resolve-duplicates

Identify and merge duplicate dictionary entries sharing reading and headword.

8|Updated Jan 6, 2026
One-click install
npx skills add https://github.com/tkgally/je-dict-1 --skill resolve-duplicates
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: resolve-duplicates
Source: https://github.com/tkgally/je-dict-1/tree/main/.claude/skills/resolve-duplicates
Command: npx skills add https://github.com/tkgally/je-dict-1 --skill resolve-duplicates

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Maintains dictionary data integrity by identifying and cleaning up duplicate entries that share the same reading and headword.

Core Features & Use Cases

  • Detect duplicates via the validation workflow that flags entries with identical reading and headword.
  • Compare candidate entries to decide which version to keep and what content to preserve.
  • Safely merge unique content or remove duplicates, updating cross-references and indexes as needed.

Quick Start

Identify duplicates using the validation workflow, compare candidate entries, and safely merge or delete duplicates as needed.

Frequently Asked Questions about resolve-duplicates

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

FAQPage Schema
How do I identify and resolve duplicate dictionary entries sharing the same reading and headword?

To resolve duplicate dictionary entries, the skill evaluates reading and headword pairs to detect matches, compares content quality to select a keeper, merges unique data, and updates cross-references and indexes after deletion.

What is the best way to merge duplicate entries during a data-cleanup process?

The best way to merge duplicate entries is to compare candidate entries side by side, select the higher quality version as the keeper, merge any unique content from the duplicate, and safely remove the redundant entry while updating indexes.

Can I use this duplicate validation workflow for large dictionary curation tasks?

Yes, this duplicate validation workflow is designed for dictionary curation tasks. It identifies entries with identical read and headword pairs, evaluates them for content quality, and safely merges or removes duplicates to preserve data integrity.

How do cross-references and indexes get updated when removing duplicate dictionary entries?

Cross-references and indexes are updated automatically after deletion. When duplicate entries are resolved and merged, the skill ensures that all dependent references point to the selected keeper entry to maintain structural integrity.

Why does my validation pipeline flag entries with identical reading and headword pairs?

Validation pipelines flag entries with identical reading and headword pairs because they represent duplicate dictionary entries. This identification step is required to evaluate content quality, select a keeper, and safely merge or remove the redundant data.