Azure Copilot
MicrosoftDocs/Agent-Skills
Expert knowledge for Azure Copilot development including troubleshooting, decision making, architecture & design patterns, security, configuration, and integrations & coding patterns.
Design Azure architectures for startups and enterprises. An agent skill from alirezarezvani/claude-skills.
$ npx skills add alirezarezvani/claude-skills --skill azure-cloud-architect -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install alirezarezvani/claude-skills azure-cloud-architect --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/engineering-team/skills/azure-cloud-architect .claude/skills/azure-cloud-architect && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "azure-cloud-architect" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering-team/skills/azure-cloud-architect into .claude/skills/azure-cloud-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-cloud-architect", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/alirezarezvani/claude-skills/tree/main/engineering-team/skills/azure-cloud-architectType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add alirezarezvani/claude-skills --skill azure-cloud-architect -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install alirezarezvani/claude-skills azure-cloud-architect --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/engineering-team/skills/azure-cloud-architect .agents/skills/azure-cloud-architect && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "azure-cloud-architect" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering-team/skills/azure-cloud-architect into .agents/skills/azure-cloud-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-cloud-architect", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alirezarezvani/claude-skills --skill azure-cloud-architect -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install alirezarezvani/claude-skills azure-cloud-architect --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/engineering-team/skills/azure-cloud-architect .cursor/skills/azure-cloud-architect && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "azure-cloud-architect" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering-team/skills/azure-cloud-architect into .cursor/skills/azure-cloud-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-cloud-architect", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/alirezarezvani/claude-skills.git --path engineering-team/skills/azure-cloud-architect--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add alirezarezvani/claude-skills --skill azure-cloud-architect -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install alirezarezvani/claude-skills azure-cloud-architect --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/engineering-team/skills/azure-cloud-architect .gemini/skills/azure-cloud-architect && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "azure-cloud-architect" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering-team/skills/azure-cloud-architect into .gemini/skills/azure-cloud-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-cloud-architect", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install alirezarezvani/claude-skills azure-cloud-architectInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add alirezarezvani/claude-skills --skill azure-cloud-architect -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/engineering-team/skills/azure-cloud-architect .github/skills/azure-cloud-architect && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "azure-cloud-architect" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering-team/skills/azure-cloud-architect into .github/skills/azure-cloud-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-cloud-architect", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add alirezarezvani/claude-skills --skill azure-cloud-architect -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install alirezarezvani/claude-skills azure-cloud-architect --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/engineering-team/skills/azure-cloud-architect .opencode/skills/azure-cloud-architect && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "azure-cloud-architect" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/engineering-team/skills/azure-cloud-architect into .opencode/skills/azure-cloud-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-cloud-architect", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
azure-cloud-architectDesign Azure architectures for startups and enterprises. An agent skill from alirezarezvani/claude-skills.
Azure Cloud Architect is an agent skill from alirezarezvani/claude-skills. Design Azure architectures for startups and enterprises. Use when asked to design Azure infrastructure, create Bicep/ARM templates, optimize Azure costs, set up Azure DevOps pipelines, or migrate to Azure. Covers AKS, App Service, Azure Functions, Cosmos DB, and cost optimization.
Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/architecture_patterns.md`, `references/best_practices.md` and `references/service_selection.md`).
It sits in DevOps & Cloud, covering Cloud architecture and Infrastructure as code. It works with Microsoft Azure, Bicep, Azure Cosmos DB and Azure DevOps. The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 19392f7. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonazFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use az, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Azure Cloud Architect loads about 3.4k tokens when it runs, and up to ~14k if it reads all its reference files. Until then it costs about 76 tokens; SKILL.md has 802 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 802 words, ~3,419 tokens.
.claude/skills/azure-cloud-architect/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.Design scalable, cost-effective Azure architectures for startups and enterprises with Bicep infrastructure-as-code templates.
Collect application specifications:
- Application type (web app, mobile backend, data pipeline, SaaS, microservices)
- Expected users and requests per second
- Budget constraints (monthly spend limit)
- Team size and Azure experience level
- Compliance requirements (GDPR, HIPAA, SOC 2, ISO 27001)
- Availability requirements (SLA, RPO/RTO)
- Region preferences (data residency, latency)Run the architecture designer to get pattern recommendations:
python scripts/architecture_designer.py \
--app-type web_app \
--users 10000 \
--requirements '{"budget_monthly_usd": 500, "compliance": ["SOC2"]}'Example output:
{
"recommended_pattern": "app_service_web",
"service_stack": ["App Service", "Azure SQL", "Front Door", "Key Vault", "Entra ID"],
"estimated_monthly_cost_usd": 280,
"pros": ["Managed platform", "Built-in autoscale", "Deployment slots"],
"cons": ["Less control than VMs", "Platform constraints", "Cold start on consumption plans"]
}Select from recommended patterns:
See references/architecture_patterns.md for detailed pattern specifications.
