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unfoldingWord

Official

@unfoldingword

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210Public Repos
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25Published Skills

THE CHURCH IN EVERY PEOPLE GROUP | THE BIBLE IN EVERY LANGUAGE

Skills Distribution
DomainBusiness, Fi...Linguistic Data En.. (40%)Quality Assurance .. (30%)Content Transforma.. (30%)

Agent Skills by unfoldingWord

Showing 25 vetted skills indexed across 1 GitHub repositories.

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tn-quick

Write concise translation notes and append them to output/scratch.txt.

Official
Basic
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repo-insert

Insert AI-generated ULT, UST, or TN content into Door43 repo clones and merge via pull requests.

Official
Advanced
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makeBP

Orchestrate end-to-end Book Package generation from ULT through repo-insert.

Official
Advanced
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test-poc

Compare Hebrew quote extraction methods and generate a comparison report.

Official
Advanced
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repo-verify

Compare local staging to remote Door43 master to verify repo-insert merges.

Official
Intermediate
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1

deep-issue-id

Orchestrate multi-agent waves to identify translation issues in ULT/UST chapters.

Official
Advanced
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issue-identification

Identify and classify translation issues in ULT/Hebrew/Greek texts into 94 types.

Official
Advanced
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pipeline-overview

Explain the unfoldingWord BP pipeline and map stages to Skill.md paths.

Official
Intermediate
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gemini-review

Review BP pipeline outputs with Gemini and write findings to markdown files.

Official
Advanced
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tn-writer

Generate per-verse translation notes from issue TSV data using deterministic prep steps.

Official
Intermediate
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initial-pipeline

Coordinate multi-agent BP chapter pipeline for ULT-gen, issue-id, and UST-gen.

Official
Advanced
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ULT-alignment

Map Hebrew source words to English ULT words with JSON alignment output.

Official
Intermediate
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parallel-batch

Coordinate splitting, parallel tn-writer execution, and merging of issue TSVs into notes TSV.

Official
Advanced
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hebrew-reference

Reference Hebrew idioms, grammar patterns, and vocabulary with usage notes.

Official
Basic
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create-issue-description

Create or update translation issue description files with YAML frontmatter and required sections.

Official
Intermediate
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1

tq-writer

Update Translation Questions to align with current ULT/UST texts.

Official
Advanced
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tn-quality-check

Run mechanical and semantic quality checks on AI-generated translation notes.

Official
Advanced
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UST-gen

Convert T4T chapters into unfoldingWord Simplified Text in natural English.

Official
Advanced
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align-all-parallel

Coordinate parallel ULT and UST alignments for a chapter.

Official
Advanced
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post-edit-review

Update translation issues and notes to match human-edited ULT/UST files.

Official
Advanced
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editor-compare

Compare editor-edited ULT/UST with AI output to produce per-verse discrepancy reports.

Official
Advanced
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1

UST-alignment

Generate meaning-based Hebrew-to-English UST alignments as JSON mappings.

Official
Intermediate
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chapter-intro

Generate translator-focused chapter introductions summarizing movement, themes, and translation challenges.

Official
Intermediate
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simplified-transform

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

Official
Basic

Frequently Asked Questions About unfoldingWord

FAQPage Schema
What specific translation tasks are enabled by these capabilities?

These capabilities enable the generation of UnfoldingWord Literal Text and Simplified Text, the creation of per-verse translation notes, and the systematic identification of linguistic issues across biblical texts. They support the entire lifecycle from source Hebrew alignment to final repository integration.

Which technical personas benefit from these translation systems?

Linguistic engineers, biblical translation project managers, and data analysts working within the Door43 ecosystem utilize these systems. They are designed for professionals managing large-scale, multi-language text pipelines requiring strict adherence to source-text alignment and semantic quality standards.

What are the primary dependencies for running these translation pipelines?

Execution requires access to Door43 repository structures, USFM source files, and specific TOML configuration files. The system relies on Jinja templates for text transformation and requires a local environment capable of processing TSV data and JSON alignment mappings.