DevOps Claude Skills
4 344 DevOps skills from 392 authors. They ship releases, run infrastructure and keep watch over what is deployed. Half of them fit into 2 094 tokens or less — that is what one costs your context window when the agent loads it. 513 ship runnable scripts rather than instructions alone. 28 of them cannot work without an MCP server, most often rube. We also found 649 copies of these same skills sitting in other people's repositories — counted once here, not 649 times.
4 344 unique 392 authors 4 updated this month 579 from vendors
>- Validate release readiness with evidence-based go/no-go decisions. Covers go/no-go checklists, smoke test suite design, staged rollout validation, rollback criteria and procedures, and post-deployment verification. Ensures release confidence comes "release checklist," "rollback plan," "staged rollout," "canary deploy." rollout itself — use testing-in-production; scheduled probes that run continuously after release — use synthetic-monitoring; designing new tests from prod telemetry — use observability-driven-testing.
>- in-process mocks, HTTP stubs (MSW, WireMock), record-replay, fault injection (Toxiproxy), or ephemeral real services (Testcontainers), and how to enforce that no real calls escape in CI. "test isolation," "dependency management," "stub an external API in CI." up a full Docker Compose env or seed data — use test-environments; broad resilience/game-day fault campaigns — use chaos-engineering.
>- Scheduled probes that run CONTINUOUSLY after release. Covers probe design for critical user journeys, alerting integration, SLA validation, multi-region monitoring," "uptime testing," "scheduled probes," "SLA validation," one-shot post-deploy smoke gate tied to a release — use release-readiness.
>- Design environment strategy for testing across dev, CI, preview, staging, and production — Docker Compose test infrastructure, multi-stage Dockerfiles, seed-data lifecycle, per-PR preview environments, production parity, and external-dependency stubbing at the HTTP boundary. "staging parity," "spin up test infra," "environment tiers." fixture data patterns — use test-data-management; pipeline/Actions config — use ci-cd-integration.
> ☁️ DevOps & Cloud Infrastructure skill suite derived from alirezarezvani/claude-code-skill-factory. CI/CD pipelines, container orchestration, IaC, monitoring and incident response. Provides 10 specialised commands for devops, cloud, docker workflows.
| Discovers all businesses of a given type in any geography using Nimble a user's existing list (Google Sheet, CSV, inline) against fresh discovery, categorizing entries as matched, discovered-only, or reference-only. Vertical presets (Healthcare, SaaS, Restaurants, Legal, Auto/Home) auto-select WSA routing. "account universe", "how many X in Y", "TAM for", "discover all", "audit my list", "compare against", "what am I missing", "gap analysis", "verify my business list", "prospect list". Do NOT use for competitor monitoring — use competitor-intel instead. Do NOT use for company deep dives — use company-deep-dive instead. Do NOT use for neighborhood-level exploration with social enrichment — use local-places instead.
| Discovers, enriches, and scores local businesses in any neighborhood using Nimble Web Search Agents (WSAs) and web data. Returns a structured, ranked list with confidence scores, reviews, social presence, and an interactive map. Use this skill when the user asks about local businesses, places, or "map every bar in", "local businesses in", "discover gyms near", "what restaurants are in", "neighborhood guide for", "local places in", "find places near", "list all [business type] in [area]", "best [type] near [location]", "build a neighborhood guide", "local place search". for live web data via WSAs and fallback search. Do NOT use for competitor analysis or monitoring (use competitor-intel), company research or deep dives (use company-deep-dive), general web search or extraction (use nimble-web-expert).
Validate and prepare documentation for GitHub Pages deployment
Use this agent when a PR touches production data, migrations, or any behavior that could silently discard or duplicate records. Produces a concrete pre/post-deploy checklist with SQL verification queries, rollback procedures, and monitoring plans. Essential for risky data changes where you need a Go/No-Go decision. <example>Context: The user has a PR that modifies how emails are classified. user: \"This PR changes the classification logic, can you create a deployment checklist?\" assistant: \"I'll use the deployment-verification-agent to create a Go/No-Go checklist with verification queries\" <commentary>Since the PR affects production data behavior, use deployment-verification-agent to create concrete verification and rollback plans.</commentary></example> <example>Context: The user is deploying a migration that backfills data. user: \"We're about to deploy the user status backfill\" assistant: \"Let me create a deployment verification checklist with pre/post-deploy checks\" <commentary>Backfills are high-risk de...