Validation checkpoint: Confirm the recommended pattern matches the team's operational maturity and compliance requirements before proceeding to Step 3.
Create infrastructure-as-code for the selected pattern:
# Web app stack (Bicep)
python scripts/bicep_generator.py --arch-type web-app --output main.bicepExample Bicep output (core web app resources):
@description('The environment name')
param environment string = 'dev'
@description('The Azure region for resources')
param location string = resourceGroup().location
@description('The application name')
param appName string = 'myapp'
// App Service Plan
resource appServicePlan 'Microsoft.Web/serverfarms@2023-01-01' = {
name: '${environment}-${appName}-plan'
location: location
sku: {
name: 'P1v3'
tier: 'PremiumV3'
capacity: 1
}
properties: {
reserved: true // Linux
}
}
// App Service
resource appService 'Microsoft.Web/sites@2023-01-01' = {
name: '${environment}-${appName}-web'
location: location
properties: {
serverFarmId: appServicePlan.id
httpsOnly: true
siteConfig: {
linuxFxVersion: 'NODE|20-lts'
minTlsVersion: '1.2'
ftpsState: 'Disabled'
alwaysOn: true
}
}
identity: {
type: 'SystemAssigned'
}
}
// Azure SQL Database
resource sqlServer 'Microsoft.Sql/servers@2023-05-01-preview' = {
name: '${environment}-${appName}-sql'
location: location
properties: {
administrators: {
azureADOnlyAuthentication: true
}
minimalTlsVersion: '1.2'
}
}
resource sqlDatabase 'Microsoft.Sql/servers/databases@2023-05-01-preview' = {
parent: sqlServer
name: '${appName}-db'
location: location
sku: {
name: 'GP_S_Gen5_2'
tier: 'GeneralPurpose'
}
properties: {
autoPauseDelay: 60
minCapacity: json('0.5')
}
}Full templates including Front Door, Key Vault, Managed Identity, and monitoring are generated by
bicep_generator.pyand also available inreferences/architecture_patterns.md.
Bicep is the recommended IaC language for Azure. Prefer Bicep over ARM JSON templates: Bicep compiles to ARM JSON, has cleaner syntax, supports modules, and is first-party supported by Microsoft.
Analyze estimated costs and optimization opportunities:
python scripts/cost_optimizer.py \
--config current_resources.json \
--jsonExample output:
{
"current_monthly_usd": 2000,
"recommendations": [
{ "action": "Right-size SQL Database GP_S_Gen5_8 to GP_S_Gen5_2", "savings_usd": 380, "priority": "high" },
{ "action": "Purchase 1-year Reserved Instances for AKS node pools", "savings_usd": 290, "priority": "high" },
{ "action": "Move Blob Storage to Cool tier for objects >30 days old", "savings_usd": 65, "priority": "medium" }
],
"total_potential_savings_usd": 735
}Output includes:
Set up Azure DevOps Pipelines or GitHub Actions with Azure:
# GitHub Actions — deploy Bicep to Azure
name: Deploy Infrastructure
on:
push:
branches: [main]
permissions:
id-token: write
contents: read
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: azure/login@v2
with:
client-id: ${{ secrets.AZURE_CLIENT_ID }}
tenant-id: ${{ secrets.AZURE_TENANT_ID }}
subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
- uses: azure/arm-deploy@v2
with:
resourceGroupName: rg-myapp-dev
template: ./infra/main.bicep
parameters: environment=dev# Azure DevOps Pipeline
trigger:
branches:
include:
- main
pool:
vmImage: 'ubuntu-latest'
steps:
- task: AzureCLI@2
inputs:
azureSubscription: 'MyServiceConnection'
scriptType: 'bash'
scriptLocation: 'inlineScript'
inlineScript: |
az deployment group create \
--resource-group rg-myapp-dev \
--template-file infra/main.bicep \
--parameters environment=devValidate security posture before production:
If deployment fails:
az deployment group show \
--resource-group rg-myapp-dev \
--name main \
--query 'properties.error'az bicep build --file main.bicep
az deployment group validate \
--resource-group rg-myapp-dev \
--template-file main.bicepCommon failure causes:
az provider register --namespace Microsoft.WebGenerates architecture pattern recommendations based on requirements.
