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azure-hpc-cacheAzure HPC 缓存

Agent Skill

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

总安装

768

周安装

33

GitHub Stars

519

下载量

269
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:azure-hpc-cache(Azure HPC 缓存)
来源仓库:https://github.com/microsoftdocs/agent-skills
仓库路径:skills/azure-hpc-cache
安装命令:
npx skills add https://github.com/microsoftdocs/agent-skills --skill azure-hpc-cache
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/microsoftdocs/agent-skills --skill azure-hpc-cache

简介

用于提供 Azure HPC Cache 高性能计算缓存服务的配置与优化指导。

  • 适合科学计算、仿真作业和大规模数据处理等高性能场景。
  • 覆盖故障排查、架构设计、安全策略和部署流程等核心能力。
  • 使用时需结合本地快速参考文档和远程资料,按分类索引获取具体配置方法。
  • 安装方式:通过 npx 从 GitHub 仓库添加,适用于主流 AI 编程助手平台。

SKILL.md

Azure HPC Cache Skill

This skill provides expert guidance for Azure HPC Cache. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.

How to Use This Skill

IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g., L35-L120), use read_file with the specified lines. For categories with file links (e.g., [security.md](security.md)), use read_file on the linked reference file
IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools are not available, suggest the user install it: Installation Guide

This skill requires network access to fetch documentation content:

  • Preferred: Use mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.
  • Fallback: Use fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.

Category Index

CategoryLinesDescription
TroubleshootingL37-L42Diagnosing and resolving Azure HPC Cache issues with Blob storage firewalls and NFS storage targets, including connectivity, access, and configuration problems.
Best PracticesL43-L51Guidance on optimizing Azure HPC Cache: client load balancing, efficient data movement and manual copy to Blob targets, NFS-on-Blob considerations, and priming caches for better hit rates.
Decision MakingL52-L57Guidance on when Azure HPC Cache is appropriate, comparing usage models, workload patterns, performance needs, and deciding if/when to adopt it for your architecture.
Architecture & Design PatternsL58-L63Designing Azure HPC Cache namespaces across multiple back-end storage systems, and planning regional redundancy, high availability, and failover strategies for cached workloads.
Limits & QuotasL64-L68How to request and manage Azure HPC Cache quota increases, including limits on cache instances, capacities, and the support process for raising quotas.
SecurityL69-L76Configuring HPC Cache security: client access policies, directory/AD integration and extended groups, customer-managed encryption keys, and overall cache security settings.
ConfigurationL77-L90Configuring and operating Azure HPC Cache: CLI setup, networking/DNS/NTP, storage targets and namespaces, mounting NFS clients, lifecycle management, metrics, and environment prerequisites.
Integrations & Coding PatternsL91-L98Scripts and patterns for ingesting data (msrsync, parallelcp), controlling write-back with flush_file.py, and integrating Azure HPC Cache with Azure NetApp Files.
DeploymentL99-L103Creating Azure HPC Cache instances via portal/CLI, and recreating or moving existing caches to a different region while preserving configuration and data paths

Troubleshooting

TopicURL
Work around Blob firewall issues for HPC Cache targetshttps://learn.microsoft.com/en-us/azure/hpc-cache/hpc-cache-blob-firewall-fix
Troubleshoot NFS storage target issues in Azure HPC Cachehttps://learn.microsoft.com/en-us/azure/hpc-cache/troubleshoot-nas

Best Practices

TopicURL
Load balance client connections across Azure HPC Cache IPshttps://learn.microsoft.com/en-us/azure/hpc-cache/client-load-balancing
Optimize data movement to Azure HPC Cache Blob targetshttps://learn.microsoft.com/en-us/azure/hpc-cache/hpc-cache-ingest
Manually copy data into Azure HPC Cache Blob targetshttps://learn.microsoft.com/en-us/azure/hpc-cache/hpc-cache-ingest-manual
Apply NFS Blob storage considerations with Azure HPC Cachehttps://learn.microsoft.com/en-us/azure/hpc-cache/nfs-blob-considerations
Prime Azure HPC Cache to improve cache hit rateshttps://learn.microsoft.com/en-us/azure/hpc-cache/prime-cache