> ☁️ DevOps & Cloud Infrastructure skill suite derived from borghei/Claude-Skills. CI/CD pipelines, container orchestration, IaC, monitoring and incident response. Provides 10 specialised commands for devops, cloud, docker workflows.
>- Runs a manually initiated, safety-gated VPS setup and hardening workflow for Ubuntu 24.04 LTS, Ubuntu 26.04 LTS, and Amazon Linux 2023 on EC2. Use this skill when, and only when, the user explicitly invokes vps-setup-hardening by name and supplies a VPS or SSH target, optionally with tool, firewall, access, and runtime preferences. Do not use for ordinary SSH administration, application deployment, compliance auditing, isolated package installation, targeted firewall repair, or automatic infrastructure changes.
> Deploys any web app, API, or agent to the internet with a strict pre-deploy audit and a preview → health-check → prod flow. Detects Next, Vite, Astro, Remix, Nuxt, SvelteKit, FastAPI, Flask, Express, MCP server, Claude Agent SDK script, Python worker, Dockerized, and static projects; routes to Vercel, Railway, Docker+SSH VPS, or cloudflared tunnel. Also supports a first-class "run locally" mode. At the start of each cloud deploy the skill asks the user whether to run full-auto (audit → preview → prod in one sequence) or step-by-step (confirm each phase); the user can skip that question by saying "auto" or "step by step" up front. Use when the user says "/all-deploy", "/deploy", "/despliega", "deploy this", "ship this", "push to prod", "get this online", "deploy my agent", "deploy my FastAPI", "run it locally", "corre esto localmente", "deploy auto", "deploy step by step", "paso a paso", "how do I put this on the internet", or otherwise asks to publish a project to a URL or run it locally.
> cheaper way?" Triggers when the request involves generating data or fixtures (lists, datasets, sample records), implementing a problem that is likely already solved by a stdlib function, package, or public API (validation, parsing, lookups, auth, date/currency/geo data), or any implementation expected to exceed ~20 lines. Does NOT trigger when the user has explicitly chosen the approach or library, when the task is under ~10 lines, when fixing a bug in existing code, or for infra/terraform/k8s and DB queries. Run the checklist before writing code, stop at the first question that reveals a cheaper path, and take that path.
Prepare, publish, repair, or verify package releases and changelogs. Always use for package/version release, publish, ship, tag, changelog, release notes, registry publication, documentation publication, or GitHub Release work. Distinguish package releases from application deployments before acting.
DevOps 与运维专家。精通 CI/CD、容器化、编排、基础设施即代码、监控告警和自动化部署。用于构建高效、可靠的软件交付流水线和运维系统。
当用户明确要求"优化镜像源"、"配置国内镜像"、"加速部署"、"切换镜像源"或项目涉及 Docker/Python/Node.js/Go/Java/Ruby/Rust 等需要包管理器的场景时使用。自动检测项目使用的包管理器，生成适配的国内镜像源配置，确保在国内网络环境下快速部署。⚠️ 不适用：用户只是想了解镜像源概念（应直接说明）、项目已完成部署且无需优化（应直接告知无需操作）、用户明确要求使用官方源（应尊重用户选择）。
Use Frappe Manager (FM) for Docker-based development and testing environments. Use when setting up local dev, running isolated tests, or managing agent-driven Frappe development workflows.
End-to-end Pipeline A in ONE slash-command — turn a fuzzy story idea into a cross-model-audited, image-based movie + a clickable viewer. Chains comic-author (Phase 1 — intent→style→outline draft→provisional storyboard→assets→final locks→blueprints→prompts→comic.json) → the zero-credit p0_proof spending gate (agent fan-out + run_p0_proof.py mints the digest-bound certificate) → comic-director (Phase 2/3 — the agent-sidecar bake spiral, page by page → HTML viewer). Two hard HUMAN gates (intent + outline) pause for approval; everything else is agent-driven + cross-model gated. This is the slash-command entry, like ARIS's /research-pipeline — an AGENT workflow, NOT a shell binary. Use when the user says "/movie-pipeline '…'", "做个电影/漫画 end-to-end", "from this idea make the whole movie", "long-horizon image-based movie generation".
ArgoCD and Helm expert skill. Use when deploying applications with ArgoCD, creating or reviewing Helm charts, designing GitOps workflows, managing ApplicationSets, multi-cluster deployments, progressive delivery with Argo Rollouts, troubleshooting sync issues, secrets management (SOPS, External Secrets Operator), and Kubernetes manifest management. Covers ArgoCD 3.x and Helm 3.x best practices.
