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Agent Skill · 开发

alz-accelerator-skill(alz 加速器技能)

alz-accelerator-skill 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

alz-accelerator-skill 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有未通过项,按安装量在开发类的 21,746 个 Skill 里排第 21,446。

总安装 188周安装 8GitHub Stars 61下载 66核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:alz-accelerator-skill(alz 加速器技能)
来源仓库:https://github.com/julianobarbosa/claude-code-skills
仓库路径:skills/alz-accelerator-skill
安装命令:
npx skills add https://github.com/julianobarbosa/claude-code-skills --skill alz-accelerator-skill
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/julianobarbosa/claude-code-skills --skill alz-accelerator-skill

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

alz-accelerator-skill 指导使用 Azure Verified Modules (AVM) 部署标准化 Landing Zones 架构。适用于云基础设施即代码 (IaC) 部署、多租户环境搭建或合规性要求严格的 Azure 项目。

集成 ALZ Accelerator 工具链,提供从资源模块组合到 IAM 策略配置的完整工作流。部署前需准备订阅权限与区域白名单,确保符合企业安全基线与成本管控策略。推荐采用渐进式部署模式,先验证沙箱环境再推广至生产账户组。

来源仓库内路径:skills/alz-accelerator-skill

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/julianobarbosa/claude-code-skills --skill alz-…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

alz-accelerator-skill 怎么安装?

在终端执行 npx skills add https://github.com/julianobarbosa/claude-code-skills --skill alz-accelerato…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

alz-accelerator-skill 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

alz-accelerator-skill 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

alz-accelerator-skill 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

alz-accelerator-skill 用的人多吗?

公开数据是累计安装 188 次,近一周安装 8 次,下载 66 次,GitHub 61 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

alz-accelerator-skill 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
alz-accelerator-skill

alz 加速器技能 · 本页

18861接触敏感数据未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Azure Landing Zones Accelerator Skill

Deploy Azure Landing Zones using the ALZ Accelerator with Azure Verified Modules (AVM). This skill captures the recommended workflow, decision framework, and best practices from the ALZ core team.

Key Concepts

AVM (Azure Verified Modules): An infrastructure-as-code standard for deploying Azure resources following best practices. AVM has resource modules (single resources) and pattern modules (complex architectural patterns composed from resource modules). AVM is the only recommended way to deploy Azure Landing Zones infrastructure.

ALZ Accelerator: A tool that bootstraps the entire Azure Landing Zone deployment including CI/CD pipelines, version control, and infrastructure configuration. It uses AVM modules under the hood.

Deployment Stacks (Bicep): Used by the Bicep accelerator to handle resource lifecycle management, eliminating the pain of manually managing policy assignments and resource deletions.

Decision Framework: Bicep vs Terraform

Guide the user through this decision before proceeding with deployment.

When to Choose Terraform

  • Team already has Terraform expertise
  • Multi-cloud strategy (AWS, GCP, Azure) — avoids learning two IaC languages
  • Terraform ALZ modules are more mature (released ~early 2025) with full configuration via tfvars
  • Need for state-based drift detection

When to Choose Bicep

  • Azure-only organization with no multi-cloud plans
  • Team familiar with ARM templates or Azure-native tooling
  • No state file to manage (pro and con — simpler ops but less drift visibility)
  • Microsoft ARM/Bicep product groups recommend Bicep for Azure-only shops
  • Bicep ALZ released ~Feb 2026 with full AVM support, deployment stacks, and customizable modules

Neutral Position

  • Both use AVM modules — same underlying resource definitions
  • Both are supported by the accelerator with identical bootstrapping UX
  • The gap between them is closing rapidly in 2026
  • Default recommendation: Match the team's existing skills

Accelerator Deployment Workflow

Prerequisites

  1. Install the ALZ PowerShell module: Install-Module -Name ALZ
  2. Ensure you have:

- Azure CLI or PowerShell authenticated - GitHub PAT or Azure DevOps PAT (depending on VCS choice) - At least 4 platform subscriptions: Management, Connectivity, Identity, Security - A bootstrap subscription for state storage and identities

Step 1: Launch the Accelerator

Deploy-Accelerator

The accelerator runs interactively with guided prompts. No parameters are required (as of the latest release).

Step 2: Software Checks

The accelerator validates required software is installed. Address any missing dependencies before proceeding.

Step 3: Choose Cache Location

Select where to store temporary files during setup. The default is usually fine.

