DevOps & CI/CD Skills

Skills for deployment, continuous integration, monitoring, and infrastructure management. These skills help Claude Code configure pipelines, debug CI failures, and automate DevOps tasks.

135 skills

azure-deploy

microsoft/github-copilot-for-azure

103.2k

160

The azure-deploy skill executes deployment operations for applications that have already been prepared with infrastructure files and a deployment plan, running commands like `azd up`, `azd deploy`, and `terraform apply` with built-in error recovery. It is designed for developers who need to push prepared applications to Azure production environments, but requires that the azure-prepare and azure-validate skills have been completed first to ensure infrastructure readiness. This skill solves the problem of safely deploying pre-validated Azure applications while preventing users from skipping critical validation steps that would cause deployment failures.

azure-observability

microsoft/github-copilot-for-azure

102.2k

160

ui-ux-pro-max

nextlevelbuilder/ui-ux-pro-max-skill

75.4k

47.4k

This is essentially a design system and UI audit tool rolled into one skill. It runs accessibility checks (contrast ratios, focus states, ARIA labels), validates touch targets and spacing, and suggests specific color palettes and font pairings from its database of 161 palettes and 57 combinations. The real value is in the priority-based rule system that catches common UX problems like missing loading states, poor responsive breakpoints, and platform-specific interaction patterns. It covers 10 tech stacks so you get relevant code whether you're building in React, SwiftUI, or Flutter. Use it when designing new interfaces or when your UI feels off but you can't pinpoint why.

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mcp-builder

anthropics/skills

25k

99.3k

This is a comprehensive guide for building MCP servers that actually work well with LLMs. It walks you through the full process from studying the protocol docs to implementing tools with proper schemas and error handling. The skill covers both TypeScript and Python approaches, emphasizes workflow-focused tool design over basic API wrappers, and includes specific guidance on naming conventions and response formats. What makes this useful is the evaluation framework at the end that helps you test whether LLMs can actually accomplish real tasks with your server, plus the concrete code quality checklists for each language.

building-native-ui

expo/skills

20.3k

1.5k

Building-native-ui provides developers with a comprehensive guide for constructing cross-platform mobile applications using Expo Router, covering UI fundamentals, styling, component libraries, navigation patterns, animations, and native platform features. The skill serves React Native developers building production apps on iOS and Android who need reference documentation on native controls, visual effects, storage solutions, and platform-specific capabilities. It solves the problem of fragmented knowledge around Expo's ecosystem by centralizing best practices for native UI development, routing conventions, and determining when custom native builds are necessary versus using Expo Go.

web-artifacts-builder

anthropics/skills

18k

99.3k

Automates the entire pipeline from React development to Claude artifact deployment. Spins up a full React + TypeScript + Tailwind + shadcn/ui project with 40+ components pre-installed, then bundles everything into a single HTML file that works as a Claude artifact. Handles all the finicky bits like path aliases, Parcel configuration, and asset inlining. Built for complex interactive artifacts that need proper state management and component libraries, not basic HTML demos. The bundling script saves you from manually wrestling with dependencies and ensures your multi-file React app actually renders in Claude's artifact viewer.

deploy-to-vercel

vercel-labs/agent-skills

12.3k

23.5k

The deploy-to-vercel skill enables Claude to deploy applications and websites to Vercel by detecting project state, selecting the appropriate deployment method, and executing deploys via CLI or git integration. It serves developers and teams who want to push their projects live through Claude without manual Vercel setup, solving the problem of streamlining deployment workflows within an AI agent context. The skill prioritizes preview deployments by default, guides users through team selection when needed, and moves projects toward sustainable git-based deployment pipelines.

expo-deployment

expo/skills

12k

1.5k

The expo-deployment skill provides developers with tools and guidance for deploying Expo applications across iOS App Store, Android Play Store, web hosting, and backend API routes using EAS (Expo Application Services). It serves React Native and web developers who need to automate and manage multi-platform app releases through CI/CD workflows, TestFlight beta testing, and app store submission processes. The skill solves the complexity of coordinating deployments across multiple platforms by consolidating EAS commands, configuration templates, and platform-specific workflows into a single reference.

