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。
Implements production-grade safety, error handling, and robust patterns for reliable shell scripting and automation.
Generates production-ready GitHub Actions workflows for automated testing, building, and multi-environment deployment.
Configures isolated Docker environments to securely run Claude Code and prevent AI agents from modifying the host system.
Manages Sandbox.toml configuration files to automate development environment setup and environment customization.
Automates the configuration of linting, formatting, testing, and CI/CD pipelines for TypeScript, Rust, and Python projects.
Ensures safe and standardized production deployments for Retell AI integrations with automated checklists and rollback procedures.
Manages development sessions for Bazzite AI by enabling live editing of justfiles on immutable and traditional Linux systems.
Manages Helm-based application deployments to local k3d Kubernetes clusters for AI and notebook workloads.
Automates the configuration and management of Vercel environments across development, staging, and production stages.
Generates production-ready infrastructure-as-code configurations for major cloud providers using Terraform, CloudFormation, Pulumi, and CDK.
Configures Clerk authentication across development, staging, and production environments with automated validation and CI/CD integration.
Streamlines the deployment and validation of MCP servers for ChatGPT integration using ngrok, MCP Inspector, and production-ready patterns.
Configures and optimizes ShellCheck static analysis to ensure high-quality, portable, and error-free shell scripts.
Executes complex Windsurf re-architecture and migration strategies using the Strangler Fig pattern for seamless system transitions.
Automates the software release cycle by handling version bumping, validation, testing, and Git tagging.
Automates project management workflows by syncing Linear issues with GitHub Actions and CI pipelines.
Deploys and optimizes Gleam applications to production environments using Docker, Fly.io, and automated CI/CD pipelines.
Guides and automates the installation of the Midnight development stack, including the Compact compiler and proof server configuration.
Deploys and configures Apache DevLake to track DORA metrics and engineering productivity across GitHub and Azure environments.
Implements production-grade Kubernetes deployment strategies, health monitoring, and zero-downtime update patterns.
Provides a comprehensive production readiness checklist and auditing tools for Gamma API integrations.
Enforces production-grade Kubernetes manifest standards for security, maintainability, and resource efficiency.
Implements production-grade shell scripting safety patterns to ensure reliability, fault tolerance, and security in automation.
Terminates unresponsive OS processes and Docker containers to resolve resource conflicts and free up system ports.
Automates database schema migrations, linting, and deployment workflows using Atlas within CI/CD pipelines like GitHub Actions and GitLab CI.
Standardizes the creation and management of production-ready Helm charts for Kubernetes application packaging and deployment.
Exposes local development servers and services to the internet through secure, authenticated tunnels for testing and sharing.
Implements secure, multi-environment continuous deployment pipelines using GitHub Actions and OIDC authentication.
Deploys and tests applications in isolated, on-demand cloud environments with public endpoints and background execution support.
Automates the containerization and deployment of Python applications to Docker Hub using optimized multi-stage builds and CI/CD pipelines.
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