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
| Deploy use when you need to work with deployment and CI/CD. This skill provides deployment automation and orchestration with comprehensive guidance and automation. Trigger with phrases like "deploy application", "create pipeline", or "automate deployment".
| Execute use when managing Kubernetes network policies and firewall rules. Trigger with phrases like "create network policy", "configure firewall rules", "restrict pod communication", or "setup ingress/egress rules". Generates Kubernetes NetworkPolicy manifests following least privilege and zero-trust principles.
| Memorystore Config - Auto-activating skill for GCP Skills. Part of the GCP Skills skill category.
| This skill enables Claude to deploy machine learning models to production environments. It automates the deployment workflow, implements best practices for serving models, optimizes performance, and handles potential errors. Use this skill when the user requests to deploy a model, serve a model via an API, or put a trained model into a production environment. The skill is triggered by requests containing terms like "deploy model," "productionize model," "serve model," or "model deployment."
| Model Drift Detector - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| Model Export Helper - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| Model Pruning Helper - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| Model Quantization Tool - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| Model Registry Manager - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| Model Versioning Manager - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| This skill enables Claude to track and manage AI/ML model versions using the model-versioning-tracker plugin. It should be used when the user asks to manage model versions, track model lineage, log model performance, or implement version control for AI/ML models. Use this skill when the user mentions "track versions", "model registry", "MLflow", or requests assistance with AI/ML model deployment and management. This skill facilitates the implementation of best practices for model versioning, automation of model workflows, and performance optimization.
| Build real-time API monitoring dashboards with metrics, alerts, and health checks. Use when tracking API health and performance metrics. Trigger with phrases like "monitor the API", "add API metrics", or "setup API monitoring".
| Monitor this skill enables AI assistant to monitor and analyze cpu usage patterns within applications. it helps identify cpu hotspots, analyze algorithmic complexity, and detect blocking operations. use this skill when the user asks to "monitor cpu usage", "opt... Use when setting up monitoring or observability. Trigger with phrases like 'monitor', 'metrics', or 'alerts'.
| Monitor cross-chain bridge TVL, volume, fees, and transaction status across networks. Use when researching bridges, comparing routes, or tracking bridge transactions. Trigger with phrases like "monitor bridges", "compare bridge fees", "track bridge tx", "bridge TVL", or "cross-chain transfer status".
| Monitor use when you need to work with monitoring and observability. This skill provides health monitoring and alerting with comprehensive guidance and automation. Trigger with phrases like "monitor system health", "set up alerts", or "track metrics".
| Monitor use when you need to work with monitoring and observability. This skill provides health monitoring and alerting with comprehensive guidance and automation. Trigger with phrases like "monitor system health", "set up alerts", or "track metrics".
Monitor and analyze application error rates to improve reliability. Use when tracking errors in applications including HTTP errors, exceptions, and database issues. Trigger with phrases like "monitor error rates", "track application errors", or "analyze error patterns".
| This skill deploys monitoring stacks, including Prometheus, Grafana, and Datadog. It is used when the user needs to set up or configure monitoring infrastructure for applications or systems. The skill generates production-ready configurations, implements best practices, and supports multi-platform deployments. Use this when the user explicitly requests to deploy a monitoring stack, or mentions Prometheus, Grafana, or Datadog in the context of infrastructure setup.
| Track large cryptocurrency transactions and whale wallet movements in real-time. Use when tracking large holder movements, exchange flows, or wallet activity. Trigger with phrases like "track whales", "monitor large transfers", "check whale activity", "exchange inflows", or "watch wallet".
| This skill enables Claude to manage Kubernetes network policies and firewall rules. It allows Claude to generate configurations and setup code based on specific requirements and infrastructure. Use this skill when the user requests to create, modify, or analyze network policies for Kubernetes, or when the user mentions "network-policy", "firewall rules", or "Kubernetes security". This skill is useful for implementing best practices and production-ready configurations for network security in a Kubernetes environment.
| Configure auto-configure Ollama when user needs local LLM deployment, free AI alternatives, "local AI", "free LLM", "self-hosted AI", "replace OpenAI", "no API costs". Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
| Onnx Converter - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| Deploy use when you need to work with deployment and CI/CD. This skill provides deployment automation and orchestration with comprehensive guidance and automation. Trigger with phrases like "deploy application", "create pipeline", or "automate deployment".
| This skill uses the pci-dss-validator plugin to assess codebases and infrastructure configurations for compliance with the Payment Card Industry Data Security Standard (PCI DSS). It identifies potential vulnerabilities and deviations from PCI DSS requirements. Use this skill when the user requests to "validate PCI compliance", "check PCI DSS", "assess PCI security", or "review PCI standards" for a given project or configuration. It helps ensure that systems handling cardholder data meet the necessary security controls.
| This skill enables Claude to validate application performance against defined budgets. It's useful for identifying performance regressions early in the development lifecycle. The skill is triggered when the user mentions "performance budget", "validate budget", "performance regression", or requests a check against performance metrics like "page load times", "bundle sizes", "API response times", or "Lighthouse scores". The plugin validates against predefined thresholds and alerts on violations. It is especially helpful in CI/CD pipelines to prevent performance degradation in production.
