DevOps & Cloud Skills

| Set up Customer.io monitoring and observability. Use when implementing metrics, structured logging, alerting, or Grafana dashboards for Customer.io integrations. "customer.io dashboard", "customer.io alerts", "customer.io observability".

| Execute Customer.io production deployment checklist. Use when preparing for production launch, auditing integration quality, or performing pre-launch validation. "deploy customer.io", "customer.io go-live", "customer.io launch".

| Dagster Pipeline Creator - Auto-activating skill for Data Pipelines. Part of the Data Pipelines skill category.

| Data Augmentation Pipeline - Auto-activating skill for ML Training. Part of the ML Training skill category.

| This skill empowers Claude to preprocess and clean data using automated pipelines. It is designed to streamline data preparation for machine learning tasks, implementing best practices for data validation, transformation, and error handling. Claude should use this skill when the user requests data preprocessing, data cleaning, ETL tasks, or mentions the need for automated pipelines for data preparation. Trigger terms include "preprocess data", "clean data", "ETL pipeline", "data transformation", and "data validation". The skill ensures data quality and prepares it for effective analysis and model training.

| This skill enables Claude to monitor database transactions for performance and lock issues using the database-transaction-monitor plugin. It is triggered when the user requests transaction monitoring, lock detection, or rollback rate analysis for databases. Use this skill when the user mentions "monitor database transactions," "detect long-running transactions," "identify lock contention," "track rollback rates," or asks about "transaction anomalies." The skill leverages the `/txn-monitor` command to provide real-time alerts and insights into database health.

| Configure Databricks CI/CD integration with GitHub Actions and Asset Bundles. Use when setting up automated testing, configuring CI pipelines, or integrating Databricks deployments into your build process. Trigger with phrases like "databricks CI", "databricks GitHub Actions", "databricks automated tests", "CI databricks", "databricks pipeline".

| Use when building ML pipelines, training models, or deploying to production. Trigger with phrases like "databricks ML", "mlflow training", "databricks model", "feature store", "model registry".

| Optimize Databricks costs with cluster policies, spot instances, and monitoring. Use when reducing cloud spend, implementing cost controls, or analyzing Databricks usage costs. Trigger with phrases like "databricks cost", "reduce databricks spend", "databricks billing", "databricks cost optimization", "cluster cost".

| Deploy Databricks jobs and pipelines with Declarative Automation Bundles. Use when deploying jobs to different environments, managing deployments, or setting up deployment automation. Trigger with phrases like "databricks deploy", "asset bundles", "databricks deployment", "deploy to production", "bundle deploy".

| Configure Databricks across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment secrets, or implementing environment-specific Databricks configurations. Trigger with phrases like "databricks environments", "databricks staging", "databricks dev prod", "databricks environment setup", "databricks config by env".

| Set up comprehensive observability for Databricks with metrics, traces, and alerts. Use when implementing monitoring for Databricks jobs, setting up dashboards, or configuring alerting for pipeline health. Trigger with phrases like "databricks monitoring", "databricks metrics", "databricks observability", "monitor databricks", "databricks alerts", "databricks logging".

| Execute Databricks production deployment checklist and rollback procedures. Use when deploying Databricks jobs to production, preparing for launch, or implementing go-live procedures. Trigger with phrases like "databricks production", "deploy databricks", "databricks go-live", "databricks launch checklist".

| Configure Deepgram CI/CD integration for automated testing and deployment. Use when setting up continuous integration pipelines, automated testing, or deployment workflows for Deepgram integrations. "deepgram github actions", "deepgram automated testing".

| Optimize Deepgram costs and usage for budget-conscious deployments. Use when reducing transcription costs, implementing usage controls, or optimizing pricing tier utilization. "deepgram budget", "optimize deepgram usage", "deepgram billing".

| Deploy Deepgram integrations to production environments. Use when deploying to cloud platforms, configuring containers, or setting up Deepgram in Docker/Kubernetes/serverless. "deepgram production deploy", "deepgram cloud run", "deepgram lambda".

