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hetman

Orchestrate module enrichment, validation, and MDX regeneration via Python wrapper.

9|4|Updated Dec 21, 2025
Search Tags:#automation#workflow#validation#vocabulary#module#mdx#enrichment
One-click install
npx skills add https://github.com/learn-ukrainian/learn-ukrainian.github.io --skill hetman
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hetman
Source: https://github.com/learn-ukrainian/learn-ukrainian.github.io/tree/main/gemini_extensions/skills/hetman
Command: npx skills add https://github.com/learn-ukrainian/learn-ukrainian.github.io --skill hetman

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates end-to-end enrichment of curriculum modules by orchestrating activities, vocabulary generation, validation, and MDX regeneration, reducing manual orchestration effort.

Core Features & Use Cases

  • Orchestrates enrichment workflow by invoking build_module_v5.py to enrich a specified module.
  • Performs validation checks (morphology, Russicism) and generates updated content.
  • Produces a refreshed MDX version and supports a review pass (adversarial/AI-assisted).
  • Useful for educators and content developers maintaining large module sets across tracks.

Quick Start

Use the hetman skill to enrich a specific module by supplying the track and module identifiers.

Frequently Asked Questions about hetman

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

FAQPage Schema
How do I automate module enrichment and vocabulary generation for educational content?▼

Module enrichment is automated by orchestrating activities, vocabulary generation, validation checks, and MDX regeneration through a Python-based wrapper, reducing manual curriculum orchestration effort.

What is the best way to validate curriculum modules for morphology and Russicism errors?▼

Curriculum validation for morphology and Russicism is performed automatically during the enrichment workflow, generating updated content and producing a refreshed MDX version for review.

Can I use a Python wrapper to regenerate MDX files across multiple educational tracks?▼

Yes, a Python-based wrapper handles end-to-end module development workflows across tracks, applying enrichment, validation, MDX regeneration, and review passes for large module sets.

How do I run an adversarial review pass on enriched curriculum modules?▼

An adversarial or AI-assisted review pass is supported after the enrichment and validation workflow completes, allowing educators to evaluate the regenerated MDX content for quality.

Do I need specific track and module identifiers to start the end-to-end enrichment workflow?▼

Yes, you must supply specific track and module identifiers to invoke the build script and begin orchestrating the enrichment, validation, and MDX regeneration processes.

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