python scripts/architecture_designer.py \
--app-type web_app \
--users 50000 \
--requirements '{"budget_monthly_usd": 1000, "compliance": ["HIPAA"]}' \
--jsonInput: Application type, expected users, JSON requirements Output: Recommended pattern, service stack, cost estimate, pros/cons
Analyzes Azure resource configurations for cost savings.
python scripts/cost_optimizer.py --config resources.json --jsonInput: JSON file with current Azure resource inventory Output: Recommendations for:
Generates Bicep template scaffolds from architecture type.
python scripts/bicep_generator.py --arch-type microservices --output main.bicepOutput: Production-ready Bicep templates with:
Ask: "Design an Azure web app for a startup with 5000 users"
Result:
- App Service (B1 Linux) for the application
- Azure SQL Serverless for relational data
- Azure Blob Storage for static assets
- Front Door (free tier) for CDN and routing
- Key Vault for secrets
- Estimated: $40-80/monthAsk: "Design a microservices architecture on Azure for a SaaS platform with 50k users"
Result:
- AKS cluster with 3 node pools (system, app, jobs)
- API Management for gateway and rate limiting
- Cosmos DB for multi-model data
- Service Bus for async messaging
- Azure Monitor + Application Insights for observability
- Multi-zone deploymentAsk: "Design an event-driven backend for processing orders"
Result:
- Azure Functions (Consumption plan) for compute
- Event Grid for event routing
- Service Bus for reliable messaging
- Cosmos DB for order data
- Application Insights for monitoring
- Estimated: $30-150/month depending on volumeAsk: "Design a data pipeline for ingesting 10M events/day"
Result:
- Event Hubs for ingestion
- Stream Analytics or Functions for processing
- Data Lake Storage Gen2 for raw data
- Synapse Analytics for warehouse
- Power BI for dashboardsProvide these details for architecture design:
| Requirement | Description | Example |
|---|---|---|
| Application type | What you're building | SaaS platform, mobile backend |
| Expected scale | Users, requests/sec | 10k users, 100 RPS |
| Budget | Monthly Azure limit | $500/month max |
| Team context | Size, Azure experience | 3 devs, intermediate |
| Compliance | Regulatory needs | HIPAA, GDPR, SOC 2 |
| Availability | Uptime requirements | 99.9% SLA, 1hr RPO |
JSON Format:
{
"application_type": "saas_platform",
"expected_users": 10000,
"requests_per_second": 100,
"budget_monthly_usd": 500,
"team_size": 3,
"azure_experience": "intermediate",
"compliance": ["SOC2"],
"availability_sla": "99.9%"
}| Anti-Pattern | Why It Fails | Do This Instead |
|---|---|---|
| ARM JSON templates for new projects | Verbose, hard to read, no modules | Use Bicep — compiles to ARM, cleaner syntax |
| Storing secrets in App Settings | Secrets visible in portal, no rotation | Use Key Vault references in App Settings |
| Single large AKS node pool | Cannot optimize for different workloads | Use multiple node pools: system, app, jobs |
| Public endpoints on PaaS services | Exposed attack surface | Use Private Endpoints + VNet integration |
| Over-provisioning "just in case" | Wastes budget month one | Start small, use autoscale, right-size monthly |
| Shared resource groups for everything | Blast radius, RBAC nightmares | One resource group per environment per workload |
| No tagging strategy | Cannot track costs or ownership | Tag: environment, owner, cost-center, app-name |
| Using classic resources | Deprecated, limited features | Use ARM/Bicep resources exclusively |
| Skill | Relationship |
|---|---|
engineering-team/aws-solution-architect | AWS equivalent — same 6-step workflow, different services |
engineering-team/gcp-cloud-architect | GCP equivalent — completes the cloud trifecta |
engineering-team/senior-devops | Broader DevOps scope — pipelines, monitoring, containerization |
engineering/terraform-patterns | IaC implementation — use for Terraform modules targeting Azure |
engineering/ci-cd-pipeline-builder | Pipeline construction — automates Azure DevOps and GitHub Actions |
| Document | Contents |
|---|---|
references/architecture_patterns.md | 5 patterns: web app, microservices/AKS, serverless, data pipeline, multi-region |
references/service_selection.md | Decision matrices for compute, database, storage, messaging, networking |
references/best_practices.md | Naming conventions, tagging, RBAC, network security, monitoring, DR |
© alirezarezvani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 6 other files (scripts, references) in engineering-team/skills/azure-cloud-architect of alirezarezvani/claude-skills.
