Can this skill generate variable schemas automatically?

Yes, it analyzes how values are used to infer types (string, integer, boolean), default values, and validation patterns like regex or allowed value lists.

Is it useful for non-cloud configuration files?

While optimized for Cloud Infrastructure, the pattern detection logic works effectively on most structured configuration formats like YAML, JSON, and TOML.

What infrastructure frameworks are supported?

The skill supports a wide range of frameworks including Terraform (HCL), Pulumi, CloudFormation, Azure Bicep, ARM templates, and Kubernetes YAML/JSON.

How does it handle sensitive information like passwords?

It features a dedicated secret detection engine that identifies API keys, tokens, and passwords, flagging them for secure handling via secret management references rather than plain text variables.

Pattern Extraction & Template Generator

Name: Pattern Extraction & Template Generator
Author: markus41

bymarkus41

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Cloud Infrastructure

Analyzes infrastructure codebases to detect recurring patterns and automatically generate parameterized, reusable templates.

This skill empowers DevOps engineers and developers to modernize their infrastructure by automatically scanning existing codebases (Terraform, Kubernetes, Bicep, and more) to identify hardcoded values and structural patterns. It intelligently suggests variables, infers data types, and extracts naming conventions, allowing you to transform static configuration files into dynamic, reusable template libraries. Whether you are standardizing multi-cloud deployments or refactoring legacy scripts, this tool provides the analytical depth needed to automate the transition to a modular infrastructure-as-code architecture.

Key Features

01Multi-stack technology detection for Terraform, Pulumi, Kubernetes, and Bicep

02Intelligent variable identification with automatic type and constraint inference

03Structural analysis of resource hierarchies and module boundaries

049 GitHub stars

05Automated extraction of environment-specific values and resource naming patterns

06Security-aware detection of secrets and sensitive configuration patterns

Use Cases

01Automating the creation of variable schemas and documentation from existing production code

02Converting legacy hardcoded infrastructure into modular, reusable templates

03Standardizing resource naming and tagging strategies across diverse cloud environments

Key Features

01Multi-stack technology detection for Terraform, Pulumi, Kubernetes, and Bicep

02Intelligent variable identification with automatic type and constraint inference

03Structural analysis of resource hierarchies and module boundaries

049 GitHub stars

05Automated extraction of environment-specific values and resource naming patterns

06Security-aware detection of secrets and sensitive configuration patterns

Use Cases

01Automating the creation of variable schemas and documentation from existing production code

02Converting legacy hardcoded infrastructure into modular, reusable templates

03Standardizing resource naming and tagging strategies across diverse cloud environments