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Open source projects and samples from Microsoft
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Select open pull requests for initial classification and distribute them to dedicated workers with a concurrency limit. Record why each request is included or excluded, without merging changes, assigning owners, or requesting reviewers.
Post or update one GitHub comment for an APM autopilot run. The skill assembles public or debug content, adds an AI-generated disclaimer, and supports previewing the assembled comment before posting.
Build an implementation queue from accepted GitHub issues and distribute them to dedicated workers. Record selection reasons, check for existing pull requests, and process the full queue with a configurable concurrency limit, defaulting to two workers.
Improve APM command-line messages so users can scan results and understand what to do next. It guides warning summaries, consistent colors and symbols, and shared logging code for progress, errors, and detailed output.
Review dependency handling, package downloads, credentials, and deployed file cleanup in APM. The skill defines checks for safe paths, centralized credential access, and refusing content when its integrity or signature cannot be verified.
Audit an entire documentation collection against current source code and command output. Check pages for outdated claims, obsolete options, and broken links, apply small corrections, and verify the edits before preparing changes for maintainer review.
Review an APM pull request through specialist agent perspectives selected for the changed areas. Findings are combined into one advisory comment with follow-up priorities and a shipping recommendation, leaving the final decision to maintainers and authors.
Draft a pull request description that explains the problem, implementation, trade-offs, and testing. It combines source-backed reasoning, validated Mermaid diagrams, and actual validation output into one Markdown file reviewers can assess on its own.
Plan documentation structure changes for a pull request, a proposed code change. Produce page outlines and a precise list of additions, moves, and retirements while checking reader learning paths, links, and redirects.
Select open or explicitly named issues for triage, an initial assessment and classification, then distribute them to dedicated workers. It filters ineligible items, records selection reasons, and runs two sessions concurrently by default.
Bring one selected pull request toward a mergeable state by reviewing feedback, applying changes within scope, and checking tests and CI, the automated build checks. Bounded retries produce a readiness result or a clear blocker without merging.
Review APM positioning, public documentation, release communication, and breaking-change decisions using GitHub evidence. Check that incompatible changes include changelog entries and migration notes, and resolve disagreements among the project's specialist reviewers.
Organize pull request reviews by selecting eligible labeled or explicitly named requests and distributing them to a dedicated worker pool. It records selection decisions and limits concurrent reviews, with two worker sessions by default.
Review OpenAPM specification changes through four specialist perspectives covering schemas, registries, dependency resolution, and web architecture. The skill combines findings and mechanical checks into one advisory comment, separating immediate fixes from work deferred to later versions.
Assess how a pull request affects documentation, classify the required updates, and coordinate writing, technical verification, and editorial review. The result is an advisory comment with proposed changes for affected pages or document structure.
Assess one selected pull request using its full discussion, reviews, and linked issues. Produce an advisory recommendation about its next step, with optional comments and labels, without reviewing the code diff or approving a merge.
Remediate Azure Advisor recommendations. WHEN: "fix Advisor recommendation".
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Use Azure Advisor recommendations. WHEN: "show Advisor recommendations", "service retirements", "update recommendation status". DO NOT USE FOR: fixes or remediation (use azure-advisor-actionability).
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Debug live Azure Kubernetes Service (AKS) incidents with a read-only, evidence-first investigation. WHEN: pod crashes or Pending, CrashLoopBackOff, OOMKilled, ImagePullBackOff, node NotReady, DNS or ingress failure, connectivity timeout, network policy, SNAT exhaustion, node-pool scaling blocked by QuotaExceeded or InsufficientVCPUQuota, upgrade stuck, spot or zone disruption, a bare VMExtensionProvisioningError or AllocationFailed wrapper, an uncataloged capacity symptom, or 'investigate my AKS cluster'. DO NOT USE FOR: packet capture (use aks-network-capture); GPU or model-serving issues (use aks-gpu-inference); cluster creation or provisioning (use azure-kubernetes); cost (use cost-analysis from the optional azure-cost plugin); pod rightsizing (use azure-kubernetes); a fully qualified documented AKS signature with every required nested qualifier (use aks-known-issues); standalone failures on non-AKS Azure resources (use azure-diagnostics). Unqualified errors and open-ended incidents stay here only for AKS.
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Builds an Azure portal deep link to a specific blade/menu item for supported Microsoft.ContainerService, Microsoft.Kubernetes, and Microsoft.Compute resources using the aks-search-direct-mid semantic search API. WHEN: 'find where in the Azure portal to do something', 'search the portal for an operation', 'construct a portal link from a search query and a resource'.
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Diagnose Day-2 AKS GPU and KAITO incidents using profile-aware, read-only evidence. WHEN: 'Insufficient nvidia.com/gpu', GPU pod Pending, model-load OOM, DCGM/VRAM, KAITO Workspace not ready, or GPU autoscaling. DO NOT USE FOR: setup (airunway-aks-setup), non-GPU incidents (aks-troubleshooting), standalone VM quota (azure-quotas), or generic cost (cost-analysis or cost-optimization from the optional azure-cost plugin).
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Collects bounded packet captures from AKS nodes and Azure network configuration for wire-level evidence. WHEN: "capture packets on an AKS node", "take a pcap", "run tcpdump on AKS", "prove where packets drop". Use for explicit packet-capture intent after read-only diagnostics, not general AKS connectivity or ingress troubleshooting.
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Lookup documented AKS fixes only when the prompt includes an exact catalog signature and all of its qualifiers: VMCannotFitEphemeralOSDisk; NodePoolMcVersionIncompatible; 'NodeImageVersion is not accepted'; AKS SkuNotAvailable with size, location, and zone; ZonalAllocationFailed with insufficient zone capacity; OverconstrainedAllocationRequest with listed constraints; nested AKS vmssCSE/CSE VMExtensionError_OutboundConnFail, VMExtensionError_K8SAPIServerConnFail, or VMExtensionError_K8SAPIServerDNSLookupFail; or AllocationFailed with the full cataloged internal-error or insufficient-regional-capacity message. Never use for quota errors, code-only or bare wrappers, generic symptoms, incomplete signatures, or failures outside AKS; use aks-troubleshooting or azure-diagnostics.
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Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
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