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
Transform monolithic Terraform configurations into reusable, maintainable modules following HashiCorp's module design principles and community best practices.
Guide for running acceptance tests for a Terraform provider. Use this when asked to run an acceptance test or to run a test with the prefix `TestAcc`.
Discover existing cloud resources using Terraform Search queries and bulk import them into Terraform management. Use when bringing unmanaged infrastructure under Terraform control, auditing cloud resources, or migrating to IaC.
Comprehensive guide for working with HashiCorp Terraform Stacks. Use when creating, modifying, or validating Terraform Stack configurations (.tfcomponent.hcl, .tfdeploy.hcl files), working with stack components and deployments from local modules, public registry, or private registry sources, managing multi-region or multi-environment infrastructure, or troubleshooting Terraform Stacks syntax and structure.
Generate Terraform HCL code following HashiCorp's official style conventions and best practices. Use when writing, reviewing, or generating Terraform configurations.
Comprehensive guide for writing and running Terraform tests. Use when creating test files (.tftest.hcl), writing test scenarios with run blocks, validating infrastructure behavior with assertions, mocking providers and data sources, testing module outputs and resource configurations, or troubleshooting Terraform test syntax and execution.
Build Windows images with Packer using WinRM communicator and PowerShell provisioners. Use when creating Windows AMIs, Azure images, or VMware templates.
AWS API Gateway for REST and HTTP API management. Use when creating APIs, configuring integrations, setting up authorization, managing stages, implementing rate limiting, or troubleshooting API issues.
AWS CloudFormation infrastructure as code for stack management. Use when writing templates, deploying stacks, managing drift, troubleshooting deployments, or organizing infrastructure with nested stacks.
AWS CloudWatch monitoring for logs, metrics, alarms, and dashboards. Use when setting up monitoring, creating alarms, querying logs with Insights, configuring metric filters, building dashboards, or troubleshooting application issues.
AWS DynamoDB NoSQL database for scalable data storage. Use when designing table schemas, writing queries, configuring indexes, managing capacity, implementing single-table design, or troubleshooting performance issues.
AWS EC2 virtual machine management for instances, AMIs, and networking. Use when launching instances, configuring security groups, managing key pairs, troubleshooting connectivity, or automating instance lifecycle.
AWS ECS container orchestration for running Docker containers. Use when deploying containerized applications, configuring task definitions, setting up services, managing clusters, or troubleshooting container issues.
AWS EKS Kubernetes management for clusters, node groups, and workloads. Use when creating clusters, configuring IRSA, managing node groups, deploying applications, or integrating with AWS services.
AWS EventBridge serverless event bus for event-driven architectures. Use when creating rules, configuring event patterns, setting up scheduled events, integrating with SaaS, or building cross-account event routing.
AWS Identity and Access Management for users, roles, policies, and permissions. Use when creating IAM policies, configuring cross-account access, setting up service roles, troubleshooting permission errors, or managing access control.
AWS Lambda serverless functions for event-driven compute. Use when creating functions, configuring triggers, debugging invocations, optimizing cold starts, setting up event source mappings, or managing layers.
AWS RDS relational database service for managed databases. Use when provisioning databases, configuring backups, managing replicas, troubleshooting connectivity, or optimizing performance.
AWS S3 object storage for bucket management, object operations, and access control. Use when creating buckets, uploading files, configuring lifecycle policies, setting up static websites, managing permissions, or implementing cross-region replication.
AWS Secrets Manager for secure secret storage and rotation. Use when storing credentials, configuring automatic rotation, managing secret versions, retrieving secrets in applications, or integrating with RDS.
AWS SNS notification service for pub/sub messaging. Use when creating topics, managing subscriptions, configuring message filtering, sending notifications, or setting up mobile push.
AWS SQS message queue service for decoupled architectures. Use when creating queues, configuring dead-letter queues, managing visibility timeouts, implementing FIFO ordering, or integrating with Lambda.
AWS Step Functions workflow orchestration with state machines. Use when designing workflows, implementing error handling, configuring parallel execution, integrating with AWS services, or debugging executions.
| A B Test Config Creator - Auto-activating skill for ML Deployment. Part of the ML Deployment skill category.
| Configure CI/CD pipeline for Abridge clinical AI integrations with GitHub Actions. Use when setting up automated testing, FHIR validation, HIPAA compliance checks, or deployment pipelines for healthcare AI applications. "abridge automated testing", "abridge CI/CD".
| Optimize Abridge clinical AI costs through tier selection, session management, and usage monitoring for healthcare organizations. Use when analyzing Abridge billing, optimizing encounter volume, or right-sizing your Abridge contract for provider count. "abridge budget", "abridge ROI".
| Deploy Abridge clinical AI integration to HIPAA-compliant cloud infrastructure. Use when deploying to GCP Cloud Run, AWS ECS, or Azure Container Apps with healthcare-grade secrets management and compliance controls. "abridge AWS deploy", "abridge HIPAA infrastructure".
| Optimize Abridge clinical AI integration performance for high-volume deployments. Use when reducing note generation latency, optimizing audio streaming throughput, improving FHIR push performance, or scaling for multi-site health systems. "abridge slow", "abridge scale".
| Execute Abridge production readiness checklist for clinical AI deployment. Use when launching Abridge in a healthcare org, preparing for go-live, or validating HIPAA compliance before production deployment. "abridge launch readiness", "abridge prod deploy".
| Implement Abridge rate limiting, backoff, and session throttling patterns. Use when handling 429 errors, managing concurrent encounter sessions, or optimizing API throughput for high-volume clinical deployments. "abridge concurrent sessions".
