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model-code-analyzer

Translate mathematical modeling plans into Python or MATLAB code logic and layout.

Updated Jul 6, 2026
Search Tags:#methodology#python#code generation#modeling#matlab
One-click install
npx skills add https://github.com/echo-ice/mathmodeling-ssl --skill model-code-analyzer-echo-ice
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: model-code-analyzer
Source: https://github.com/echo-ice/mathmodeling-ssl/tree/main/.codex/skills/model-code-analyzer
Command: npx skills add https://github.com/echo-ice/mathmodeling-ssl --skill model-code-analyzer-echo-ice

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill transforms validated mathematical modeling plans into a language-neutral code logic and layout, simplifying the transition to executable code.

Core Features & Use Cases

  • Code Logic Translation: Converts modeling plans into executable code logic.
  • Code Layout Definition: Outlines the folder structure and file naming conventions for code generation.
  • Use Case: For a modeler who has chosen a set of methods for a subquestion and needs to translate those methods into code for execution.

Quick Start

Run the model-code-analyzer skill with the model-code-analyzer run --methods-methods/Qx/qx_method_candidates.md --target python --round round1 --data workspace/data/data_clean/indicator_data.csv.

Frequently Asked Questions about model-code-analyzer

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

FAQPage Schema
How do I translate mathematical modeling plans into Python code structure?▼

To translate mathematical modeling plans into Python code structure, this Skill converts validated method specifications into language-neutral code logic and defines the folder layout to simplify executable generation.

What is the process for generating MATLAB code layout from a method pool?▼

Generating MATLAB code layout from a method pool involves transforming candidate methods and target data into file naming conventions and executable logic tailored for end-to-end modeling workflows.

Do I need specific data formats to convert modeling plans into code logic?▼

Yes, converting modeling plans into code logic requires a candidate method pool, a specified implementation target like Python or MATLAB, and structured data to complete the end-to-end workflow.

Can I define folder structure and file naming conventions for code generation?▼

Yes, you can define folder structure and file naming conventions for code generation directly through the layout definition feature, which outlines the project architecture alongside the translated code logic.

What's the best way to outline code logic from mathematical specifications?▼

The best way to outline code logic from mathematical specifications is to process validated method plans through an analyzer that structures the logic and layout specifically for AI code generation.

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