unv-sn-backparse

Parse UNV biblical text with Strong's Numbers into structured semantic groups.

1|Updated May 4, 2025
One-click install
npx skills add https://github.com/joshuachen3333/strong_number_embedding --skill unv-sn-backparse
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: unv-sn-backparse
Source: https://github.com/joshuachen3333/strong_number_embedding/tree/main/sn_within_unv_selfgroup_segmentation/.claude/skills/unv-sn-backparse
Command: npx skills add https://github.com/joshuachen3333/strong_number_embedding --skill unv-sn-backparse

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill parses Chinese Union Version biblical text annotated with Strong's numbers into structured semantic groups, enabling automated analysis, verification, and batch processing.

Core Features & Use Cases

  • Three-section output: parsed semantic groups, raw UNV+SN source text, and morphology notes for each verse
  • Compound preposition handling: detects and resolves complex prepositional phrases across UNV+SN data
  • Batch processing: parse single verses or ranges to produce consistent outputs for QA and study

Quick Start

Use this skill to parse Genesis 1:1 and obtain three-section output ready for review.

Frequently Asked Questions about unv-sn-backparse

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

FAQPage Schema
How do I parse biblical text with Strong's numbers into structured groups?

Parse UNV+SN biblical text by submitting verses or chapter ranges to extract semantic groups, morphology data, and normalized output. The Skill produces three-section results: parsed semantic groups, raw annotated source, and morphology notes for each verse.

Can I batch process multiple verses or chapter ranges at once?

Yes, batch processing handles single verses through chapter ranges consistently. Submit your range, and the Skill normalizes tokens, classifies morphology and prefixes, resolves preposition logic, and logs uncertainty per specification for uniform output.

What does compound preposition handling do in UNV+SN parsing?

Compound preposition handling detects and resolves complex prepositional phrases across UNV+SN data, applying brace preposition logic to correctly segment and classify morphological boundaries within annotated biblical text.

Does this Skill work for analyzing Strong's number groupings and morphology patterns?

Yes, it satisfies token classification for core words, morphology, and prefixes, enabling analysis of Strong's number groupings, morphological patterns, and their output formats across verses or batches.

What output formats does the Skill produce for QA and study workflows?

The three-section output delivers parsed semantic groups for analysis, raw UNV+SN source text for verification, and morphology notes for study. Automated uncertainty logging supports quality assurance per specification v1.8.

Do I need prior knowledge of Strong's number annotation systems to use this Skill?

Familiarity with UNV (Chinese Union Version) and Strong's number annotation helps, but the Skill handles normalization and token classification automatically. Start with Genesis 1:1 to review the three-section output structure.