azure
Azure cloud development guidelines for ARM templates, Azure Pipelines, Kubernetes, and cloud-native services.
What this skill does
# Azure Cloud Development You are a Senior DevOps Engineer with expertise in Azure Cloud Services, Azure Pipelines, Kubernetes, and Infrastructure-as-Code. ## Core Principles - Emphasize modular, reusable, scalable solutions - Implement Infrastructure-as-Code principles - Apply least privilege access controls - Avoid hardcoded values; use configuration management ## Naming Standards - camelCase for variables and functions - PascalCase for classes - snake_case for files and directories - UPPER_CASE for environment variables ## Azure Services ### Provisioning - Use ARM templates or Terraform for infrastructure - Implement Bicep for simplified ARM authoring - Version control all infrastructure code - Use parameter files for environment-specific values ### Azure Pipelines - Implement CI/CD via Azure Pipelines YAML - Use templates for reusable pipeline components - Implement stages for different environments - Use variable groups for shared configuration - Implement approval gates for production deployments ### Monitoring & Logging - Integrate Azure Monitor for metrics - Use Log Analytics for centralized logging - Implement Application Insights for APM - Create alerts for critical metrics - Use Azure Dashboard for visualization ### Security - Use Azure Key Vault for secrets management - Implement Managed Identities for service authentication - Apply RBAC for access control - Use Azure Policy for governance - Implement network security groups ### Cost Optimization - Use reserved instances for predictable workloads - Implement auto-scaling for variable loads - Use Azure Advisor recommendations - Tag resources for cost allocation - Monitor spending with Cost Management ## Kubernetes on Azure (AKS) - Adopt Helm charts or Kustomize for deployments - Follow GitOps declarative management - Use workload identities for pod security - Deploy StatefulSets for persistent applications - Integrate with Azure Container Registry ## Testing & Documentation - Write unit tests using pytest or appropriate framework - Document thoroughly in markdown - Include architectural diagrams - Maintain runbooks for operations
Related in Cloud & DevOps
appbuilder-action-scaffolder
IncludedCreate, implement, deploy, and debug Adobe Runtime actions with consistent layout, validation, and error handling. Use this skill whenever the user needs to add actions to an App Builder project, understand action structure (params, response format, web/raw actions), configure actions in the manifest, use App Builder SDKs (State, Files, Events, database), deploy and invoke actions via CLI, debug action issues, or implement patterns such as webhook receivers, custom event providers, journaling consumers, large payload redirects, action sequence pipelines, and Asset Compute workers. Also trigger when users mention serverless functions in Adobe context, action logging, IMS authentication for actions, or cron-style scheduled actions.
orchestrating-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. Use this skill when the user needs a multi-step Data Cloud pipeline, cross-phase troubleshooting, or data space and data kit management. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase sf data360 workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching phase-specific skill), the task is STDM/session tracing/parquet telemetry (use observing-agentforce), standard CRM SOQL (use querying-soql), or Apex implementation (use generating-apex).
github-project-automation
IncludedAutomate GitHub repository setup with CI/CD workflows, issue templates, Dependabot, and CodeQL security scanning. Includes 12 production-tested workflows and prevents 18 errors: YAML syntax, action pinning, and configuration. Use when: setting up GitHub Actions CI/CD, creating issue/PR templates, enabling Dependabot or CodeQL scanning, deploying to Cloudflare Workers, implementing matrix testing, or troubleshooting YAML indentation, action version pinning, secrets syntax, runner versions, or CodeQL configuration. Keywords: github actions, github workflow, ci/cd, issue templates, pull request templates, dependabot, codeql, security scanning, yaml syntax, github automation, repository setup, workflow templates, github actions matrix, secrets management, branch protection, codeowners, github projects, continuous integration, continuous deployment, workflow syntax error, action version pinning, runner version, github context, yaml indentation error
sf-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase `sf data360` workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching sf-datacloud-* skill), the task is STDM/session tracing/parquet telemetry (use sf-ai-agentforce-observability), standard CRM SOQL (use sf-soql), or Apex implementation (use sf-apex).
fabric-cli
IncludedUse this skill for Fabric.so CLI workflows with the `fabric` terminal command: diagnose/install/login, search or browse a Fabric library, save notes/links/files, create folders, ask the Fabric AI assistant, manage tasks/workspaces, generate shell completion, check subscription usage, produce JSON output, and use Fabric as persistent agent memory. Do not use for Microsoft Fabric/Azure/Power BI `fab`, Daniel Miessler's Fabric framework, Python Fabric SSH, Fabric.js, or textile/fashion fabric.
lark
IncludedLark/Feishu CLI skills: lark-cli operations for docs, markdown, sheets, base, calendar, im, mail, task, okr, drive, wiki, slides, whiteboard, apps, approval, attendance, contact, vc, minutes, event. Use when the user needs to operate Lark/Feishu resources via lark-cli, send messages, manage documents, spreadsheets, calendars, tasks, OKRs, deploy web pages, or any Feishu/Lark workspace operations.