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
| Deploy Apify Actors and integrate scraping into external applications. Use when deploying Actors to the platform, integrating Actor results into web apps, or connecting Apify with external services. "apify production deploy", "integrate apify results", "apify API endpoint".
| Set up local Apify Actor development with Apify CLI and Crawlee. Use when creating Actors locally, testing with apify run, or establishing a fast develop-test-deploy cycle. "develop actor locally", "apify run local".
| Production readiness checklist for Apify Actor deployments. Use when deploying Actors to production, preparing for launch, or validating Actor configuration before going live. "apify go-live", "apify launch checklist", "actor production ready".
| Production-grade architecture patterns for Apify-powered applications. Use when designing scraping infrastructure, building multi-Actor pipelines, or integrating Apify into a larger system architecture. "apify project structure", "scraping architecture", "apify system design".
| Configure Apollo.io CI/CD integration. Use when setting up automated testing, continuous integration, or deployment pipelines for Apollo integrations. Trigger with phrases like "apollo ci", "apollo github actions", "apollo pipeline", "apollo ci/cd", "apollo automated tests".
| Deploy Apollo.io integrations to production. Use when deploying Apollo integrations, configuring production environments, or setting up deployment pipelines. Trigger with phrases like "deploy apollo", "apollo production deploy", "apollo deployment pipeline", "apollo to production".
| Set up Apollo.io monitoring and observability. Use when implementing logging, metrics, tracing, and alerting for Apollo integrations. Trigger with phrases like "apollo monitoring", "apollo metrics", "apollo observability", "apollo logging", "apollo alerts".
| Execute Apollo.io production deployment checklist. Use when preparing to deploy Apollo integrations to production, doing pre-launch verification, or auditing production readiness. Trigger with phrases like "apollo production checklist", "deploy apollo", "apollo go-live", "apollo production ready", "apollo launch checklist".
| Configure CI/CD pipeline for AppFolio property management integrations.
| Deploy AppFolio integration service to cloud infrastructure.
| Deploy Apple Notes automation as a local macOS service.
| Monitor Apple Notes automation health and performance metrics.
| Argocd App Deployer - Auto-activating skill for DevOps Advanced. Part of the DevOps Advanced skill category.
| Configure AssemblyAI CI/CD integration with GitHub Actions and testing. Use when setting up automated testing, configuring CI pipelines, or integrating AssemblyAI transcription tests into your build process. Trigger with phrases like "assemblyai CI", "assemblyai GitHub Actions", "assemblyai automated tests", "CI assemblyai".
| Optimize AssemblyAI costs through model selection, feature budgeting, and usage monitoring. Use when analyzing AssemblyAI billing, reducing transcription costs, or implementing usage monitoring and budget alerts. Trigger with phrases like "assemblyai cost", "assemblyai billing", "reduce assemblyai costs", "assemblyai pricing", "assemblyai budget".
| Deploy AssemblyAI integrations to Vercel, Cloud Run, and Fly.io platforms. Use when deploying AssemblyAI-powered transcription services to production, configuring platform-specific secrets, or setting up webhook endpoints. Trigger with phrases like "deploy assemblyai", "assemblyai Vercel", "assemblyai production deploy", "assemblyai Cloud Run", "assemblyai Fly.io".
| Execute AssemblyAI production deployment checklist and rollback procedures. Use when deploying AssemblyAI integrations to production, preparing for launch, or implementing go-live procedures for transcription services. Trigger with phrases like "assemblyai production", "deploy assemblyai", "assemblyai go-live", "assemblyai launch checklist".
| Configure CI/CD pipelines for Attio integrations with GitHub Actions, mock-based unit tests, and live API integration tests. "CI attio", "attio pipeline", "test attio in CI".
| Deploy Attio integrations to Vercel, Fly.io, Railway, and Cloud Run with proper secrets, health checks, and webhook endpoint configuration. "attio Cloud Run", "attio Fly.io", "attio Railway".
| This skill configures auto-scaling policies for applications and infrastructure. It generates production-ready configurations based on user requirements, implementing best practices for scalability and security. Use this skill when the user requests help with auto-scaling setup, high availability, or dynamic resource allocation, specifically mentioning terms like "auto-scaling," "HPA," "scaling policies," or "dynamic scaling." This skill provides complete configuration code for various platforms.
| This skill empowers Claude to build AutoML pipelines using the automl-pipeline-builder plugin. It is triggered when the user requests the creation of an automated machine learning pipeline, specifies the use of AutoML techniques, or asks for assistance in automating the machine learning model building process. The skill analyzes the context, generates code for the ML task, includes data validation and error handling, provides performance metrics, and saves artifacts with documentation. Use this skill when the user explicitly asks to "build automl pipeline", "create automated ml pipeline", or needs help with "automating machine learning workflows".
| Azure Ml Deployer - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| Configure CI/CD pipelines for BambooHR integrations with GitHub Actions, automated testing, and secret management. Use when setting up automated testing, configuring CI pipelines, or integrating BambooHR API tests into your build process. Trigger with phrases like "bamboohr CI", "bamboohr GitHub Actions", "bamboohr automated tests", "CI bamboohr", "bamboohr pipeline".
| Optimize BambooHR integration costs through request reduction, caching, and usage monitoring. Use when analyzing API usage patterns, reducing unnecessary calls, or implementing request budgets. Trigger with phrases like "bamboohr cost", "bamboohr usage", "reduce bamboohr calls", "bamboohr optimization", "bamboohr budget".
