Senior Devops
Skill AktivComprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.
To automate and standardize DevOps workflows, enabling senior developers and DevOps engineers to efficiently set up pipelines, manage infrastructure as code, and orchestrate application deployments across major cloud platforms.
Funktionen
- Pipeline generation for GitHub Actions and CircleCI
- Terraform module scaffolding and validation for AWS, GCP, Azure
- Containerized deployment orchestration with rollback
- Reference guides for CI/CD, IaC, and deployment strategies
- Cloud-agnostic approach with specific provider support
Anwendungsfälle
- Setting up new CI/CD pipelines for projects
- Generating Infrastructure as Code modules for cloud resources
- Automating application deployments with blue/green or rolling strategies
- Implementing consistent DevOps practices across teams
- Auditing and optimizing existing deployment processes
Nicht-Ziele
- Directly managing cloud provider accounts or billing
- Performing security vulnerability scanning beyond basic CI/CD stages
- Acting as a runtime monitoring or alerting tool
- Replacing cloud-native deployment services entirely
Documentation
- warning:Configuration & parameter referenceWhile the SKILL.md provides usage examples, it does not explicitly document all possible parameters, their default values, or precedence orders for configuration, relying on script help messages.
Code Execution
- info:ValidationThe Python scripts use `argparse` for parameter handling, but there is no explicit schema validation library (like Zod or Pydantic) used for sanitizing and validating input arguments or structured output.
- info:Error HandlingThe Python scripts have basic try-except blocks and print error messages to stderr, but they do not return structured error fields (code, retryable, hint) that an agent could use for routing.
Errors
- warning:Actionable error messagesThe Python scripts have basic error handling that prints messages to stderr, but they lack specific remediation steps or links to documentation for users to resolve issues.
Scope
- info:Dry-run previewWhile the Terraform scaffolder mentions `terraform plan`, there isn't an explicit `--dry-run` flag on the Python scripts themselves to preview the exact output or generated files before execution.
Practical Utility
- info:Edge casesThe SKILL.md mentions troubleshooting sections in reference files, but the main documentation does not explicitly list failure modes and recovery steps for each script's operation.
Installation
Zuerst Marketplace hinzufügen
/plugin marketplace add alirezarezvani/claude-skills/plugin install engineering-team@claude-code-skillsQualitätspunktzahl
Vertrauenssignale
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