phase-9-deployment
Skill for deploying to production environment. Covers CI/CD, environment configuration, and deployment strategies. Triggers: deployment, CI/CD, production, Vercel, Kubernetes, Docker, 배포, デプロイ, 部署
Skill for deploying to production environment. Covers CI/CD, environment configuration, and deployment strategies. Triggers: deployment, CI/CD, production, Vercel, Kubernetes, Docker, 배포, デプロイ, 部署
Optimize Dockerfiles with multi-stage builds, layer caching, and security hardening; create Kubernetes manifests with resource limits, probes, HPA, PDB, network policies, and Helm charts
Ansible automation workflow guidelines. Activate when working with Ansible playbooks, ansible-playbook, inventory files (.yml, .ini), or Ansible-specific patterns.
GitOps workflows for this repo: edit Argo CD/Kubernetes/infra manifests in version control, validate changes, and rely on Argo CD to sync. Use when tasks touch argocd/, kubernetes/, tofu/, ansible/, or deployment/runbook changes, or when asked to roll out services via GitOps.
Fix session protocol validation failures in GitHub Actions. Use when a PR fails with "Session protocol validation failed", "MUST requirement(s) not met", "NON_COMPLIANT" verdict, or "Aggregate Results" job failure in the Session Protocol Validation workflow. With deterministic validation, failures show exact missing requirements directly in Job Summary - no artifact downloads needed.
JVM dependency intelligence via Maven Tools MCP server. Use when user asks about Java/Kotlin/Scala dependencies, versions, upgrades, CVEs, or licenses. Use when analyzing pom.xml, build.gradle, or any Maven Central dependency. Use when user says 'check my dependencies', 'should I upgrade X', 'is this version safe', or 'what's the latest version of Y'.
Validate SDD JSON specs, auto-fix common issues, generate detailed reports, and analyze dependencies.
アプリケーションの自動テスト、ビルド、デプロイのための本番環境対応GitHub Actionsワークフローを作成。GitHub Actionsでのci/CDセットアップ、開発ワークフローの自動化、または再利用可能なワークフローテンプレートの作成時に使用。
Guidelines for containerized projects using Docker, Dockerfile, docker-compose, container, and containerization. Covers multi-stage builds, security, signal handling, entrypoint scripts, and deployment workflows.
データ準備からモデル学習、検証、本番デプロイメントまでのエンドツーエンドMLOpsパイプラインを構築します。MLパイプラインの作成、MLOpsプラクティスの実装、またはモデル学習とデプロイメントワークフローの自動化時に使用します。
スケーラブルな自動化のためのマルチステージワークフロー、キャッシング、分散ランナーを備えたGitLab CI/CDパイプラインを構築。GitLab CI/CDの実装、パイプラインパフォーマンスの最適化、または自動テストとデプロイメントのセットアップ時に使用。
Run production build validation (npm run build, vite build, tsc) to ensure code compiles and builds successfully. Returns structured output with build status, duration, size metrics, and error details. Used for quality gates and deployment readiness checks.
HARD GATE before PR creation - verifies review artifact exists in issue comments, all findings addressed or tracked, blocks PR creation if requirements not met
DevContainer configuration for consistent development environments with Docker, multi-stage builds, non-root users, environment management, Docker-in-Docker support, and Python with uv. Activate when working with .devcontainer/, devcontainer.json, Dockerfile, or container-based development workflows.
継続的な調整を伴う自動化された宣言的Kubernetesデプロイメント用のArgoCDとFluxを使用したGitOpsワークフローの実装。GitOps実践の実装、Kubernetesデプロイメントの自動化、宣言的インフラストラクチャ管理のセットアップに使用します。
Use for any development work - the master 13-step coding process that orchestrates all other skills, ensuring GitHub issue tracking, proper branching, TDD, code review, and CI verification
DevOps expert for building robust CI/CD pipelines with GitHub Actions, GitLab CI, Jenkins
Build, harden, document, and ship MCP servers to Claude standards with FastMCP 2.13+ architecture, disciplined tooling, and release-ready workflows.
A QA gate that validates potentially destructive or irreversible actions before execution.
Use after creating PR - monitor CI pipeline, resolve failures, address review feedback, and merge when all gates pass
Run production build validation (npm run build, vite build, tsc) to ensure code compiles and builds successfully. Returns structured output with build status, duration, size metrics, and error details. Used for quality gates and deployment readiness checks.
Logging, debugging, profiling, and performance monitoring for development. Use when adding logging, debugging issues, profiling performance, or instrumenting code for observability.
Generate Terraform modules for AWS infrastructure including VPC, EKS, RDS, S3, Lambda, CloudFront, IAM roles with least-privilege, remote state, and cost optimization
リソース適正サイジング、タグ付け戦略、リザーブドインスタンス、支出分析を通じてクラウドコストを最適化します。クラウド費用削減、インフラコスト分析、コストガバナンスポリシー実装時に使用します。