| Deep dive into migrating to Deepgram from other transcription providers. Use when migrating from AWS Transcribe, Google Cloud STT, Azure Speech, OpenAI Whisper, AssemblyAI, or Rev.ai to Deepgram. "deepgram from AWS", "deepgram from Google", "replace whisper with deepgram".

| Set up comprehensive observability for Deepgram integrations. Use when implementing monitoring, setting up dashboards, or configuring alerting for Deepgram integration health. "monitor deepgram", "deepgram alerts", "deepgram dashboard".

| Deploy this skill enables AI assistant 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 th... Use when deploying or managing infrastructure. Trigger with phrases like 'deploy', 'infrastructure', or 'CI/CD'.

| Monitor use when deploying monitoring stacks including Prometheus, Grafana, and Datadog. Trigger with phrases like "deploy monitoring stack", "setup prometheus", "configure grafana", or "install datadog agent". Generates production-ready configurations with metric collection, visualization dashboards, and alerting rules.

| This skill orchestrates complex, multi-stage deployment pipelines. It generates production-ready configurations and setup code based on user-specified requirements and infrastructure. Use this skill when the user asks to create a deployment pipeline, generate CI/CD configurations, or needs help with automating software deployments. Trigger terms include "deployment pipeline", "CI/CD", "automate deployment", "pipeline configuration", and "deployment orchestration".

| This skill manages and executes deployment rollbacks with safety checks. It helps ensure smooth recovery from failed deployments by automating the rollback process. Use this skill when a deployment has issues, such as errors, performance degradation, or unexpected behavior. The skill is triggered by requests to "rollback deployment", "revert to previous version", or similar phrases related to deployment recovery. It prioritizes safe rollback procedures and provides options for verification.

| Execute use when detecting infrastructure drift from desired state. Trigger with phrases like "check for drift", "infrastructure drift detection", "compare actual vs desired state", or "detect configuration changes". Identifies discrepancies between current infrastructure and IaC definitions using terraform plan, cloudformation drift detection, or manual comparison.

Automatically detect performance regressions in CI/CD pipelines by comparing metrics against baselines. Use when validating builds or analyzing performance trends. Trigger with phrases like "detect performance regression", "compare performance metrics", or "analyze performance degradation".

| This skill automates the setup of distributed tracing for microservices. It helps developers implement end-to-end request visibility by configuring context propagation, span creation, trace collection, and analysis. Use this skill when the user requests to set up distributed tracing, implement observability, or troubleshoot performance issues in a microservices architecture. The skill is triggered by phrases such as "setup tracing", "implement distributed tracing", "configure opentelemetry", or "add observability to microservices".

| Docker Compose Creator - Auto-activating skill for DevOps Basics. Part of the DevOps Basics skill category.

| This skill enables Claude to generate Docker Compose configurations for multi-container applications. It leverages best practices for production-ready deployments, including defining services, networks, volumes, health checks, and resource limits. Claude should use this skill when the user requests a Docker Compose file, specifies application architecture involving multiple containers, or mentions needs for container orchestration, environment variables, or persistent data management in a Docker environment. Trigger terms include "docker-compose", "docker compose file", "multi-container", "container orchestration", "docker environment", "service definition", "volume management", "network configuration", "health checks", "resource limits", and ".env files".

| Docker Container Basics - Auto-activating skill for DevOps Basics. Part of the DevOps Basics skill category.

| Configure CI/CD pipelines for Documenso integrations. Use when setting up automated testing, deployment pipelines, or continuous integration for Documenso projects. Trigger with phrases like "documenso CI", "documenso GitHub Actions", "documenso pipeline", "documenso automated testing".

| Deploy Documenso integrations across different platforms and environments. Use when deploying to cloud platforms, containerizing applications, or setting up infrastructure for Documenso integrations. Trigger with phrases like "deploy documenso", "documenso docker", "documenso kubernetes", "documenso cloud deployment".

| Execute comprehensive Documenso migration strategies for platform switches. Use when migrating from other signing platforms, re-platforming to Documenso, or performing major infrastructure changes. Trigger with phrases like "migrate to documenso", "documenso migration", "switch to documenso", "documenso replatform", "replace docusign".

