Skill 詳細
senior-devops
Comprehensive DevOps engineering skill covering pipelines, containers, Kubernetes, Terraform, deployment, and observability.
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SKILL.md
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--- name: senior-devops description: > DevOps for CI/CD, containers, Kubernetes, and Terraform. Use when building pipelines, containerizing apps, managing clusters, provisioning cloud infra, deploying with blue- green/canary, or handling infrastructure incidents. license: MIT + Commons Clause metadata: version: 2.2.0 author: borghei category: engineering domain: infrastructure updated: 2026-06-17 tags: [docker, kubernetes, terraform, ci-cd, monitoring] python-tools: pipeline_generator.py, terraform_scaffolder.py, deployment_manager.py tech-stack: python, docker, kubernetes, terraform, prometheus --- # Senior DevOps Engineer The agent generates CI/CD pipelines, scaffolds Terraform infrastructure, and manages deployments with strategy selection, health checks, and rollback support. ## Core Capabilities - **CI/CD pipeline generation** — fail-fast, cached, immutable-artifact pipelines for GitHub Actions, GitLab CI, Jenkins, and CircleCI with matrix testing and promotion gates. - **Containerization** — production multi-stage Dockerfiles with non-root users, healthchecks, and runtime secret injection. - **Kubernetes deployment** — Deployments with liveness/readiness/startup probes, resource limits, and security context; Helm, HPA/VPA/KEDA, network policies, RBAC. - **Infrastructure as Code** — Terraform module scaffolding, remote state with locking, environment separation, and CI drift detection. - **Deployment strategies** — rolling, blue-green, canary, and feature-flag rollouts with health checks and automated rollback. - **Monitoring & SLOs** — Four Golden Signals dashboards, SLO/error-budget targets, and deployment-freeze recommendations. ## When to Use - Building or optimizing a CI/CD pipeline. - Containerizing an app or deploying to Kubernetes. - Provisioning cloud infrastructure with Terraform. - Choosing and executing a deployment strategy (blue-green/canary). - Handling an infrastructure incident or rollback. ## Clarify First Before generating pipelines or infra, confirm these inputs. If any is unknown or vague, ASK — do not assume: - [ ] **CI/CD platform** — GitHub Actions / GitLab CI / Jenkins / CircleCI (changes the generated pipeline config) - [ ] **Deployment strategy** — rolling / blue-green / canary / feature-flag (sets health checks and rollback in the deployment plan) - [ ] **Target cloud & IaC scope** — provider and which Terraform modules are needed (drives `terraform_scaffolder`) Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact. ## Tools | Tool | Purpose | Command | |------|---------|---------| | `pipeline_generator.py` | Analyze a project and generate a CI/CD pipeline config (GitHub Actions, GitLab CI, Jenkins, CircleCI) | `python scripts/pipeline_generator.py <project-path> --json` | | `terraform_scaffolder.py` | Scaffold a Terraform module structure with state config | `python scripts/terraform_scaffolder.py <target-path> --json` | | `deployment_manager.py` | Produce a deployment plan with health checks and rollback | `python scripts/deployment_manager.py <target-path> --json` | All tools support `--verbose`/`-v`, `--json` for machine-readable output, and `--output`/`-o` for file writing. ## References Load the reference that matches the task — keep this file lean and pull detail on demand: - **[references/devops-workflows-and-operations.md](references/devops-workflows-and-operations.md)** — the three end-to-end workflows (containerize & deploy, Terraform IaC, CI/CD design) with worked Dockerfile/YAML/HCL examples, the deployment-strategy selection matrix and canary ladder, monitoring essentials (Four Golden Signals, SLO targets), anti-patterns, and the troubleshooting table. Read when executing any workflow or diagnosing an incident. - **[references/cicd_pipeline_guide.md](references/cicd_pipeline_guide.md)** — pipeline patterns, platform comparisons, optimization. - **[GitHub で全文を読む (外部ページ)