified domain endpoints for domest

Build optimized, secure multi-stage Dockerfiles for any language or framework. \n \n Structures builds with separate builder and runtime stages, copying only necessary artifacts to minimize final image size and attack surface \n Emphasizes layer caching optimization by ordering commands from least to most frequently changing, combined with .dockerignore and command consolidation \n Recommends minimal base images (Alpine, distroless, or official slim variants) with exact version pinning for repro

End-to-end deployment, evaluation, and lifecycle management for Microsoft Foundry agents. \n \n Covers the complete agent development lifecycle: create, deploy (Docker build, ACR push), invoke, evaluate, optimize prompts, and troubleshoot \n Organized into specialized sub-skills for deploy, invoke, observe (evaluation and prompt optimization), trace, troubleshoot, and dataset curation from production traces \n Supports both prompt-based agents (LLM-backed) and hosted agents (container-based cust