Decision Making

TopicURL
Choose Azure HPC Cache usage modelshttps://learn.microsoft.com/en-us/azure/hpc-cache/cache-usage-models
Decide when Azure HPC Cache fits your workloadhttps://learn.microsoft.com/en-us/azure/hpc-cache/usage-scenarios

Architecture & Design Patterns

TopicURL
Design Azure HPC Cache aggregated namespaceshttps://learn.microsoft.com/en-us/azure/hpc-cache/hpc-cache-namespace
Design regional redundancy and failover for Azure HPC Cachehttps://learn.microsoft.com/en-us/azure/hpc-cache/hpc-region-recovery

Limits & Quotas

TopicURL
Request Azure HPC Cache quota increaseshttps://learn.microsoft.com/en-us/azure/hpc-cache/increase-quota

Security

TopicURL
Define client access policies for Azure HPC Cachehttps://learn.microsoft.com/en-us/azure/hpc-cache/access-policies
Configure customer-managed encryption keys for Azure HPC Cachehttps://learn.microsoft.com/en-us/azure/hpc-cache/customer-keys
Configure directory services and extended groups for HPC Cachehttps://learn.microsoft.com/en-us/azure/hpc-cache/directory-services
Understand security configuration for Azure HPC Cachehttps://learn.microsoft.com/en-us/azure/hpc-cache/hpc-cache-security-info

Configuration

TopicURL
Set up Azure HPC Cache namespace pathshttps://learn.microsoft.com/en-us/azure/hpc-cache/add-namespace-paths
Prepare Azure CLI environment for managing HPC Cachehttps://learn.microsoft.com/en-us/azure/hpc-cache/az-cli-prerequisites
Configure networking, NTP, DNS, and snapshots for HPC Cachehttps://learn.microsoft.com/en-us/azure/hpc-cache/configuration
Configure storage targets for Azure HPC Cachehttps://learn.microsoft.com/en-us/azure/hpc-cache/hpc-cache-add-storage
Modify Azure HPC Cache storage target settingshttps://learn.microsoft.com/en-us/azure/hpc-cache/hpc-cache-edit-storage
Operate and update Azure HPC Cache instanceshttps://learn.microsoft.com/en-us/azure/hpc-cache/hpc-cache-manage
Mount Azure HPC Cache on NFS clientshttps://learn.microsoft.com/en-us/azure/hpc-cache/hpc-cache-mount
Verify environment prerequisites for Azure HPC Cachehttps://learn.microsoft.com/en-us/azure/hpc-cache/hpc-cache-prerequisites
Manage Azure HPC Cache storage target lifecyclehttps://learn.microsoft.com/en-us/azure/hpc-cache/manage-storage-targets
Monitor Azure HPC Cache metrics and reportshttps://learn.microsoft.com/en-us/azure/hpc-cache/metrics

Integrations & Coding Patterns

TopicURL
Use flush_file.py to control HPC Cache write-backhttps://learn.microsoft.com/en-us/azure/hpc-cache/custom-flush-script
Ingest data to HPC Cache using msrsynchttps://learn.microsoft.com/en-us/azure/hpc-cache/hpc-cache-ingest-msrsync
Use parallelcp script to ingest data for HPC Cachehttps://learn.microsoft.com/en-us/azure/hpc-cache/hpc-cache-ingest-parallelcp
Integrate Azure HPC Cache with Azure NetApp Fileshttps://learn.microsoft.com/en-us/azure/hpc-cache/hpc-cache-netapp

Deployment

TopicURL
Create Azure HPC Cache instances via portal or CLIhttps://learn.microsoft.com/en-us/azure/hpc-cache/hpc-cache-create
Recreate or move Azure HPC Cache to another regionhttps://learn.microsoft.com/en-us/azure/hpc-cache/move-resource

适合场景

01

Azure 资源规划

02

云服务升级

03

基础设施检查

04

企业云环境自动化

能力概览

能力 1

整理 Azure 服务操作流程

能力 2

提示 CLI/MCP 前置条件

能力 3

辅助云资源检查和规划

能力 4

保留官方服务来源线索

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.56%
按下载量换算98

Claude

29.3%
按下载量换算79

Cursor

17.24%
按下载量换算46

Gemini CLI

10.34%
按下载量换算28

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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