Google Cloud Platform expert skill. Use when designing, deploying, or managing infrastructure on GCP including GKE, Cloud Run, Cloud SQL, Pub/Sub, BigQuery, Cloud Storage, IAM, networking, Terraform, and CI/CD pipelines. Covers architecture, cost optimization, security, and reliability.
GitHub Actions CI/CD expert skill. Use when creating, debugging, optimizing, or securing GitHub Actions workflows, implementing DevSecOps pipelines, setting up deployment strategies, configuring matrix builds, caching, reusable workflows, OIDC authentication, or troubleshooting CI/CD failures.
> ☁️ DevOps & Cloud Infrastructure skill suite derived from glebis/claude-skills. CI/CD pipelines, container orchestration, IaC, monitoring and incident response. Provides 10 specialised commands for devops, cloud, docker workflows.
> ☁️ DevOps & Cloud Infrastructure skill suite derived from VoltAgent/awesome-agent-skills. CI/CD pipelines, container orchestration, IaC, monitoring and incident response. Provides 10 specialised commands for devops, cloud, docker workflows.
> ☁️ DevOps & Cloud Infrastructure skill suite derived from GetBindu/awesome-claude-code-and-skills. CI/CD pipelines, container orchestration, IaC, monitoring and incident response. Provides 10 specialised commands for devops, cloud, docker workflows.
> Deploys agent skill collections from any GitHub repository with a /skills folder VS Code plugin marketplace, and Copilot CLI plugin marketplace. Handles pre-flight validation, conventional commit analysis, version bumping across surface configs, and surface-specific publishing with dry-run support. Use when releasing, publishing, or deploying a skills collection to any supported marketplace or creating a GitHub release for a skills repository. Don't use for deploying non-skill packages, npm modules, Docker images, or Azure resources.
> Expert FinOps guidance covering cloud, AI, and SaaS technology spend. Includes AI cost management, GenAI capacity planning, self-hosted vs managed inference, Anthropic billing, AWS (EC2, Bedrock, SageMaker, GPU rightsizing, Savings Plans, CUR, commitment strategy), Azure (reservations, Savings Plans, AHB, OpenAI PTUs, portfolio liquidity), GCP (Vertex AI, Compute Engine, BigQuery), tagging governance, SaaS management (SAM, licence optimisation, SMPs, shadow IT), AI coding tools (Cursor, Claude Code, Copilot, Windsurf, Codex), ITAM, data platforms (Databricks allocation and governance with DBCU commitments, Microsoft Fabric capacity FinOps with F-SKUs, CU smoothing, reservations, pause/resume, Pro-to-Fabric migration), Snowflake, OCI, and GreenOps (AWS Sustainability Console, CSRD). Use for any query about technology cost, commitment portfolio management, rightsizing, cost allocation, SaaS sprawl, AI dev tool spend, or connecting spend to business value. Built by OptimNow.
Create production-ready KRO ResourceGraphDefinitions using Pulumi TypeScript. Use when users need to define custom Kubernetes APIs, compose resources with KRO, integrate AWS ACK resources, or build platform abstractions using Pulumi infrastructure as code.
Write production-ready CEL (Common Expression Language) code for Kubernetes ValidatingAdmissionPolicies, CRD validation rules, and security policies. Use when users need to create admission policies, validate Kubernetes resources, enforce security constraints, or write CEL expressions for Kubernetes.
Expert Celery distributed task queue engineer specializing in async task processing, workflow orchestration, broker configuration (Redis/RabbitMQ), Celery Beat scheduling, and production monitoring. Deep expertise in task patterns (chains, groups, chords), retries, rate limiting, Flower monitoring, and security best practices. Use when designing distributed task systems, implementing background job processing, building workflow orchestration, or optimizing task queue performance.
Elite CI/CD pipeline engineer specializing in GitHub Actions, GitLab CI, Jenkins automation, secure deployment strategies, and supply chain security. Expert in building efficient, secure pipelines with proper testing gates, artifact management, and ArgoCD/GitOps patterns. Use when designing pipelines, implementing security gates, or troubleshooting CI/CD issues.