| Implement monitoring, logging, and tracing for Documenso integrations. Use when setting up observability, implementing metrics collection, or debugging production issues. Trigger with phrases like "documenso monitoring", "documenso metrics", "documenso logging", "documenso tracing", "documenso observability".

| Execute Documenso production deployment checklist and rollback procedures. Use when deploying Documenso integrations to production, preparing for launch, or implementing go-live procedures. Trigger with phrases like "documenso production", "deploy documenso", "documenso go-live", "documenso launch checklist".

| Dynamodb Table Designer - Auto-activating skill for AWS Skills. Part of the AWS Skills skill category.

| Ecs Task Definition Creator - Auto-activating skill for AWS Skills. Part of the AWS Skills skill category.

| Eks Cluster Config - Auto-activating skill for AWS Skills. Part of the AWS Skills skill category.

| Elasticache Config - Auto-activating skill for AWS Skills. Part of the AWS Skills skill category.

| Configure CI/CD pipelines for ElevenLabs with mocked unit tests and gated integration tests. Use when setting up GitHub Actions for TTS projects, configuring CI test strategies, or automating ElevenLabs integration validation. "elevenlabs automated tests", "CI elevenlabs", "elevenlabs pipeline".

| Optimize ElevenLabs costs through model selection, character-efficient patterns, caching, and usage monitoring with budget alerts. Use when analyzing ElevenLabs billing, reducing character usage, or implementing quota monitoring for TTS workloads. "elevenlabs pricing", "elevenlabs expensive", "elevenlabs budget", "elevenlabs characters", "elevenlabs quota".

| Deploy ElevenLabs TTS applications to Vercel, Fly.io, and Cloud Run. Use when deploying ElevenLabs-powered apps to production, configuring platform-specific secrets, or setting up serverless TTS. "elevenlabs Fly.io", "elevenlabs serverless", "host TTS API".

| This skill enables Claude to manage environment configurations and secrets across different deployments using the environment-config-manager plugin. It is invoked when the user needs to generate, update, or retrieve configuration settings for various environments (e.g., development, staging, production). Use this skill when the user explicitly mentions "environment configuration," "secrets management," "deployment configuration," or asks to "generate config files". It helps streamline DevOps workflows by providing production-ready configurations based on best practices.

| This skill enables Claude to monitor and analyze application error rates to improve reliability. It is used when the user needs to track and understand errors occurring in their application, including HTTP errors, application exceptions, database errors, external API errors, background job errors, and client-side errors. Use this skill when the user asks to "monitor errors", "analyze error rates", "track application errors", or requests help with "error monitoring". It sets up comprehensive error tracking and alerting based on defined thresholds.

| Eventbridge Rule Creator - Auto-activating skill for AWS Skills. Part of the AWS Skills skill category.

| Configure CI/CD pipelines for Evernote integrations. Use when setting up automated testing, continuous integration, or deployment pipelines for Evernote projects. Trigger with phrases like "evernote ci", "evernote github actions", "evernote pipeline", "automate evernote tests".

| Deploy Evernote integrations to production environments. Use when deploying to cloud platforms, configuring production, or setting up deployment pipelines. Trigger with phrases like "deploy evernote", "evernote production deploy", "release evernote", "evernote cloud deployment".

| Implement observability for Evernote integrations. Use when setting up monitoring, logging, tracing, or alerting for Evernote applications. Trigger with phrases like "evernote monitoring", "evernote logging", "evernote metrics", "evernote observability".

| Configure Exa CI/CD integration with GitHub Actions and automated testing. Use when setting up automated testing for Exa integrations, configuring CI pipelines, or adding Exa health checks to builds. Trigger with phrases like "exa CI", "exa GitHub Actions", "exa automated tests", "CI exa", "exa pipeline".

| Optimize Exa costs through search type selection, caching, and usage monitoring. Use when analyzing Exa billing, reducing API costs, or implementing budget controls and usage alerts. Trigger with phrases like "exa cost", "exa billing", "reduce exa costs", "exa pricing", "exa expensive", "exa budget".