Cloud, CI/CD, monitoring, and deployment (6.8K skills)
Render Quarto slide files as HTML and sync the slides and their related assets into `docs/` for GitHub Pages. It also checks that expected files and interactive content are present before reporting the deployment result.
Creates cloud architecture diagrams for AWS, Azure, or GCP using official provider icons and recognizable network groupings. It can derive a diagram from Terraform code or render one from a JSON description, with editable and image output formats.
Troubleshoot desktop JVM build and release issues involving native libraries, packaging, code signing, memory, deep links, Gradle, and CI. The skill organizes practical failure patterns and verification steps for apps that behave differently across operating systems or CPU architectures.
Prepare remediation steps for Azure Advisor recommendations using the affected resource’s details. Guidance comes from the Advisor remediation tool or public Microsoft Learn documentation, with warnings, verification steps, and clear source attribution.
Review Azure Advisor recommendations and service retirement information, including totals, breakdowns, and affected resources. Update recommendation states with confirmation, and route requests to implement fixes to the separate azure-advisor-actionability skill.
Investigate live Azure Kubernetes Service incidents through read-only checks of logs, events, and resource state. Trace workload, node, networking, or upgrade failures and produce an incident report with supporting evidence, confidence, and proposed remediation.
Find the Azure portal screen for a specific operation and generate a direct link. Provide a supported resource’s URL or resource ID plus a plain-language query to locate the relevant menu.
Collect bounded packet captures from AKS nodes or pods alongside Azure network settings. Use the captured traffic as evidence when investigating where packets are lost, after initial checks that do not change the environment.
Investigate GPU and KAITO failures in AKS using read-only evidence. Helps distinguish scheduling problems, memory shortages, workspace readiness issues, and scaling failures, then organizes findings with confidence levels and missing evidence.
Find documented fixes for known AKS errors by matching the exact error message and required conditions. Get an explanation of the cause, a proposed fix, a Microsoft Learn reference, and read-only verification steps.
Investigate Azure production failures by reviewing resource health, logs, performance metrics, and recent changes. Service-specific guidance helps narrow down causes and document findings, using supplied evidence or live diagnostics when access is permitted.
Find installable agent skills for Azure and Microsoft cloud tasks. The skill searches a catalog, checks candidate descriptions, identifies the plugin containing each match, and provides installation guidance for the agent client in use.
Deploy an existing web app or API to Azure Kubernetes Service. The skill detects the framework, creates container and deployment files, checks AKS safety requirements, and verifies the deployment.
Analyze existing Azure resources for waste and oversized capacity, and review Reservations or Savings Plans, Azure spending commitments. The skill separates measured costs from potential savings and recommends changes without modifying resources or purchasing commitments.
Check Azure quotas, the limits on resource usage, alongside current usage and remaining allowance. Compare regions before deployment, investigate quota errors, and submit requests to increase adjustable limits using Azure CLI.
Deploy Flask, Django, FastAPI, or other Python code to Azure App Service on Linux. The skill creates missing hosting resources, configures startup and deployment builds, and selects Azure CLI or azd based on the project.
Create separate Microsoft Entra identities for AI agent instances and configure their permissions. The skill guides Microsoft Graph provisioning, token exchange, actions on behalf of users, cross-tenant authentication, and shared authentication containers for multiple programming languages.
Configure Azure API Management as a shared gateway for AI models, tools, and agents. Apply usage limits, caching, content checks, and load balancing, then test requests and track token consumption.
Learn how to collect monitoring data from Azure-hosted web apps with Application Insights. Provides guidance on automatic and manual instrumentation, SDK configuration, and resource setup, with references for ASP.NET Core, Node.js, Python, and Container Apps.
Assess whether an application is ready for Azure before infrastructure planning. Inspect source files and configuration without running builds or tests, then report component readiness, dependency compatibility, deployment blockers, and preparation needed before deployment.
Plan, deploy, and operate rack-scale Azure Local environments with hundreds of machines. Guides workload management, managed networking, monitoring, and troubleshooting for multi-rack deployments, with specific procedures and checks for infrastructure changes.
Assess and carry out upgrades within Azure, including Functions hosting plans and Redis migrations. Guides readiness checks, settings transfer, deployment, and validation, with a separate workflow for updating legacy Azure Java SDK code.
Assess existing AKS clusters or local Kubernetes configuration files for AKS Automatic compatibility. Identify migration blockers, distinguish required changes from automatic adjustments, and present proposed file changes and migration steps.
Find and list Azure resources across subscriptions and resource groups. Use it to build an inventory, count resources by type, check missing tags, or discover unattached disks through dedicated tools and Azure Resource Graph queries.