Expert in CI/CD pipeline design with focus on secret management, code signing, artifact security, and supply chain protection for desktop application builds
Expert in Cilium eBPF-based networking and security for Kubernetes. Use for CNI setup, network policies (L3/L4/L7), service mesh, Hubble observability, zero-trust security, and cluster-wide network troubleshooting. Specializes in high-performance, secure cluster networking.
Expert DevSecOps engineer specializing in secure CI/CD pipelines, shift-left security, security automation, and compliance as code. Use when implementing security gates, container security, infrastructure scanning, secrets management, or building secure supply chains.
Expert in Kanidm modern identity management system specializing in user/group management, OAuth2/OIDC, LDAP, RADIUS, SSH key management, WebAuthn, and MFA. Deep expertise in secure authentication flows, credential policies, access control, and platform integrations. Use when implementing identity management, SSO, authentication systems, or securing access to infrastructure.
Expert skill for AI model quantization and optimization. Covers 4-bit/8-bit quantization, GGUF conversion, memory optimization, and quality-performance tradeoffs for deploying LLMs in resource-constrained JARVIS environments.
Expert RabbitMQ administrator and developer specializing in message broker architecture, exchange patterns, clustering, high availability, and production monitoring. Use when designing message queue systems, implementing pub/sub patterns, troubleshooting RabbitMQ clusters, or optimizing message throughput and reliability.
Elite Talos Linux expert specializing in immutable Kubernetes OS, secure cluster deployment, machine configurations, talosctl CLI operations, upgrades, and production-grade security hardening. Expert in Talos 1.6+, secure boot, disk encryption, and zero-trust infrastructure. Use when deploying Talos clusters, configuring machine configs, troubleshooting node issues, or implementing security best practices.
微信公众号文章订阅与推送。自动部署 wechat-download-api 服务，定时轮询关注的公众号，检测新文章后总结并推送到飞书。触发条件：用户提到"公众号订阅"、"微信文章推送"、"wechat watch"、"公众号更新"等，或由 cron 定时任务触发。前置条件：用户需要有微信公众号（订阅号/服务号均可）用于扫码登录。
Help with abapGit workflows including repository setup, cloning, serialization, branching strategies, transport-vs-git workflows, CI/CD integration, and .abapgit.xml configuration. Use when users ask about abapGit, git for ABAP, ABAP version control, abapGit clone, abapGit pull, abapGit push, branching strategy for ABAP, abapGit configuration, serialization, deserialization, transport vs git, gCTS, abapGit CI/CD, or managing ABAP code in git repositories. Triggers include "set up abapGit", "clone a repo", "push ABAP to git", "abapGit branching", "abapGit configuration", ".abapgit.xml", "transport vs git", or "CI/CD for ABAP".
Create cinematic HTML presentations with AI video backgrounds, deployed to GitHub Pages. Use for: slides, presentation, deck, cinematic slides, video presentation, animated slides, live presentation.
Deploy static or interactive frontend content to GitHub Pages using gh CLI. Use when the user wants to publish, share, or make accessible any HTML/CSS/JS content - including demos, prototypes, visualizations, landing pages, portfolios, documentation, interactive tools, games, or any browser-based project. Activate whenever content needs to be publicly viewable via URL, not just when "website" is explicitly mentioned.
AI risk assessment using NIST AI RMF 1.0 framework. Evaluate AI systems across 4 core functions (Govern, Map, Measure, Manage) for trustworthy and responsible AI deployment.
> ☁️ DevOps & Cloud Infrastructure skill suite derived from alirezarezvani/claude-skills. CI/CD pipelines, container orchestration, IaC, monitoring and incident response. Provides 10 specialised commands for devops, cloud, docker workflows.
> ☁️ DevOps & Cloud Infrastructure skill suite derived from BehiSecc/awesome-claude-skills. CI/CD pipelines, container orchestration, IaC, monitoring and incident response. Provides 10 specialised commands for devops, cloud, docker workflows.
Expert AWS solution architecture for startups focusing on serverless, scalable, and cost-effective cloud infrastructure with modern DevOps practices and infrastructure-as-code
Health checks, metrics, alerting ve rollback stratejileri.
CI/CD pipeline, GitHub Actions, automated deployment, release management, production shipping, and software delivery.
Docker image optimization patterns including multi-stage builds, layer caching, security hardening, and size reduction techniques. Use when building Docker images, optimizing container size, improving build performance, or implementing Docker security best practices. Reduces image sizes by 70-90% and build times by 50-80%.