How do I ensure the website is updated after a deletion?

The skill includes a 'Build Flat File' step which runs the necessary Python scripts to sync the entries with the production website data.

What happens to the word after its entry is deleted?

The workflow includes an optional step to re-add the word to a candidate list if the word itself is valid but the specific entry was flawed.

Why shouldn't I just delete the JSON file directly?

Deleting only the file leaves broken cross-references in other entries and results in stale data in the project indexes and the live website files.

Does this skill handle Japanese text encoding correctly?

Yes, it provides specific grep commands and JSON patterns designed to handle Japanese headwords and readings with furigana safely.

Dictionary Entry Deletion

Name: Dictionary Entry Deletion
Author: tkgally

bytkgally

Gestión de Contenido

Manages the safe removal of dictionary entries while maintaining data integrity and cross-reference consistency.

Acerca de

The delete-entry skill provides a standardized protocol for removing records from the je-dict-1 Japanese-English learner's dictionary. It goes beyond simple file deletion by guiding users through a rigorous workflow that includes auditing cross-references, updating relational indexes, and rebuilding flat-file website data. This ensures that deletions—whether due to duplication, errors, or scope changes—do not result in broken links or stale data in the production environment.

Características Principales

Candidate list management for potential future re-entry
0 GitHub stars
Pre-deletion validation checklists for data safety
Comprehensive cross-reference searching using grep patterns
Automated index synchronization and entry count updates
Flat-file reconstruction for website data consistency

Casos de Uso

Removing erroneous or out-of-scope entries from the dataset
Resolving duplicate dictionary entries after a merge
Cleaning up legacy records during dictionary structural updates

Acerca de

Características Principales

Candidate list management for potential future re-entry
0 GitHub stars
Pre-deletion validation checklists for data safety
Comprehensive cross-reference searching using grep patterns
Automated index synchronization and entry count updates
Flat-file reconstruction for website data consistency

Casos de Uso

Removing erroneous or out-of-scope entries from the dataset
Resolving duplicate dictionary entries after a merge
Cleaning up legacy records during dictionary structural updates