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 2 038 updated this month 543 from vendors
| on deploy, and integration testing against real Algolia indices. "CI algolia", "algolia deploy pipeline".
| Deploy Algolia-powered apps to Vercel, Fly.io, and Cloud Run with proper API key management and InstantSearch frontend integration. "algolia Cloud Run", "algolia Fly.io", "algolia InstantSearch".
| OpenTelemetry tracing, structured logging, and Grafana dashboards. "monitor algolia", "algolia alerts", "algolia tracing", "algolia dashboard".
| Configure CI/CD pipeline for automated Figma-to-code generation with Anima. Use when automating design-to-code in GitHub Actions, setting up PR-based component generation, or integrating Anima into design handoff workflows.
| Deploy Anima design-to-code service as a backend API endpoint. Use when building a design-to-code microservice, deploying Anima SDK as a serverless function, or creating an internal design tool API.
| Production readiness checklist for Anima design-to-code pipelines. Use when deploying automated design-to-code services, preparing CI/CD Figma-to-code automation, or validating output quality before production.
| Secure Anima and Figma tokens for design-to-code pipelines. Use when protecting API credentials, restricting Figma access scope, or hardening CI/CD design automation pipelines.
| This skill creates Ansible playbooks for automating configuration management tasks. It generates production-ready, multi-platform playbooks based on user-defined requirements, incorporating best practices and a security-first approach. Use this skill when you need to automate server configurations, software deployments, or infrastructure management using Ansible. Trigger this skill by requesting "Ansible playbook," specifying configuration details, or asking for automation of a particular setup.
| serverless, microservice, event-driven, and edge deployment. Trigger with phrases like "anthropic architecture", "claude serverless", "claude microservice design", "edge claude deployment".
| Configure CI/CD pipelines for Anthropic Claude API integrations. Use when setting up automated testing, prompt regression tests, or CI validation for Claude-powered features. Trigger with phrases like "anthropic ci", "claude ci/cd", "test claude in pipeline", "anthropic github actions".
| Optimize Anthropic Claude API costs with model routing, prompt caching, batching, and spend monitoring. Use when analyzing Claude API billing, reducing costs, or implementing cost controls and budget alerts. Trigger with phrases like "anthropic cost", "claude billing", "reduce claude spend", "anthropic budget", "claude pricing optimize".
| Deploy Claude API integrations to production cloud environments. Use when deploying Claude-powered services to Docker, Cloud Run, ECS, or Kubernetes with proper secret management and health checks. Trigger with phrases like "deploy anthropic", "claude production deploy", "ship claude integration", "anthropic cloud deployment".
| Set up observability for Claude API integrations with metrics, logging, and alerting for latency, cost, errors, and token usage. Trigger with phrases like "anthropic monitoring", "claude observability", "anthropic metrics", "track claude usage", "claude dashboard".
| Execute production deployment checklist for Claude API integrations. Use when deploying Claude-powered features to production, preparing for launch, or implementing go-live validation. Trigger with phrases like "anthropic production", "deploy claude", "claude go-live", "anthropic launch checklist", "production ready claude".
| Api Gateway Config - Auto-activating skill for AWS Skills. Part of the AWS Skills skill category.
| Configure CI/CD pipelines for Apify Actor builds and deployments. Use when automating Actor deployment via GitHub Actions, running integration tests against Apify, or building CI/CD for scrapers. "CI apify", "apify pipeline", "auto deploy actor".
| Build a complete web scraping Actor with Crawlee and deploy to Apify. data extraction, dataset output, and platform deployment. "crawlee scraper", "apify main workflow".
| Optimize Apify platform costs through memory tuning, compute unit management, and proxy budgeting. Use when analyzing Apify billing, reducing Actor run costs, or implementing usage monitoring and budget alerts. "apify pricing", "apify expensive", "apify budget", "compute units".
| 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.