Open the folder on GitHubat commit 19392f7
Azure Cloud Architect next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Azure Cloud Architect this skillalirezarezvani/claude-skills | 28k | — | ~3.4k | Automated safety check: Pass | MIT | |
| Azure CopilotMicrosoftDocs/Agent-Skills | 777 | — | ~1.4k | Automated safety check: Pass | CC-BY-4.0 | |
| Azure Architecture Autopilotgithub/awesome-copilot | 40k | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Azure Bicep Skilltimothywarner-org/claude-code | 224 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Azure Preparemicrosoft/GitHub-Copilot-for-Azure | 255 | 1 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Azure Validatemicrosoft/GitHub-Copilot-for-Azure | 255 | 1 repos | ~880 | Automated safety check: Pass | MIT |
MicrosoftDocs/Agent-Skills
Expert knowledge for Azure Copilot development including troubleshooting, decision making, architecture & design patterns, security, configuration, and integrations & coding patterns.
github/awesome-copilot
Designs Azure infrastructure from a natural-language description, or diagrams an existing resource group, then refines the design through conversation and deploys it with Bicep.
timothywarner-org/claude-code
A skill your agent uses when authoring, reviewing, or refactoring Azure Bicep code.
microsoft/GitHub-Copilot-for-Azure
Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow.
microsoft/GitHub-Copilot-for-Azure
Pre-deployment validation for Azure readiness. An agent skill from microsoft/GitHub-Copilot-for-Azure.
jonathan-vella/apex
WORKFLOW SKILL — Pre-deployment validation for Azure: config, infrastructure (Bicep/Terraform), permissions, prerequisites.
alirezarezvani/claude-skills
Writes INVEST-checked user stories with acceptance criteria, splits epics, plans sprints from velocity and ranks the backlog with a weighted score.
alirezarezvani/claude-skills
OKR cascade toolkit for product leaders: generates aligned company-to-team OKRs from five strategy types and scores how well they line up.
alirezarezvani/claude-skills
App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store.
alirezarezvani/claude-skills
Design AWS architectures for startups using serverless patterns and IaC templates.
alirezarezvani/claude-skills
Calculates attribution, funnel and ROI figures for marketing campaigns with three Python scripts that need only the standard library.
alirezarezvani/claude-skills
Reverse-engineers a frontend, backend or fullstack codebase into a product requirements document with per-page docs, an enum dictionary and an API inventory.
Categories
Design Azure architectures for startups and enterprises. An agent skill from alirezarezvani/claude-skills. Azure Cloud Architect is an agent skill from alirezarezvani/claude-skills. Design Azure architectures for startups and enterprises.
Azure Cloud Architect fits situations like: asked to design Azure infrastructure; create Bicep/ARM templates; optimize Azure costs; set up Azure DevOps pipelines.
Run `npx skills add alirezarezvani/claude-skills --skill azure-cloud-architect -a claude-code`. Or copy the skill folder (engineering-team/skills/azure-cloud-architect in alirezarezvani/claude-skills) into .claude/skills/azure-cloud-architect in your project. Claude Code loads it when a task matches its description.
Run `npx skills add alirezarezvani/claude-skills --skill azure-cloud-architect -a codex`. Or copy the skill folder (engineering-team/skills/azure-cloud-architect in alirezarezvani/claude-skills) into .agents/skills/azure-cloud-architect in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alirezarezvani/claude-skills --skill azure-cloud-architect -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/azure-cloud-architect, .gemini/skills/azure-cloud-architect, .github/skills/azure-cloud-architect and .opencode/skills/azure-cloud-architect in your project.
Going by SKILL.md and its folder, Azure Cloud Architect needs Python for the scripts in its folder and the command-line tools its instructions call (python and az). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Azure Cloud Architect is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.4k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 10k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Azure Cloud Architect: Azure Copilot (MicrosoftDocs/Agent-Skills, 777 stars), Azure Architecture Autopilot (github/awesome-copilot, 40k stars), Azure Bicep Skill (timothywarner-org/claude-code, 224 stars) and Azure Prepare (microsoft/GitHub-Copilot-for-Azure, 255 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,829 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.
Source: alirezarezvani/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.