multi-stage-dockerfile

github/awesome-copilot

8.3k

26.4k

The multi-stage-dockerfile skill helps developers create optimized Docker container images by guiding them through best practices for multi-stage builds, base image selection, layer optimization, and security hardening. It addresses the problem of bloated, insecure, or inefficient container images by providing specific techniques for separating build and runtime stages, minimizing final image size, and reducing security vulnerabilities. This skill is for software developers and DevOps engineers working with containerized applications across any language or framework who want to improve build efficiency and image quality.

docker-expert

sickn33/antigravity-awesome-skills

7.9k

26.4k

The docker-expert skill provides advanced Docker containerization guidance covering container optimization, security hardening, multi-stage builds, orchestration patterns, and production deployment strategies. It serves developers and DevOps engineers who need to build, secure, and deploy containerized applications following industry best practices. The skill solves container-related problems by analyzing existing Docker setups, diagnosing issues, and applying specialized solutions while routing Kubernetes, CI/CD, cloud-specific, and database-related questions to appropriate specialized skills.

azure-devops-cli

github/awesome-copilot

7.8k

26.4k

The azure-devops-cli skill enables developers and DevOps engineers to manage Azure DevOps resources—including projects, repositories, pipelines, builds, pull requests, work items, and artifacts—directly through command-line interface commands. It solves the problem of needing a graphical interface for Azure DevOps operations by providing CLI-based automation for CI/CD workflows, repository management, and resource configuration. The skill is designed for users working with Azure DevOps CLI commands, `az` commands, and DevOps automation tasks.

azure-deployment-preflight

github/awesome-copilot

7.7k

26.4k

The azure-deployment-preflight skill validates Bicep infrastructure templates before deployment to Azure by checking syntax, running what-if analysis, and verifying user permissions across both Azure CLI and Azure Developer CLI workflows. It's designed for developers and DevOps engineers preparing infrastructure code for Azure to catch deployment errors, preview infrastructure changes, and confirm sufficient permissions before execution. The skill solves the problem of failed or unexpected deployments by providing comprehensive preflight validation that identifies issues early in the deployment process.

prompt-builder

github/awesome-copilot

7.5k

26.4k

Prompt-builder guides developers through systematically creating high-quality GitHub Copilot prompts by gathering requirements across six key areas: prompt identity, persona definition, task specification, context variables, detailed instructions, and output formats. The skill solves the problem of inconsistent or poorly-structured prompt development by providing a structured discovery process that generates production-ready `.prompt.md` files following established patterns and best practices. It's designed for developers and prompt engineers who need to create effective, reusable Copilot prompts with proper front matter configuration and clear task specifications.

terraform-azurerm-set-diff-analyzer

github/awesome-copilot

7.4k

26.4k

The terraform-azurerm-set-diff-analyzer skill identifies false-positive diffs in Terraform plans for Azure resources caused by Set-type attribute reordering, helping infrastructure engineers distinguish spurious changes from actual modifications. It solves the problem where adding or removing a single element in resources like Application Gateways, Load Balancers, and NSGs causes Terraform to report all elements as changed, making plan reviews difficult and error-prone. The skill uses Python to analyze Terraform plan JSON output and filter out order-only changes while preserving genuine resource modifications.

devops-rollout-plan

github/awesome-copilot

7.4k

26.4k

The DevOps Rollout Plan Generator creates production-ready deployment plans for infrastructure and application changes, including preflight validation, step-by-step procedures, verification checkpoints, rollback protocols, and communication timelines. It serves DevOps engineers, platform teams, and infrastructure managers who need to execute complex changes safely while minimizing risk and downtime. The skill solves the problem of coordinating multi-phase deployments by providing a structured template that ensures all critical aspects—from approvals and health checks to verification signals and stakeholder communication—are documented and actionable before changes go live.

