Stephanie Schofield
Community@stephschofield · Dallas, TX
FDE at Microsoft
Agent Skills by Stephanie Schofield
Showing 35 vetted skills indexed across 2 GitHub repositories.
stephschofieldfile-todos
Manages file-based todo tracking with markdown files, YAML frontmatter, and dependency workflows.
stephschofieldazure-diagnostics
Diagnose Azure Container Apps and Function Apps issues using KQL log queries and health checks.
stephschofieldazure-compliance
Audit Azure resources for compliance, security posture, and Key Vault expiration issues.
stephschofieldmicrosoft-foundry
Deploy, evaluate, and manage Azure AI Foundry agents and model deployments end-to-end.
stephschofieldazure-hosted-copilot-sdk
Scaffold, configure, and deploy GitHub Copilot SDK applications to Azure Container Apps.
stephschofieldappinsights-instrumentation
Guides instrumentation of web applications with Azure Application Insights telemetry.
stephschofieldcompound-docs
Capture solved problems as categorized markdown documentation with validated YAML frontmatter.
stephschofieldazure-deploy
Execute Azure deployments for prepared applications using azd, Bicep, Terraform, or Azure CLI.
stephschofieldazure-rbac
Finds least-privilege Azure RBAC roles and generates CLI and Bicep role assignment code.
stephschofieldazure-cost-optimization
Analyze Azure subscriptions to identify cost savings and generate prioritized optimization recommendations.
stephschofieldazure-compute
Recommends Azure VM sizes and VM Scale Set configurations using public documentation and the Retail Prices API.
stephschofieldazure-validate
Validates Azure deployment readiness by checking configuration, infrastructure templates, and permissions before deployment.
stephschofieldazure-resource-lookup
Query and list Azure resources across subscriptions using Azure Resource Graph KQL.
stephschofieldentra-app-registration
Guides Microsoft Entra ID app registration, OAuth 2.0 flows, and MSAL integration.
stephschofieldazure-aigateway
Configure Azure API Management as an AI gateway for models, MCP tools, and agents.
stephschofieldazure-ai
Implements Azure AI Search, Speech, OpenAI, and Document Intelligence integrations via MCP tools and SDK references.
stephschofieldweb-search
Performs web research using Brave Search MCP tools with fetch-based fallback.
stephschofieldazure-storage
Manage Azure Blob, Queue, Table, File Share, and Data Lake storage via MCP tools, CLI, and SDKs.
stephschofieldgit-worktree
Manages Git worktrees for isolated parallel development with automated environment file copying.
stephschofieldazure-cloud-migrate
Assess and migrate AWS Lambda workloads to Azure Functions with structured reports.
stephschofieldazure-messaging
Diagnose and resolve Azure Event Hubs and Service Bus SDK connection, authentication, and message processing errors.
stephschofieldazure-prepare
Generates Azure infrastructure, configuration, and Dockerfiles through a plan-first deployment preparation workflow.
stephschofieldazure-resource-visualizer
Generate Mermaid architecture diagrams from Azure resource group analysis.
stephschofieldresolve-pr-parallel
Resolves unresolved GitHub PR review threads by spawning parallel agents per comment.
Frequently Asked Questions About Stephanie Schofield
FAQPage SchemaWhat tasks can I accomplish with Stephanie Schofield's skill registry?▼
You can prepare and deploy Azure applications with Bicep or Terraform, troubleshoot Container Apps and Function Apps via KQL, audit compliance and Key Vault expirations, optimize subscription costs, assign least-privilege RBAC roles, register Entra ID apps with OAuth 2.0, and deploy Azure OpenAI models with capacity discovery.
Who is the target audience for these skills?▼
Cloud engineers, Azure solution architects, and DevOps practitioners managing production Azure estates. Secondary audiences include frontend developers applying Vercel React/Next.js performance patterns and shadcn/ui standards, plus product managers generating structured PRDs from feature ideas.
What is the practical deployment workflow these skills support?▼
The pipeline runs azure-prepare to generate infrastructure files, azure-validate for preflight checks on configuration and permissions, then azure-deploy to execute azd up or terraform apply. Post-deployment, azure-diagnostics and appinsights-instrumentation handle monitoring and root-cause analysis.
Are these skills open source and what do they cost?▼
The Microsoft-authored skills carry MIT licenses at no cost, covering azure-deploy, azure-diagnostics, azure-compliance, microsoft-foundry, and others. Usage itself is free, though executing deployments provisions billable Azure resources under your own subscription.
What prerequisites and dependencies are required?▼
Azure skills require the Azure CLI (az), with azure-aigateway explicitly requiring it for configuration and testing. Deployment skills require an existing .azure/plan.md from azure-prepare and validated status from azure-validate. Some skills like file-todos and compound-docs disable model invocation and run locally.