| Deploy BambooHR integrations to Vercel, Fly.io, and Cloud Run platforms. Use when deploying BambooHR-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy bamboohr", "bamboohr Vercel", "bamboohr production deploy", "bamboohr Cloud Run", "bamboohr Fly.io".
| Execute BambooHR production deployment checklist and rollback procedures. Use when deploying BambooHR integrations to production, preparing for launch, or implementing go-live procedures with BambooHR API. Trigger with phrases like "bamboohr production", "deploy bamboohr", "bamboohr go-live", "bamboohr launch checklist", "bamboohr prod ready".
| Batch Inference Pipeline - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| Beam Pipeline Builder - Auto-activating skill for Data Pipelines. Part of the Data Pipelines skill category.
| Bigquery Ml Model Creator - Auto-activating skill for GCP Skills. Part of the GCP Skills skill category.
| Bigquery Scheduled Query - Auto-activating skill for GCP Skills. Part of the GCP Skills skill category.
| Bigquery Table Creator - Auto-activating skill for GCP Skills. Part of the GCP Skills skill category.
| Bigquery View Generator - Auto-activating skill for GCP Skills. Part of the GCP Skills skill category.
| Configure Bright Data CI/CD integration with GitHub Actions and testing. Use when setting up automated testing, configuring CI pipelines, or integrating Bright Data tests into your build process. Trigger with phrases like "brightdata CI", "brightdata GitHub Actions", "brightdata automated tests", "CI brightdata".
| Optimize Bright Data costs through tier selection, sampling, and usage monitoring. Use when analyzing Bright Data billing, reducing API costs, or implementing usage monitoring and budget alerts. Trigger with phrases like "brightdata cost", "brightdata billing", "reduce brightdata costs", "brightdata pricing", "brightdata expensive", "brightdata budget".
| Deploy Bright Data integrations to Vercel, Fly.io, and Cloud Run platforms. Use when deploying Bright Data-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy brightdata", "brightdata Vercel", "brightdata production deploy", "brightdata Cloud Run", "brightdata Fly.io".
| Execute Bright Data production deployment checklist and rollback procedures. Use when deploying Bright Data integrations to production, preparing for launch, or implementing go-live procedures. Trigger with phrases like "brightdata production", "deploy brightdata", "brightdata go-live", "brightdata launch checklist".
| Build automated machine learning pipelines with feature engineering, model selection, and hyperparameter tuning. Use when automating ML workflows from data preparation through model deployment. Trigger with phrases like "build automl pipeline", "automate ml workflow", or "create automated training pipeline".
| Execute use when you need to work with deployment and CI/CD. This skill provides deployment automation and pipeline orchestration with comprehensive guidance and automation. Trigger with phrases like "deploy application", "create pipeline", or "automate deployment".
| Execute use when constructing GitOps workflows using ArgoCD or Flux. Trigger with phrases like "create GitOps workflow", "setup ArgoCD", "configure Flux", or "automate Kubernetes deployments". Generates production-ready configurations, implements best practices, and ensures security-first approach for continuous deployment.
| Execute this skill empowers AI assistant to build reusable terraform modules based on user specifications. it leverages the terraform-module-builder plugin to generate production-ready, well-documented terraform module code, incorporating best practices for sec... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
| Canary Deployment Setup - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| Configure CI/CD pipelines for Canva Connect API integrations with GitHub Actions. Use when setting up automated testing, configuring CI pipelines, or integrating Canva API tests into your build process. Trigger with phrases like "canva CI", "canva GitHub Actions", "canva automated tests", "CI canva", "canva pipeline".
| Optimize Canva Connect API usage costs through efficient API patterns and monitoring. Use when analyzing Canva API usage, reducing unnecessary calls, or implementing usage monitoring and budget tracking. Trigger with phrases like "canva cost", "canva usage", "reduce canva calls", "canva API efficiency", "canva budget".
| Deploy Canva Connect API integrations to Vercel, Fly.io, and Cloud Run. Use when deploying Canva-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy canva", "canva Vercel", "canva production deploy", "canva Cloud Run", "canva Fly.io".
| Configure Canva Connect API across development, staging, and production environments. Use when setting up multi-environment deployments, managing OAuth credentials per environment, or implementing environment-specific Canva configurations. Trigger with phrases like "canva environments", "canva staging", "canva dev prod", "canva environment setup", "canva config by env".
| Set up observability for Canva Connect API integrations with metrics, traces, and alerts. Use when implementing monitoring for Canva API operations, setting up dashboards, or configuring alerting for Canva integration health. Trigger with phrases like "canva monitoring", "canva metrics", "canva observability", "monitor canva", "canva alerts", "canva tracing".
| Execute Canva Connect API production deployment checklist and go-live procedures. Use when deploying Canva integrations to production, preparing for launch, or validating production readiness. Trigger with phrases like "canva production", "deploy canva", "canva go-live", "canva launch checklist".
| Handle Canva Connect API rate limits with backoff, queuing, and monitoring. Use when hitting 429 errors, implementing retry logic, or optimizing API request throughput for Canva integrations. Trigger with phrases like "canva rate limit", "canva throttling", "canva 429", "canva retry", "canva backoff".