Azure Toolkit Pro automates enterprise Azure infrastructure management, multi-region deployment, compliance auditing, security scanning, monitoring, and cost optimization.
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Azure Toolkit Pro is an enterprise Azure operations skill for AI agents, developers, and platform teams. It provides structured workflows for managing compute, storage, networking, databases, security, monitoring, AI/ML, and analytics services across Azure environments.
As part of Openclaw Skills, it extends basic Azure CLI operations with infrastructure as code using Bicep, Terraform, or ARM, multi-region deployment, disaster recovery, compliance checks, security scans, budget analysis, and actionable optimization recommendations. It supports Windows, macOS, and Linux, accepts Chinese or English interaction, and returns structured results with status codes, output data, and logs.
input describing the Azure management task.options configure the execution mode, output format, IaC engine, regions, standards, or other preferences; callback_url can be used for asynchronous completion notifications.SKILL.md, including Claude Code, Cursor, Codex, or Gemini CLI.pip install -r requirements_pro.txt
pip install azure-identity azure-mgmt-compute azure-mgmt-resource
pip install azure-mgmt-monitor
# macOS example
brew install terraform
az bicep install
cp config_pro_template.yaml config_pro.yaml
AZURE_SUBSCRIPTION_ID, AZURE_workspace_id, AZURE_CLIENT_ID, and AZURE_CLIENT_SECRET. Prefer environment-based or CI/CD secret storage and never commit credentials to source control.<skill-script> below with the executable script supplied in the skill directory, then validate access with a read-only operation before creating or changing resources.# Generate a multi-region Bicep template
python3 <skill-script> generate \
--template "web_app_ha" \
--engine "bicep" \
--regions "eastus,westus2" \
--output ./bicep/
# Deploy the generated infrastructure
python3 <skill-script> deploy \
--template ./bicep/main.bicep \
--parameters params.json \
--location eastus
# Run a compliance audit
python3 <skill-script> run \
--standards "CIS,Azure-Security-Benchmark,ISO27001" \
--output audit_report.pdf
# Analyze and optimize costs without applying changes
python3 <skill-script> analyze --period "3m" --output cost_report.xlsx
python3 <skill-script> optimize --apply-recommendations --dry-run
# Run a security scan
python3 <skill-script> scan --output security_report.pdf
Review Azure permissions, region availability, billing implications, and the skill's safety requirements before enabling write or deployment operations.
The skill uses parameterized inputs, configuration files, and structured execution responses.
| Data area | Format or field | Purpose |
|---|---|---|
| Primary request | input string |
Required natural-language instruction or Azure operation request |
| Optional configuration | options object |
Execution mode, formatting preferences, regions, standards, and workflow options |
| Async notification | callback_url string |
Optional completion callback for long-running operations |
| Region topology | YAML regions |
Primary and secondary Azure regions for deployment and disaster recovery |
| Infrastructure | YAML infrastructure |
IaC engine, state backend, and state storage configuration |
| Service inventory | YAML services |
Compute, database, storage, networking, security, monitoring, and analytics selections |
| Governance | YAML audit |
Compliance standards, audit schedule, and Azure Policy enablement |
| Cost controls | YAML cost |
Analysis period, recommendations, monthly budget, and alert threshold |
| Security controls | YAML security |
Scan frequency, Defender for Cloud, and vulnerability scanning settings |
| Recovery policy | YAML disaster_recovery |
Enablement, RPO, RTO, and cross-region recovery settings |
| Execution response | Status, result, logs | Structured outcome for each operation, including diagnostics |
Common generated artifacts include ./bicep/ templates, deployment parameter files, audit_report.pdf, cost_report.xlsx, and security_report.pdf. The taxonomy covers Azure service domains such as compute, storage, networking, databases, security, monitoring, AI/ML, and analytics. Resource credentials, API keys, and tokens should not appear in generated output or logs.
input_params workflow.Loading
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