mcp-deploy-manage-agents

github/awesome-copilot

7.3k

26.4k

The mcp-deploy-manage-agents skill enables IT administrators to deploy, manage, and govern MCP-based declarative agents within Microsoft 365 using the admin center, supporting organizational distribution, user assignments, and compliance controls. It addresses the need for centralized agent lifecycle management across different agent types—including organization-published, creator-shared, Microsoft, external partner, and experimental frontier agents—with role-based access controls and governance guardrails. The skill is designed for AI Admins and Global Readers who need to publish, deploy, block, or remove agents while maintaining security and organizational oversight.

bigquery-pipeline-audit

github/awesome-copilot

7.2k

26.4k

The bigquery-pipeline-audit skill audits Python and BigQuery pipeline scripts to identify cost overruns, unsafe reruns, and production readiness issues, returning a structured report with exact patch locations and remediation guidance. It targets data engineers and pipeline maintainers by detecting runaway costs before billing, ensuring idempotency to prevent data corruption on rerun, and enforcing dry-run modes and proper environment controls. The skill catches common failures like unbound loops executing queries per date or entity, missing cost caps on BigQuery jobs, and partition pruning violations that cause expensive full-table scans.

dataverse-python-usecase-builder

github/awesome-copilot

7.2k

26.4k

The dataverse-python-usecase-builder skill generates complete, production-ready Python solutions for specific Microsoft Dataverse SDK use cases by analyzing business requirements, designing optimal data models and table structures, and recommending architectural patterns. It is designed for developers and solution architects building on the Power Platform who need to quickly implement Dataverse integrations with proper error handling, logging, and performance optimization. The skill solves the problem of translating business needs into well-architected implementations by systematically analyzing requirements, selecting appropriate design patterns (transactional, batch processing, query, file management, scheduled jobs, or real-time integration), and providing fully documented code with best practices.

ai-rag-pipeline

inferen-sh/skills

6.3k

173

AI-rag-pipeline enables developers to build retrieval augmented generation (RAG) systems that combine web search tools (Tavily, Exa) with large language models (Claude, GPT-4, Gemini) to generate accurate, sourced responses. It solves the problem of AI hallucinations and outdated information by grounding LLM outputs in real-time retrieved data. The skill is designed for developers building AI agents, research assistants, fact-checkers, and knowledge retrieval systems.

ai-content-pipeline

inferen-sh/skills

6.3k

173

The ai-content-pipeline skill enables users to build automated multi-step content creation workflows that combine image generation (FLUX), video animation (Veo), text-to-speech (Kokoro TTS), and avatar generation (OmniHuman) through the inference.sh CLI. It serves content creators, marketers, and automation engineers who need to produce YouTube videos, social media content, and marketing materials at scale by chaining together AI tools into reusable pipeline patterns. The skill solves the problem of manually orchestrating multiple AI services for complex content production by providing pre-built workflows and examples that handle image-to-video-to-audio pipelines, script-to-avatar generation, and research-to-distribution automation.

chatgpt-app-builder

mcp-use/mcp-use

9.5k

The chatgpt-app-builder skill enables developers to build ChatGPT applications with interactive React widgets using the mcp-use framework and OpenAI Apps SDK, allowing humans and the ChatGPT LLM to collaborate through shared UI components. It solves the problem of creating complex interactive experiences where widget state is visible to both the user and the LLM by providing zero-config widget registration, built-in React hooks, and structured patterns for server handlers and state management. This skill is deprecated and has been replaced by mcp-app-builder.

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FAQ

How can Claude Code help with DevOps?

DevOps skills teach Claude to write CI/CD configurations, debug pipeline failures, set up monitoring, and automate infrastructure tasks. They're especially useful for triaging flaky tests and configuring deployment pipelines.

Related categories

Automation & Workflows194 Debugging80