基础设施与 DevOps技能

Choose and use Azure Storage services for files, shared folders, queues, and structured data. Covers listing and transferring blobs, comparing storage tiers by access frequency, redundancy options, and lifecycle management, with MCP tools and CLI examples.

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• Upload and download files in Blob Storage
• List storage accounts, containers, and blobs
• Compare Hot, Cool, Cold, and Archive tiers

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.

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• Deploy a Flask or Django application to Azure App Service
• Configure startup and deploy a FastAPI application
• Create missing resources needed to host a Python application

Check whether an application is ready for Azure deployment by validating configuration, infrastructure definitions, role assignments, and managed identity permissions. Follow a staged workflow that records progress and identifies issues to resolve before deployment.

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• Check deployment readiness
• Validate azure.yaml and Bicep
• Review role assignments and managed identity permissions

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.

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• Learn the basics of Application Insights
• Choose an instrumentation method for a hosting environment
• Review SDK setup for ASP.NET Core, Node.js, or Python

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.

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• Checking remaining resource allowance before deployment
• Comparing quota availability across Azure regions
• Investigating quota exceeded errors

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.

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• Finding an Azure skill for a specific task
• Finding skills missing from the current agent setup
• Checking which plugin contains a matching skill

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.

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• Create a separate identity for each agent instance
• Assign permissions to individual agents
• Configure authentication on behalf of users

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.

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• Investigating App Service high CPU or deployment failures
• Diagnosing Container Apps startup problems and 503 errors
• Troubleshooting AKS failures or VM connection problems

Route Azure virtual machine requests to workflows for choosing sizes, comparing prices, creating machines or scale sets, reserving capacity, and managing machine enrollment and monitoring. Helps identify the appropriate process for each infrastructure task.

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• Compare VM sizes and prices for a workload
• Create a VM or Virtual Machine Scale Set
• Reserve VM capacity and manage associations

Publish a finished Agentlas agent or team package to private Cloud or the public Agentlas Hub. The flow confirms the destination first, prepares and checks one package snapshot, then reports the verified upload state and any server response.

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• Publishing a finished agent package
• Choosing private Cloud or public Hub
• Previewing and submitting a team package

Publish an Agentlas package to Agent Cloud or the public Hub. It forwards the request to the companion upload workflow, which provides the authoritative steps for handling the package and publication destination.

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• Publishing a package to Agent Cloud
• Uploading an Agentlas package to the public Hub
• Following the package upload workflow

Use this skill to upload, publish, or list a finished Agentlas agent or team in Cloud or the public Agentlas Hub. It asks for the destination first, then uses one reviewed package snapshot and reports the server-confirmed publication state.

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• Publishing a finished agent to Cloud
• Publishing a team to the public Agentlas Hub
• Listing or uploading an Agentlas package

Scan and prepare an Agentlas agent or team package for distribution to private Agentlas Cloud or the public Agentlas Hub. It provides a security and publishing gate through the supported upload commands; the full execution protocol is defined by the related hephaestus-upload skill.

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• Preparing a package for private Cloud upload
• Preparing an agent for public Hub publishing
• Scanning a team package before distribution

Guide an Azure incident through triage, diagnosis, mitigation planning, and root cause analysis. The skill helps gather impact and timeline details, shape Azure Monitor queries, consider risks and rollback steps, and organize a post-incident report for human review.

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• Triage an Azure service incident
• Draft Azure Monitor diagnostic queries
• Organize mitigation and rollback steps

Defines shared, OpenTelemetry-aligned names and conventions for traces, metrics, logs, and resource attributes. It also explains cardinality limits and PII redaction choices, helping teams describe telemetry consistently without prescribing a specific SDK or vendor.

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• Planning consistent telemetry names
• Reviewing trace, metric, and log fields
• Handling PII in emitted telemetry

Organize Azure cloud security planning and reviews around the MCSB v2 control domains. The skill includes domain-level mappings to NIST SP 800-53 Rev. 5 and CIS Controls v8.1, giving teams a shared vocabulary for assessing resources.

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• Plan an Azure resource security review
• Map MCSB domains to NIST or CIS controls
• Check the control areas relevant to an Azure design

Turn performance and reliability expectations into measurable service level indicators and objectives, error budgets, traffic profiles, and a load test matrix. The plan also outlines capacity, graceful degradation, production metrics, and follow-up work; it does not run tests.

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• Setting service level objectives before launch
• Planning steady, peak, spike, and soak load profiles
• Defining latency and capacity budgets

Turns supported infrastructure files or a declared data catalog into an architecture diagram in the requested ASCII or Mermaid format. It shows confirmed components and relationships while keeping inferred catalog links visibly distinct and avoiding unsupported assumptions.

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• Visualizing cloud infrastructure from configuration files
• Preparing a diagram for an architecture review
• Rendering declared data catalog relationships

Configure GitHub Copilot telemetry export and prepare a place to inspect it. Generate a local Grafana stack and dashboard, or templates for collecting an organization's data in Azure and viewing it there.

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• Enable Copilot telemetry export in VS Code
• Create a local Grafana stack and dashboard
• Prepare organization wide settings distribution

Builds and ships iOS/macOS apps with XcodeGen, SwiftUI and SPM: Xcode build fixes, device deployment, Apple Developer signing/notarization, CI/CD pipelines. Use for XcodeGen project.yml setup, "Library not loaded @rpath" crashes, code-signing errors (Error -25294, adhoc fallback), or Electron notarization failures. Not for TCC permission dialogs (use macos-permissions) or disk cleanup (use macos-cleaner).

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Diagnoses and safely reclaims macOS disk space: caches, logs, app remnants, large/duplicate files, Docker/OrbStack, Chromium code-sign clones, developer caches. Use when a Mac is low on storage, shows “Caching needs more space”, or before deleting anything to avoid data loss. Not for Windows/Linux or permission issues (use macos-permissions).

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MUST be used first for tunnel / proxy-path connectivity failures or slow throughput (网络故障 / 连不上 / 代理或隧道下超时). Diagnoses Tailscale, proxy, TUN, DNS and SSH-tunnel problems on macOS and Windows/WSL, e.g. Tailscale ping works but SSH fails, curl works but browser gets 503, Git/Docker fails behind the proxy, or downloads crawl despite a reachable proxy. Not for application-layer bugs (use debugging-network-issues).

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Diagnoses and designs safe Terraform releases, provisioners (remote-exec/local-exec/file, cloud-init, Compose, Caddy), multi-environment isolation, and fresh-host bootstrap. Use when writing or reviewing plan/apply wrappers or provisioners; when staging/production config may differ; when a rollout can mutate a shared gateway; or debugging drift, TLS, container restarts, DNS duplication, or snapshot contamination.

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Investigate and resolve Cloudflare configuration issues using API-driven evidence gathering. Use when troubleshooting ERR_TOO_MANY_REDIRECTS, SSL errors, DNS issues, or any Cloudflare-related problems. Focus on systematic investigation using Cloudflare API to examine actual configuration rather than making assumptions.

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