010-archive/backups-20251108/skills-migration-20251108-070147/plugins/devops/infrastructure-drift-detector/skills/infrastructure-drift-detector/SKILL.md
This skill enables Claude to detect infrastructure drift from a desired state. It uses the `drift-detect` command to identify discrepancies between the current infrastructure configuration and the intended configuration, as defined in infrastructure-as-code tools like Terraform. Use this skill when the user asks to check for infrastructure drift, identify configuration changes, or ensure that the current infrastructure matches the desired state. It is particularly useful in DevOps workflows for maintaining infrastructure consistency and preventing configuration errors. Trigger this skill when the user mentions "drift detection," "infrastructure changes," "configuration drift," or requests a "drift report."
npx skillsauth add intent-solutions-io/plugins-nixtla detecting-infrastructure-driftInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
This skill empowers Claude to identify and report on deviations between the current state of your infrastructure and its defined desired state. By leveraging the drift-detect command, it provides insights into configuration inconsistencies, helping maintain infrastructure integrity and prevent unexpected issues.
drift-detect command.This skill activates when you need to:
User request: "Check for infrastructure drift in my production environment."
The skill will:
drift-detect command.User request: "Are there any configuration changes that haven't been applied to my infrastructure?"
The skill will:
drift-detect command.This skill can be integrated with other DevOps tools and plugins to automate infrastructure management workflows. For example, it can be used in conjunction with configuration management tools like Ansible or Puppet to automatically remediate detected drift. It also complements infrastructure-as-code tools like Terraform by providing a mechanism for verifying that the deployed infrastructure matches the defined configuration.
tools
This skill enables Claude to create and execute load tests for performance validation. It is designed to generate load test scripts using tools like k6, JMeter, and Artillery, based on specified test scenarios. Use this skill when the user requests to create a "load test", conduct "performance testing", validate "application performance", or needs a "stress test" to identify breaking points in the application. The skill helps define performance thresholds and provides execution instructions.
testing
This skill enables Claude to collect comprehensive infrastructure performance metrics across compute, storage, network, containers, load balancers, and databases. It is triggered when the user requests "collect infrastructure metrics", "monitor server performance", "set up performance dashboards", or needs to analyze system resource utilization. The skill configures metrics collection, sets up aggregation, and helps create infrastructure dashboards for health monitoring and capacity tracking. It supports configuration for Prometheus, Datadog, and CloudWatch.
tools
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.
development
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".