| This skill enables Claude to provide comprehensive, prioritized performance optimization recommendations for software projects. It is triggered when the user requests performance improvements, optimization suggestions, or asks for a performance review. The skill analyzes frontend, backend, and infrastructure aspects of the project to identify bottlenecks and anti-patterns. It then provides actionable advice, estimates potential performance gains, and suggests a phased implementation roadmap. Use this skill when the user mentions "optimize performance", "performance recommendations", "performance review", "improve speed", or asks about "bottlenecks".
| This skill enables Claude to automatically detect performance regressions in a CI/CD pipeline. It analyzes performance metrics, such as response time and throughput, and compares them against baselines or thresholds. Use this skill when the user requests to "detect performance regressions", "analyze performance metrics for regressions", or "find performance degradation" in a CI/CD environment. The skill is also triggered when the user mentions "baseline comparison", "statistical significance analysis", or "performance budget violations". It helps identify and report performance issues early in the development cycle.
| Pipeline Monitoring Setup - Auto-activating skill for Data Pipelines. Part of the Data Pipelines skill category.
| Prediction Monitor - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| Process automate data cleaning, transformation, and validation for ML tasks. Use when requesting "preprocess data", "clean data", "ETL pipeline", or "data transformation". Trigger with relevant phrases based on skill purpose.
Provide comprehensive prioritized performance optimization recommendations for frontend, backend, and infrastructure. Use when analyzing bottlenecks or seeking improvement strategies. Trigger with phrases like "optimize performance", "improve speed", or "performance recommendations".
| Pubsub Subscription Config - Auto-activating skill for GCP Skills. Part of the GCP Skills skill category.
| Pubsub Topic Setup - Auto-activating skill for GCP Skills. Part of the GCP Skills skill category.
| Rds Instance Setup - Auto-activating skill for AWS Skills. Part of the AWS Skills skill category.
| This skill assists in implementing Real User Monitoring (RUM) to capture and analyze actual user performance data. It helps set up tracking for key metrics like Core Web Vitals, page load times, and custom performance events. Use this skill when the user asks to "setup RUM", "implement real user monitoring", "track user experience", or needs assistance with "performance monitoring". It guides the user through choosing a RUM platform, designing an instrumentation strategy, and implementing the necessary tracking code.
| Route53 Record Manager - Auto-activating skill for AWS Skills. Part of the AWS Skills skill category.
| S3 Bucket Policy Generator - Auto-activating skill for AWS Skills. Part of the AWS Skills skill category.
| S3 Lifecycle Config - Auto-activating skill for AWS Skills. Part of the AWS Skills skill category.
| Sagemaker Endpoint Deployer - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| Sam Template Builder - Auto-activating skill for AWS Skills. Part of the AWS Skills skill category.
| This skill helps you scan your codebase for exposed secrets and credentials. It uses pattern matching and entropy analysis to identify potential security vulnerabilities such as API keys, passwords, and private keys. Use this skill when you want to proactively identify and remediate exposed secrets before they are committed to version control or deployed to production. It is triggered by phrases like "scan for secrets", "check for exposed credentials", "find API keys", or "run secret scanner".
| This skill enables Claude to seamlessly integrate with various secrets managers like HashiCorp Vault and AWS Secrets Manager. It generates configurations and setup code, ensuring best practices for secure credential management. Use this skill when you need to manage sensitive information, generate production-ready configurations, or implement a security-first approach for your DevOps infrastructure. Trigger terms include "integrate secrets manager", "configure Vault", "AWS Secrets Manager setup", "manage credentials securely", or requests for secure configuration generation.
| Security Group Generator - Auto-activating skill for AWS Skills. Part of the AWS Skills skill category.
| This skill enables Claude to identify potential security misconfigurations in various systems and configurations. It leverages the security-misconfiguration-finder plugin to analyze infrastructure-as-code, application configurations, and system settings, pinpointing common vulnerabilities and compliance issues. Use this skill when the user asks to "find security misconfigurations", "check for security vulnerabilities in my configuration", "audit security settings", or requests a security assessment of a specific system or file. This skill will assist in identifying and remediating potential security weaknesses.
| Service Account Manager - Auto-activating skill for GCP Skills. Part of the GCP Skills skill category.
| This skill configures service meshes like Istio and Linkerd for microservices. It generates production-ready configurations, implements best practices, and ensures a security-first approach. Use this skill when the user asks to "configure service mesh", "setup Istio", "setup Linkerd", or requests assistance with "service mesh configuration" for their microservices architecture. The configurations will be tailored to the specified infrastructure requirements.
| Execute use when setting up log aggregation solutions using ELK, Loki, or Splunk. Trigger with phrases like "setup log aggregation", "deploy ELK stack", "configure Loki", or "install Splunk". Generates production-ready configurations for data ingestion, processing, storage, and visualization with proper security and scalability.
Setup synthetic monitoring for proactive performance tracking including uptime checks, transaction monitoring, and API health. Use when implementing availability monitoring or tracking critical user journeys. Trigger with phrases like "setup synthetic monitoring", "monitor uptime", or "configure health checks".