Step 4: IaC Language Selection

Choose between:

  • Terraform — More mature configuration, everything via tfvars
  • Bicep — Azure-native, no state file, deployment stacks for lifecycle management

Step 5: Version Control & CI/CD Platform

Choose from:

  • GitHub (default, recommended)
  • Azure DevOps
  • Local filesystem (for custom bootstrapping)

Step 6: Connectivity Scenario

Select the networking topology:

  • Hub and Spoke — Traditional hub-spoke with VNet peering (most common)
  • Virtual WAN — Azure Virtual WAN managed hub
  • Multi-region variants of the above

Step 7: Interactive Configuration

The accelerator queries Azure for your existing resources and presents selection prompts:

  1. Bootstrap region — Where to deploy state storage and identities
  2. Root management group — Parent MG for the ALZ hierarchy
  3. Platform subscriptions:

- Management subscription (Log Analytics, monitoring) - Identity subscription (Active Directory, DNS) - Connectivity subscription (Hub VNet, Firewall, VPN/ER gateways) - Security subscription (Sentinel, Defender)

  1. Bootstrap subscription — For Terraform state storage and managed identities

Step 8: Naming Convention

Accept defaults or customize resource naming patterns for the bootstrap resources.

Step 9: Runner Configuration

Choose between:

  • Self-hosted runners — Recommended for private networking
  • Microsoft-hosted runners — Simpler but requires public endpoints

If self-hosted, choose whether to enable private networking (storage accounts not publicly accessible).

Step 10: Authentication

Provide:

  • Personal Access Token — GitHub PAT or Azure DevOps PAT (stored as environment variable, never in config files)
  • GitHub/ADO organization name
  • Apply approver — Username that approves plan-to-apply stage

Step 11: Review & Open in IDE

The accelerator generates configuration files and opens them in VS Code. Review and update:

  1. Platform landing zone config:

- Primary and secondary deployment regions (e.g., UK South, UK West) - Defender email security contact

  1. Sensitive values are stored as environment variables in the current terminal session, not in plain text files

Step 12: Bootstrap Deployment

Confirm the configuration is complete. The accelerator bootstraps:

  • State storage (Terraform) or deployment stack (Bicep)
  • Managed identities for CI/CD
  • GitHub repos/Azure DevOps projects with pipelines
  • Branch policies and approvals

Post-Deployment

After the accelerator completes:

  1. CI/CD pipelines are created in your chosen VCS
  2. Plan/What-If stage runs automatically on PR
  3. Apply/Deploy stage requires approval from the configured approver
  4. Subsequent changes are made through the configuration files and pushed through the pipeline

AVM Module Architecture

The ALZ deployment uses these key AVM pattern modules:

ModulePurpose
Management GroupsHierarchy: Tenant Root → Platform (Mgmt, Conn, Identity) → Landing Zones (Corp, Online)
ManagementLog Analytics workspace, Automation Account, monitoring
Connectivity (Hub-Spoke)Hub VNet, Azure Firewall, VPN/ER Gateways, DNS
Connectivity (vWAN)Virtual WAN, Virtual Hubs, routing
IdentityDNS zones, domain controllers networking
PolicyAzure Policy assignments, custom policy definitions

You can use these modules standalone (compose them yourself) or through the accelerator (recommended path).

Rules

  1. Always use AVM modules — Never deploy ALZ resources with raw azurerm/azapi resources when an AVM module exists
  2. Use the accelerator — Don't manually compose the modules unless you have a specific reason; the accelerator handles bootstrapping, CI/CD, and configuration
  3. Match team skills — Don't push Terraform on a Bicep team or vice versa
  4. Private networking for production — Use self-hosted runners with private networking for any production deployment
  5. Never store PATs in config files — The accelerator uses environment variables for sensitive values; maintain this pattern
  6. Four platform subscriptions minimum — Management, Connectivity, Identity, Security — don't collapse them
  7. Plan before apply — Always review the plan/what-if output before approving deployment
  8. Customize via config, not module edits — For Terraform, all customization goes through tfvars. For Bicep, you can edit modules directly but prefer the config approach when possible

Troubleshooting

IssueResolution
Deployment stacks bugs (Bicep)Known limitations — what-if not fully supported. Check ALZ GitHub issues
Policy assignment conflictsUse the separated custom vs default policy structure (Bicep 2026 release)
State file management (Terraform)State is bootstrapped automatically; don't manually modify the backend config
Upgrade pain from old ALZ versionsThe new Bicep release decouples your customizations from upstream modules

Resources

  • Questions form: aka.ms/alz/quests
  • ALZ documentation: aka.ms/alz
  • AVM registry: aka.ms/avm
  • ALZ Accelerator docs: aka.ms/alz/accelerator

平台分布

Codex

34.32%
按下载量换算23

Claude

30.08%
按下载量换算20

Cursor

17.18%
按下载量换算11

Gemini CLI

9.16%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

未通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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