发现deployment & devops类别的 Claude 技能。浏览 60 个技能,找到适合您 AI 工作流程的完美功能。
Generates production-ready Docker Compose configurations for orchestrating multi-container applications with best practices for networking and persistence.
Automates software delivery and quality assurance through GitHub Actions, Git hooks, and deployment orchestration.
Automates the end-to-end software release process from pre-flight validation and version bumping to GitHub release creation.
Automates the creation and management of AgnosticV catalog configurations for Red Hat Demo Platform deployments.
Automates Arch User Repository package updates by detecting upstream versions, updating PKGBUILDs, and pushing changes.
Validates AgnosticV catalog configurations against best practices and deployment requirements to prevent infrastructure failures.
Diagnoses and resolves complex Git worktree issues, automates cleanup, and optimizes repository disk space.
Optimizes Docker containerization workflows through multi-stage builds, security hardening, and efficient orchestration patterns.
Automates semantic versioning and release workflows across plugin manifests and marketplace catalogs.
Automates the complete lifecycle of Claude skills including scaffolding, validation, versioning, and deployment across diverse environments.
Orchestrates cloud-based AI agent swarms and event-driven workflows for complex, multi-agent automation and development.
Implements production-grade server management principles to ensure application stability, scalability, and security.
Resolves CI pipeline failures by systematically identifying and fixing build, test, and linting errors one by one.
Guides production-grade infrastructure management through principles of process monitoring, scaling, and resilient system architecture.
Automates the setup of development containers with integrated Claude Code authentication for seamless headless agent operations.
Diagnoses and resolves configuration and authentication issues within development containers for Claude Code.
Streamlines Next.js deployments to Vercel with optimized configurations for environment variables, edge functions, and build performance.
Provides expert guidance on production server operations, focusing on process management, monitoring strategies, and scalable infrastructure decisions.
Optimizes and automates the deployment of Next.js applications to the Vercel platform using production-grade best practices.
Guides developers in building and extending production-ready to-be-continuous components for GitLab CI/CD following ecosystem best practices.
Configures GitLab CI pipelines to build and scan multiple Docker images in parallel using the To-Be-Continuous Docker template.
Optimizes software delivery by replacing traditional PDCA cycles with an AI-native Simulate-Deploy-Augment iteration loop.
Evaluates GitLab To-Be-Continuous (TBC) templates and components to determine the most efficient, framework-aligned approach for CI/CD requirements.
Streamlines the creation of production-grade GitLab CI/CD pipelines using the modular To-Be-Continuous (TBC) framework.
Automates the deployment of Wasp applications to cloud providers like Railway and Fly.io using the Wasp CLI.
Deploys and manages cloud infrastructure across Cloudflare, Docker, and Google Cloud Platform for high-performance applications.
Automates full backups, updates, and restorations for Clawdbot environments with built-in rollback protection.
Optimizes Java Quarkus applications for GraalVM native image compilation and implements standardized testing patterns.
Automates the final shipping workflow, including git commits, pull request creation, and CI/CD verification for AI-generated code.
Automates semantic versioning, changelog generation, and release notifications for SAX packages to maintain a disciplined development lifecycle.
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