detecting-infrastructure-drift
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."
Best use case
detecting-infrastructure-drift is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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."
Teams using detecting-infrastructure-drift should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/infrastructure-drift-detector/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How detecting-infrastructure-drift Compares
| Feature / Agent | detecting-infrastructure-drift | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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."
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
## Overview 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. ## How It Works 1. **Invocation**: The user requests drift detection. 2. **Drift Analysis**: Claude executes the `drift-detect` command. 3. **Report Generation**: The command analyzes the infrastructure and identifies any deviations from the defined configuration. 4. **Result Presentation**: Claude presents a report detailing the detected drift, including affected resources and configuration differences. ## When to Use This Skill This skill activates when you need to: - Identify infrastructure drift in your environment. - Ensure that your infrastructure configuration matches the desired state. - Generate a report detailing discrepancies between the current and desired infrastructure configurations. ## Examples ### Example 1: Checking for Infrastructure Drift User request: "Check for infrastructure drift in my production environment." The skill will: 1. Execute the `drift-detect` command. 2. Present a report detailing any detected drift, including resource changes and configuration differences. ### Example 2: Identifying Configuration Changes User request: "Are there any configuration changes that haven't been applied to my infrastructure?" The skill will: 1. Execute the `drift-detect` command. 2. Provide a summary of configuration changes that are present in the desired state but not reflected in the current infrastructure. ## Best Practices - **Regular Monitoring**: Schedule regular drift detection checks to proactively identify and address configuration inconsistencies. - **Version Control**: Ensure your infrastructure-as-code configurations are version-controlled to track changes and facilitate rollbacks. - **Automated Remediation**: Implement automated remediation workflows to automatically correct detected drift and maintain infrastructure consistency. ## Integration 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.
Related Skills
detecting-sql-injection-vulnerabilities
This skill enables Claude to detect SQL injection vulnerabilities in code. It uses the sql-injection-detector plugin to analyze codebases, identify potential SQL injection flaws, and provide remediation guidance. Use this skill when the user asks to find SQL injection vulnerabilities, scan for SQL injection, or check code for SQL injection risks. The skill is triggered by phrases like "detect SQL injection", "scan for SQLi", or "check for SQL injection vulnerabilities".
detecting-performance-regressions
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.
model-drift-detector
Model Drift Detector - Auto-activating skill for ML Deployment. Triggers on: model drift detector, model drift detector Part of the ML Deployment skill category.
detecting-memory-leaks
This skill enables Claude to detect potential memory leaks and analyze memory usage patterns in code. It is triggered when the user requests "detect memory leaks", "analyze memory usage", or similar phrases related to memory leak detection and performance analysis. The skill identifies potential issues such as unremoved event listeners, closures preventing garbage collection, uncancelled timers, unbounded cache growth, circular references, detached DOM nodes, and unnecessary global state accumulation. It then provides detailed fix recommendations. Use this skill to proactively identify and resolve memory leaks, improving application performance and stability.
collecting-infrastructure-metrics
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.
generating-infrastructure-as-code
This skill enables Claude to generate Infrastructure as Code (IaC) configurations. It uses the infrastructure-as-code-generator plugin to create production-ready IaC for Terraform, CloudFormation, Pulumi, ARM Templates, and CDK. Use this skill when the user requests IaC configurations for cloud infrastructure, specifying the platform (e.g., Terraform, CloudFormation) and cloud provider (e.g., AWS, Azure, GCP), or when the user needs help automating infrastructure deployment. Trigger terms include: "generate IaC", "create Terraform", "CloudFormation template", "Pulumi program", "infrastructure code".
detecting-performance-bottlenecks
Execute this skill enables AI assistant to detect and resolve performance bottlenecks in applications. it analyzes cpu, memory, i/o, and database performance to identify areas of concern. use this skill when you need to diagnose slow application performance, op... Use when optimizing performance. Trigger with phrases like 'optimize', 'performance', or 'speed up'.
detecting-database-deadlocks
Process use when you need to work with deadlock detection. This skill provides deadlock detection and resolution with comprehensive guidance and automation. Trigger with phrases like "detect deadlocks", "resolve deadlocks", or "prevent deadlocks".
detecting-data-anomalies
Process identify anomalies and outliers in datasets using machine learning algorithms. Use when analyzing data for unusual patterns, outliers, or unexpected deviations from normal behavior. Trigger with phrases like "detect anomalies", "find outliers", or "identify unusual patterns".
checking-infrastructure-compliance
Execute use when you need to work with compliance checking. This skill provides compliance monitoring and validation with comprehensive guidance and automation. Trigger with phrases like "check compliance", "validate policies", or "audit compliance".
import-infrastructure-as-code
Import existing Azure resources into Terraform using Azure CLI discovery and Azure Verified Modules (AVM). Use when asked to reverse-engineer live Azure infrastructure, generate Infrastructure as Code from existing subscriptions/resource groups/resource IDs, map dependencies, derive exact import addresses from downloaded module source, prevent configuration drift, and produce AVM-based Terraform files ready for validation and planning across any Azure resource type.
terraform-infrastructure
Terraform infrastructure as code workflow for provisioning cloud resources, creating reusable modules, and managing infrastructure at scale.