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 2 095 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 633 copies of these same skills sitting in other people's repositories — counted once here, not 633 times.
4 344 unique 392 authors 2 063 updated this month 579 from vendors
Safely audit and reduce CPU, load average, I/O wait, and Docker container resource pressure on macOS and Ubuntu/Linux hosts, especially remote production-like servers over SSH. Use when a host feels slow, load average is high, monitoring shows CPU spikes, Docker containers are suspected of consuming CPU, a service dashboard times out, or the user asks for a repeatable CPU optimization workflow.
Review, improve, organize, deploy, and verify Grafana dashboards, provisioned alert rules, and the Telegraf→InfluxDB→Grafana monitoring stack. Use when working on Grafana dashboards, dashboard folders, tags, legends, panel readability, Flux/InfluxDB query correctness or performance, Prometheus/Telegraf dimensions, Telegraf JSON/HTTP scraping, anonymous access, dashboard/alert provisioning, Grafana Docker deployments, high CPU or memory caused by dashboard queries, InfluxDB cardinality and tag-vs-field modelling, provisioned alert rules and Flux alert conditions, contact points and Telegram/notification delivery, or requests like "review this dashboard", "optimize Grafana panels", "why is this dashboard slow / using CPU", "fix legends", "move dashboards into a folder", "add tags", "set up Grafana alerting", "alert won't fire / won't deliver", "fix Telegram alerts", "route alerts to a Telegram topic/thread (message_thread_id)", "bump/upgrade the Grafana version", "deploy and verify dashboards", "InfluxDB is OOM-killed / restart-looping / won't start", "series cardinality explosion", "should this be a tag or a field", or "Grafana best practices".
Safely audit and reclaim disk space on macOS and Ubuntu/Linux hosts, including remote servers over SSH. Use when the user says their Mac, Linux box, VPS, or server disk is full, asks what can be safely deleted, wants to clean caches, developer artifacts, Docker storage, apt/Homebrew/npm/pnpm/yarn/pip/uv caches, journal/log files, Xcode data, editor extensions, node_modules, Trash, crontab/systemd timer disk checks, or asks for a repeatable free-space cleanup workflow.
Build Shopify Hydrogen storefronts with Weaverse — components, schemas, loaders, theming, data fetching, React Router v7, deployment, and advanced features.
Load when tracking newly published package or model-package releases across package registries and release feeds for AI/developer-tool monitoring; do not load for ordinary docs lookup, broad GitHub trend scanning, or implementing package clients.
Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.
> Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications. Use when setting up deployment infrastructure or planning releases.
> Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration. Use when setting up containerized development environments or reviewing Docker configurations.
Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.
Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.
Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.
GitHub操作、自動化、APIインテグレーション、およびCI/CDワークフロー。
Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.
Deployment iş akışları, CI/CD pipeline kalıpları, Docker konteynerizasyonu, sağlık kontrolleri, rollback stratejileri ve web uygulamaları için üretim hazırlığı kontrol listeleri.
Yerel geliştirme, konteyner güvenliği, ağ, volume stratejileri ve multi-servis orkestrasyon için Docker ve Docker Compose kalıpları.
Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.
Use this skill to monitor and verify a deployed URL or public OSS launch surface after releases — checks HTTP endpoints, SSE streams, static assets, console errors, performance regressions, PR queue health, maintainer feedback, and listing-review blockers after deploys, merges, submissions, or dependency upgrades. Smoke / canary / post-deploy / PR-watch verification.
部署工作流、CI/CD流水线模式、Docker容器化、健康检查、回滚策略以及Web应用程序的生产就绪检查清单。
Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.
用于本地开发的Docker和Docker Compose模式，包括容器安全、网络、卷策略和多服务编排。
Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.
GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.
Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.
Django + Celery async task patterns — configuration, task design, beat scheduling, retries, canvas workflows, monitoring, and testing. Use when adding background jobs, scheduled tasks, or async processing to a Django app.
