create-ruleset-modules

Detect and structure rule set modules from YAML policy documents using heuristics.

1|Updated Apr 14, 2026
One-click install
npx skills add https://github.com/navapbc/lockpicks-xlator-plugin --skill create-ruleset-modules
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: create-ruleset-modules
Source: https://github.com/navapbc/lockpicks-xlator-plugin/tree/main/xl-plugin/skills/create-ruleset-modules
Command: npx skills add https://github.com/navapbc/lockpicks-xlator-plugin --skill create-ruleset-modules

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the detection and structuring of rule set modules from domain-specific policy documents, saving time and ensuring accuracy in rule set development.

Core Features & Use Cases

  • Automated Rule Set Module Detection: Identifies subsets of rules within rule set groups using heuristics and metadata analysis.
  • Input Analysis: Processes YAML files for domain-specific policy documents to identify relevant computations and sections.
  • Heuristic-Based Analysis: Applies heuristics to extract relevant rule set modules, including reuse, sequential chains, depth thresholds, and more.
  • Use Case: Automate the analysis of government policy documents, identifying key modules and rules to build modernized systems following the Rules-as-Code approach.

Quick Start

Use the /create-ruleset-modules <domain> <approximate_num_of_modules> <module_names> command to initiate the module detection process for the specified domain.

Frequently Asked Questions about create-ruleset-modules

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate rule set module detection from YAML policy documents?

Automate rule set module detection by parsing YAML files and applying heuristic analysis to identify relevant computations, sequential chains, and reuse patterns within domain-specific policy documents.

What is the Rules-as-Code approach for policy automation?

The Rules-as-Code approach modernizes government policy documents by structuring them into executable rule set modules using heuristic-based pattern matching and metadata analysis.

How do I structure domain-specific policy documents into modules?

Structure policy documents into modules by identifying rule subsets within groups using heuristics for depth thresholds, reuse patterns, and sequential chains extracted via YAML parsing.

Do I need Python to parse YAML files for heuristic analysis?

Yes, Python is required as a dependency to run the heuristic analysis and parse YAML files for extracting and structuring rule set modules from policy documents.

Can heuristics identify sequential chains and reuse patterns in rule sets?

Yes, heuristics can identify sequential chains, reuse patterns, and depth thresholds in rule sets by applying pattern matching and metadata analysis to YAML-based policy documents.

What are the limitations of heuristic analysis in policy automation?

Heuristic analysis relies on pattern matching and metadata from YAML files, meaning module detection accuracy depends on the structure and consistency of the input domain-specific policy documents.