Total 50,396 skills, DevOps & Cloud Services has 3048 skills
Showing 12 of 3048 skills
Expert in Windows Server, Active Directory (AD DS), Hybrid Identity (Entra ID), and PowerShell automation.
SSH into an Ubuntu VPS (Docker) for a read-only health/security/update report (UFW + fail2ban) and propose fixes; apply updates/restarts only with explicit confirmation. Use when the user wants a read-only VPS health/security check.
This skill should be used when the user asks about resource usage, CPU, memory, network, disk, or service performance. Covers questions like "how much memory is my service using" or "is my service slow".
Comprehensive Azure DevOps REST API skill for work items, pipelines, repos, test plans, wikis, and search operations via MCP tools and direct API calls
Use when implementing infrastructure as code with Terraform across AWS, Azure, or GCP. Invoke for module development, state management, provider configuration, multi-environment workflows, infrastructure testing.
Instrument a webapp to send useful telemetry data to Azure App Insights
Design and implement GitLab CI/CD pipelines with stages, jobs, artifacts, and caching. Configure runners, Docker integration, and deployment strategies.
AWS CloudFormation patterns for Amazon S3. Use when creating S3 buckets, policies, versioning, lifecycle rules, and implementing template structure with Parameters, Outputs, Mappings, Conditions, and cross-stack references.
Manage S3 buckets with versioning, encryption, access control, lifecycle policies, and replication. Use for object storage, static sites, and data lakes.
Build comprehensive GitHub Actions workflows for CI/CD, testing, security, and deployment. Master workflows, jobs, steps, and conditional execution.
Design and implement serverless applications using AWS Lambda, Azure Functions, and GCP Cloud Functions with event-driven patterns and orchestration.
Expert SRE investigator for incidents and debugging. Uses hypothesis-driven methodology and systematic triage. Can query Axiom observability when available. Use for incident response, root cause analysis, production debugging, or log investigation.