Pre-deployment checks for router and switch configuration, including dangerous commands, duplicate addresses, subnet overlaps, stale references, management-plane risk, and IOS-style security hygiene.
Prisma ORM patterns for TypeScript backends — schema design, query optimization, transactions, pagination, and critical traps like updateMany returning count not records, $transaction timeouts, migrate dev resetting the DB, @updatedAt skipped on bulk writes, and serverless connection exhaustion.
Design composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework popularized by xAI's open-sourced For You algorithm. Use this skill whenever the user is building any system that picks "the top K items for a (user, context)" — social feeds, content CMSs, RAG rerankers, task prioritizers, notification triage, search reranking, ad ranking.
Use when managing an Uncloud cluster — deploying services, configuring Caddy ingress, adding static proxy routes for non-cluster devices, publishing ports, scaling, inspecting logs, or managing machines and volumes with the `uc` CLI.
Plan and review ERC20 deployment with the Clanker SDK. Use for token configuration, vesting, airdrops, rewards, metadata, and transaction preparation on supported EVM chains.
Deploy static sites to Cloudflare Pages with custom domains and CI/CD. Use when the user wants to deploy a site to Cloudflare Pages, add a custom domain to a Pages project, set up GitHub Actions CI/CD for Cloudflare Pages, roll back a deployment, or verify deployment status. Triggers on "deploy to Cloudflare", "Cloudflare Pages", "add custom domain", "pages deploy", or any Cloudflare Pages hosting workflow.
Company knowledge base — domains, services, infrastructure, accounts, credentials locations, architecture decisions
Optimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing c...
You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing.
Website deployment via GitHub PR + Cloud Build
Essential Docker commands and workflows for container management, image operations, and debugging.
Use when monitoring Xiaohongshu marketing campaign performance, tracking promotion effectiveness, analyzing advertising ROI, measuring influencer collaboration results, evaluating activity success rates, or optimizing marketing spend allocation
Manage expense tracker bot — deploy, check expenses, export data, sync locally
通过 SSH 远程部署 Hermes Agent（Nous Research 自进化 AI Agent）到 Linux/macOS 服务器。Use when: (1) 用户要求在远程服务器上部署 Hermes Agent, (2) 远程搭建 Hermes 运行环境, (3) 配置 Hermes 模型提供商和 API Key, (4) 从 OpenClaw 迁移到 Hermes, (5) 任何涉及 SSH 加 Hermes 部署的任务。
建立只读事件态势、明确指挥角色、组织决策节奏、定义恢复标准，并在稳定后完成无责复盘与纠正措施复验。用于服务异常、业务中断、安全或数据事件的协调与复盘；不用于直接修改生产环境、部署修复、使用凭证、对外通知、替技术负责人诊断实现，或未经人类批准执行任何高风险动作。
Use when deploying or managing Kubernetes workloads. Invoke to create deployment manifests, configure pod security policies, set up service accounts, define network isolation rules, debug pod crashes, analyze resource limits, inspect container logs, or right-size workloads. Use for Helm charts, RBAC policies, NetworkPolicies, storage configuration, performance optimization, GitOps pipelines, and multi-cluster management.
Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring. Use PROACTIVELY for ML model deployment, inference optimization, or production ML infrastructure.
Unified LLM provider and model configuration, health monitoring, and key management
Design production observability strategies covering SLI/SLOs, metrics, logs, traces, dashboards, and alert quality.
Create and manage self-rewarding meme coins on Solana via the OP0 Altar protocol. Deploy pump.fun tokens where holders automatically receive rewards in 129 payout token options every few BTC blocks.
以持续计划-执行-检查-重试循环驱动项目推进，直到开发、部署与验收目标完成。
RSS feed aggregation and monitoring. Parse RSS/Atom feeds, filter entries, track new items, and integrate with notification channels for automated content monitoring.
Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues.
Designs system structure across monolith/microservices/serverless. Use when structuring systems, scaling, decomposing monoliths, or choosing patterns.