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
| 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".
| Sklearn Pipeline Builder - Auto-activating skill for ML Training. Part of the ML Training skill category.
| Sns Topic Config - Auto-activating skill for AWS Skills. Part of the AWS Skills skill category.
| Sqs Queue Setup - Auto-activating skill for AWS Skills. Part of the AWS Skills skill category.
| This skill automates the setup of synthetic monitoring for applications. It allows Claude to proactively track performance and availability by configuring uptime, transaction, and API monitoring. Use this skill when the user requests to "set up synthetic monitoring", "configure uptime monitoring", "track application performance", or needs help with "proactive performance tracking". The skill helps to identify critical endpoints and user journeys, design monitoring scenarios, and configure alerts and dashboards.
| Tensorflow Savedmodel Creator - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| Tensorflow Serving Setup - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| This skill empowers Claude 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 security, scalability, and multi-platform support. Use this skill when the user requests to create a new Terraform module, generate Terraform configuration, or needs help structuring infrastructure as code using Terraform. The trigger terms include "create Terraform module," "generate Terraform configuration," "Terraform module code," and "infrastructure as code."
| Terraform Module Creator - Auto-activating skill for DevOps Advanced. Part of the DevOps Advanced skill category.
| Terraform Provider Config - Auto-activating skill for DevOps Advanced. Part of the DevOps Advanced skill category.
| Terraform State Manager - Auto-activating skill for DevOps Advanced. Part of the DevOps Advanced skill category.
| This skill enables Claude to manage isolated test environments using Docker Compose, Testcontainers, and environment variables. It is used to create consistent, reproducible testing environments for software projects. Claude should use this skill when the user needs to set up a test environment with specific configurations, manage Docker Compose files for test infrastructure, set up programmatic container management with Testcontainers, manage environment variables for tests, or ensure cleanup after tests. Trigger terms include "test environment", "docker compose", "testcontainers", "environment variables", "isolated environment", "env-setup", and "test setup".
| Torchscript Exporter - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| Torchserve Config Generator - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
Track and optimize application response times across API endpoints, database queries, and service calls. Use when monitoring performance or identifying bottlenecks. Trigger with phrases like "track response times", "monitor API performance", or "analyze latency".
Define and track SLAs, SLIs, and SLOs for service reliability including availability, latency, and error rates. Use when establishing reliability targets or monitoring service health. Trigger with phrases like "define SLOs", "track SLI metrics", or "calculate error budget".
| Track new token launches across DEXes with risk analysis and contract verification. Use when discovering new token launches, monitoring IDOs, or analyzing token contracts. Trigger with phrases like "track launches", "find new tokens", "new pairs on uniswap", "token risk analysis", or "monitor IDOs".
| Validate production readiness of Vertex AI Agent Engine deployments across security, monitoring, performance, compliance, and best practices. Generates weighted scores (0-100%) with actionable remediation plans. Use when asked to validate a deployment, run a production readiness check, audit security posture, or verify compliance for Vertex AI agents. Trigger with "validate deployment", "production readiness", "security audit", "compliance check", "is this agent ready for prod", "check my ADK agent", "review before deploy", or "production readiness check". Make sure to use this skill whenever validating ADK agents for Agent Engine.
Build and deploy production-ready generative AI agents using Vertex AI, Gemini models, and Google Cloud infrastructure with RAG, function calling, and multi-modal capabilities