deployment & devops向けのClaudeスキルを発見してください。60個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Standardizes Docker development with high-performance image optimization, security-hardened runtimes, and production-ready configuration patterns.
Provides expert bash and shell scripting guidance to create secure, portable, and production-ready automation across all platforms.
Provides expert implementation patterns for the latest 2025 Docker features, including AI-integrated assistants, enhanced security isolation, and advanced container orchestration.
Optimizes Docker configurations and workflows for seamless operation across Windows, macOS, and Linux environments.
Implements production-grade GitOps workflows for Kubernetes using ArgoCD and Flux CD.
Streamlines Kubernetes application packaging and deployment using production-grade Helm chart development patterns and best practices.
Implements and optimizes declarative Kubernetes deployments using ArgoCD and Flux CD patterns.
Standardizes build, test, and developer experience workflows to ensure repeatable and reliable project execution.
Optimizes local development workflows by implementing Docker Compose Watch mode for automatic hot reloading, container rebuilding, and configuration syncing.
Streamlines the configuration and deployment of Next.js 15 and 16 applications across Vercel, Docker, and self-hosted environments.
Manages Colima container runtimes and Docker daemon connections on macOS to streamline local development workflows.
Resolves path conversion and shell compatibility issues for Azure Pipelines running on Windows agents using Git Bash.
Automates and optimizes SQL Server database deployments using SSDT, tSQLt testing, and state-based CI/CD patterns.
Implements production-ready Docker Compose configurations using 2025 best practices for security, performance, and multi-environment management.
Provides expert guidance for migrating from Terraform to OpenTofu, implementing state encryption, and leveraging community-driven infrastructure features.
Implements production-grade DevOps automation and CI/CD patterns for containerized and cloud-native environments.
Enforces industry-standard ShellCheck validation and POSIX-compliant workflows across CI/CD pipelines and local development environments.
Optimizes Python CI/CD workflows using uv for lightning-fast testing, matrix builds, and secure PyPI publishing.
Master advanced Bash string operations using native parameter expansion, pattern matching, and regex to write efficient, dependency-free shell scripts.
Resolves Docker volume mount and path conversion issues specifically for Windows Git Bash and MINGW environments.
Optimizes and standardizes Azure DevOps YAML pipelines using industry-leading best practices for security, performance, and scalability.
Provides implementation patterns and guidance for the latest Azure DevOps features and security updates from Sprints 254-262.
Automates and optimizes FFmpeg-based video processing workflows across major CI/CD platforms like GitHub Actions, GitLab, and Jenkins.
Automates the creation of comprehensive, standardized pull requests using Conventional Commits and the GitHub CLI.
Deploys and configures FFmpeg within Docker containers with full support for GPU acceleration, Kubernetes orchestration, and cross-platform path handling.
Automates infrastructure provisioning, CI/CD pipeline management, and container orchestration using production-grade DevOps principles.
Automates the entire Git merge request lifecycle from pushing code and creating PRs to monitoring CI and cleaning up branches.
Builds minimal, content-addressed Linux rootfs images using a high-performance Rust reimplementation of the Nix evaluator.
Implements production-grade Kubernetes deployment strategies and optimizes cloud-native workload architectures for high availability.
Standardizes production release workflows using checklist-driven validation, versioning, and deployment readiness checks.
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