| Implement Abridge reference architecture for clinical AI integration. Use when designing a new Abridge deployment, reviewing project structure, or planning multi-site health system rollouts with EHR integration. "abridge system design", "abridge multi-site".
| This skill enables Claude to audit access control implementations in various systems. It uses the access-control-auditor plugin to identify potential vulnerabilities and misconfigurations related to access control. Use this skill when the user asks to "audit access control", "check permissions", "assess access rights", or requests a "security review" focused on access management. It's particularly useful for analyzing IAM policies, ACLs, and other access control mechanisms in cloud environments, applications, or infrastructure. The skill helps ensure compliance with security best practices and identify potential privilege escalation paths.
| Deploy and orchestrate Vertex AI ADK agents using A2A protocol. Manages AgentCard discovery, task submission, Code Execution Sandbox, and Memory Bank. Use when asked to "deploy ADK agent" or "orchestrate agents". Trigger with phrases like 'deploy', 'infrastructure', or 'CI/CD'.
| Execute software engineer specializing in creating production-ready ADK agents with best practices, code structure, testing, and deployment automation. Use when asked to "build ADK agent", "create agent code", or "engineer ADK application". Trigger with relevant phrases based on skill purpose.
| Terraform infrastructure specialist for Vertex AI ADK Agent Engine production deployments. Provisions Agent Engine runtime, Code Execution Sandbox, Memory Bank, VPC-SC, IAM, and secure multi-agent infrastructure.
| Adobe App Builder serverless, and dedicated microservice with event-driven Firefly/PDF pipelines. Decision matrix based on team size and throughput. Trigger with phrases like "adobe architecture", "adobe blueprint", "adobe app builder vs standalone", "adobe microservice".
| Configure CI/CD pipelines for Adobe integrations with GitHub Actions, including OAuth credential injection, PDF Services testing, Firefly API smoke tests, and secret scanning for Adobe credential patterns. Trigger with phrases like "adobe CI", "adobe GitHub Actions", "adobe automated tests", "CI adobe", "adobe pipeline".
| Deploy Adobe-powered applications to Vercel, Cloud Run, and Adobe App Builder with proper credential injection and health monitoring. Use when deploying Adobe API integrations to production platforms. Trigger with phrases like "deploy adobe", "adobe Vercel", "adobe Cloud Run", "adobe App Builder deploy", "adobe production deploy".
| Configure Adobe enterprise identity with Admin Console SCIM provisioning, User Management API, product profile-based RBAC, and Federated ID with Azure AD or Google Workspace. Trigger with phrases like "adobe SSO", "adobe RBAC", "adobe enterprise", "adobe roles", "adobe SCIM", "adobe user management".
| Implement load testing, auto-scaling, and capacity planning for Adobe API integrations with k6 scripts targeting Firefly, PDF Services, and Photoshop APIs, plus Kubernetes HPA configuration. Trigger with phrases like "adobe load test", "adobe scale", "adobe performance test", "adobe capacity", "adobe benchmark".
| Set up comprehensive observability for Adobe API integrations with Prometheus metrics, OpenTelemetry traces, structured logging, and alert rules covering Firefly, PDF Services, and Photoshop APIs. Trigger with phrases like "adobe monitoring", "adobe metrics", "adobe observability", "monitor adobe", "adobe alerts", "adobe tracing".
| Execute Adobe production deployment checklist covering credential management, API health checks, rate limit configuration, and rollback procedures for Firefly Services, PDF Services, and I/O Events integrations. Trigger with phrases like "adobe production", "deploy adobe", "adobe go-live", "adobe launch checklist".
| Implement Adobe reference architecture for production integrations covering Firefly Services, PDF Services, I/O Events, and App Builder with layered project layout, error boundaries, and health monitoring. Trigger with phrases like "adobe architecture", "adobe project structure", "how to organize adobe", "adobe layout", "adobe best practices".
| This skill enables Claude to validate the ethical implications and fairness of AI/ML models and datasets. It is triggered when the user requests an ethics review, fairness assessment, or bias detection for an AI system. The skill uses the ai-ethics-validator plugin to analyze models, datasets, and code for potential biases and ethical concerns. It provides reports and recommendations for mitigating identified issues, ensuring responsible AI development and deployment. Use this skill when the user mentions "ethics validation", "fairness assessment", "bias detection", "responsible AI", or related terms in the context of AI/ML.
| Configure CI/CD pipeline for Alchemy-powered Web3 applications. Use when setting up automated testing with Hardhat forks, smart contract verification, or testnet deployment pipelines.
| Deploy Alchemy-powered Web3 applications to Vercel, Cloud Run, and AWS. Use when deploying dApps with server-side Alchemy SDK access, configuring API key secrets, or setting up RPC proxy endpoints. "alchemy production deploy", "dApp deploy".
| Implement reference architecture for Alchemy-powered Web3 applications. Use when designing dApp infrastructure, planning multi-chain deployments, or structuring a production blockchain application. "web3 system design", "alchemy multi-chain design".
| This skill enables Claude to create intelligent alerting rules for proactive performance monitoring. It is triggered when the user requests to "create alerts", "define monitoring rules", or "set up alerting". The skill helps define thresholds, routing, and escalation policies, and offers options for multi-category alert creation, including latency, error rate, throughput, resource utilization, availability, and SLO violation alerts. It is useful for Site Reliability Engineers (SREs) and DevOps teams looking to improve system observability.