What is the minimum confidence threshold for detection?

The default detection threshold is 70% (0.7), though this can be customized to be more permissive or strict based on your project requirements.

Which cloud providers can this skill detect?

Currently, the skill supports Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure, with the ability to add custom providers like DigitalOcean.

How does the detection mechanism work?

It uses a weighted multi-signal approach, analyzing Terraform declarations, package managers (NPM/Python), configuration files, CLI scripts, and Docker base images.

Can I manually override the detection results?

Yes, you can provide a manual override flag via the CLI or use a specific provider parameter in the JavaScript implementation to bypass auto-detection.

Is the scanning process slow for large repositories?

No, the skill is optimized with glob patterns and streaming file reads, typically completing detection in under 100ms for standard project sizes.

Cloud Provider Detector

Name: Cloud Provider Detector
Author: FortiumPartners

byFortiumPartners

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Cloud Infrastructure

Automatically identifies AWS, GCP, or Azure environments within a project using high-accuracy multi-signal analysis.

About

The Cloud Provider Detector is a specialized skill for Claude Code designed to intelligently determine the target cloud platform of any codebase. By scanning for specific indicators in Terraform files, package manifests, Docker images, and configuration files, it generates a detailed confidence report with over 95% accuracy. This utility is essential for developers and AI agents who need to automatically load cloud-specific documentation, best practices, and infrastructure skills without manual configuration, streamlining the management of AWS, GCP, and Azure environments.

Key Features

95%+ detection accuracy with weighted confidence scoring
5 GitHub stars
Multi-signal analysis covering Terraform, NPM, Python, and Docker patterns
Support for major providers including AWS, GCP, and Azure
High-performance file scanning with less than 100ms detection time
Extensible pattern system for adding custom cloud providers

Use Cases

Automated infrastructure audits to identify used cloud resources and providers
Context-aware loading of cloud-specific Claude skills for AI-driven dev tasks
Standardizing CI/CD workflows by auto-detecting deployment environments

About

Key Features

95%+ detection accuracy with weighted confidence scoring
5 GitHub stars
Multi-signal analysis covering Terraform, NPM, Python, and Docker patterns
Support for major providers including AWS, GCP, and Azure
High-performance file scanning with less than 100ms detection time
Extensible pattern system for adding custom cloud providers

Use Cases

Automated infrastructure audits to identify used cloud resources and providers
Context-aware loading of cloud-specific Claude skills for AI-driven dev tasks
Standardizing CI/CD workflows by auto-detecting deployment environments