Can I integrate this into my CI/CD pipeline?

Yes, the skill includes a CLI that outputs JSON, making it easy to parse in shell scripts or CI/CD environments to trigger specific actions based on the detected stack.

Is the detection logic customizable?

Absolutely. You can modify the tooling-patterns.json file to add custom signals, adjust weights, or change the minimum confidence thresholds for your specific needs.

What tools can this skill identify?

The Tooling Detector currently identifies Helm charts, Kubernetes manifests, Kustomize configurations, and ArgoCD setups using specialized detection signals.

How does the detection algorithm work?

It uses multi-signal analysis, checking for specific files (like Chart.yaml), directories (like templates/), and content patterns (like apiVersion fields) to calculate a confidence score.

Infrastructure Tooling Detector

Name: Infrastructure Tooling Detector
Author: FortiumPartners

byFortiumPartners

Deployment & DevOps

Automatically identifies infrastructure and DevOps tools like Helm and Kubernetes using multi-signal analysis for intelligent workflow automation.

About

The Infrastructure Tooling Detector is a specialized skill designed to analyze repositories and accurately identify the presence of DevOps tools including Helm, Kubernetes, Kustomize, and ArgoCD. By employing a weighted multi-signal algorithm that examines file structures, directory hierarchies, and code patterns, it achieves over 95% detection accuracy. This skill is essential for AI-augmented development, as it allows Claude to dynamically load relevant domain-specific skills, perform automated project audits, and optimize CI/CD integrations based on the specific infrastructure stack discovered within a project.

Key Features

CLI and Programmatic Node.js API for flexible integration
0 GitHub stars
Extensible pattern matching via customizable JSON configurations
Support for Helm, Kubernetes, Kustomize, and ArgoCD
Weighted confidence scoring with signal boosting logic
High-accuracy (95%+) multi-signal detection for infra tooling

Use Cases

Performing rapid stack audits on unfamiliar or legacy codebases
Automatically loading domain-specific AI skills based on detected project tech
Dynamic CI/CD pipeline configuration based on detected infrastructure requirements

About

Key Features

CLI and Programmatic Node.js API for flexible integration
0 GitHub stars
Extensible pattern matching via customizable JSON configurations
Support for Helm, Kubernetes, Kustomize, and ArgoCD
Weighted confidence scoring with signal boosting logic
High-accuracy (95%+) multi-signal detection for infra tooling

Use Cases

Performing rapid stack audits on unfamiliar or legacy codebases
Automatically loading domain-specific AI skills based on detected project tech
Dynamic CI/CD pipeline configuration based on detected infrastructure requirements