simplified-transform

Name: simplified-transform
Availability: InStock
Author: unfoldingWord

Transform source text into unfoldingWord Simplified Text (UST) drafts.

1|Updated Mar 25, 2026

Search Tags:#translation #transform #linguistics #text-rewriting #ust #meaning-based

Ready to run

npx skills add https://github.com/unfoldingWord/bp-assistant-skills --skill simplified-transform

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: simplified-transform
Source: https://github.com/unfoldingWord/bp-assistant-skills/tree/main/.claude/skills/simplified-transform
Command: npx skills add https://github.com/unfoldingWord/bp-assistant-skills --skill simplified-transform

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Legacy placeholder for transforming source text into unfoldingWord Simplified Text (UST) to expose implicit meaning and improve readability. This entry is a placeholder and should not be used for production tasks; use UST-gen when available.

Core Features & Use Cases

Meaning-based rewording to reveal implicit content and improve comprehension.
Structural restructuring of sentences for clarity within UST pipelines.
Use Case: produce a draft meaning-based UST for a given verse as a starting point for translation teams.

Quick Start

Provide a source text and request a meaning-based simplification to unfoldingWord Simplified Text (UST) using the Simplified Transform workflow.

Frequently Asked Questions about simplified-transform

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

FAQPage Schema

How do I convert biblical source text into meaning-based translation?▼

Meaning-based translation converts source text into unfoldingWord Simplified Text (UST) to reveal implicit information and restructure sentences for clarity. You provide a source verse and request a meaning-based simplification to generate a draft.

What is unfoldingWord Simplified Text (UST) used for in translation workflows?▼

UnfoldingWord Simplified Text (UST) is used to expose implicit meaning and improve comprehension by rewriting biblical text meaning-based. It handles figures of speech and restructures sentences to produce a starting draft for translation teams.

How do I handle figures of speech when restructuring text for clarity?▼

Handling figures of speech during text restructuring requires applying UST principles to transform source text into meaning-based output. This reveals implicit content and restructures sentences for clarity within translation pipelines.

Can I use simplified-transform for production translation tasks?▼

You should not use simplified-transform for production translation tasks because it is a legacy placeholder. Use UST-gen instead when it is available for production UST generation workflows.

Do I need a defined source mapping to generate meaning-based text rewrites?▼

Yes, generating meaning-based text rewrites requires a defined mapping from source text to simplified output. This mapping respects UST principles and integrates as a non-destructive step within a larger UST-generation pipeline.