4 308 DevOps skills from 392 authors. They ship releases, run infrastructure and keep watch over what is deployed. Half of them fit into 2 096 tokens or less — that is what one costs your context window when the agent loads it. 507 ship runnable scripts rather than instructions alone. 28 of them cannot work without an MCP server, most often rube. We also found 633 copies of these same skills sitting in other people's repositories — counted once here, not 633 times.
4 308 unique 392 authors 2 042 updated this month 543 from vendors
监控与告警
Docker 镜像管理
Docker 容器网络
Kubernetes ConfigMap 与 Secret
Kubernetes Deployment 管理
Helm 包管理
Kubernetes Pod 管理与调试
Kubernetes Service 与 Ingress
Kubernetes 故障排查
Linux system administration and monitoring
OpenClaw 运维与故障修复
OpenClaw 安装与部署
Defines metrics, events, dashboards, alerts, and SLOs to monitor production systems. Use after Gate 2 or with release-manager to ensure production observability.
Manages post-Gate-2 release activities with Agile V rigor. Rollout plans, rollback procedures, sign-off checklists. Use after Human Gate 2 for production deployment.
>- Hybrid fingerprint + LLM pipeline for bug classification, deduplication, and ticket generation. Normalizes CI logs, creates stable fingerprints, clusters near-duplicates, then uses LLM for severity classification and ticket writing. Includes bug reporting "failure analysis," "auto-classify," "CI failures," "bug report," "defect template." designing new tests from production telemetry — use observability-driven-testing.
>- Validate system resilience through controlled fault injection. Covers hypothesis-driven chaos experiments, failure injection types (network, service, infrastructure, dependency), LitmusChaos/Chaos Mesh/AWS FIS/Gremlin/toxiproxy tooling, automated abort gating, game day "resilience test," "game day," "failure recovery," "system reliability," "blast radius." designing new tests from production telemetry — use observability-driven-testing.
>- Design CI/CD pipelines that run test suites. Covers GitHub Actions and GitLab CI templates, parallelism and sharding, artifact management, flaky-test quarantine, test-result publishing, coverage quality gates, OIDC keyless deploy, and copy-paste workflows for Playwright, Jest, and multi-stage pipelines. "continuous integration," "test automation pipeline," "shard tests in CI." decisions and smoke-test checklists — use release-readiness; test-result dashboards and trend reporting — use qa-metrics.
>- Create and fill .agents/qa-project-context.md with the project's tech stack, test frameworks, CI/CD pipeline, environments, quality goals, risk areas, team structure, and conventions. This is the one file every other QA skill reads first, so they skip redundant discovery and give context-aware advice.
>- 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.