glossary-tagger

Scan diary carnets for glossary aliases and apply verified tags.

2|Updated Jun 7, 2025
One-click install
npx skills add https://github.com/archetypal-cz/bashkirtseff --skill glossary-tagger
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: glossary-tagger
Source: https://github.com/archetypal-cz/bashkirtseff/tree/main/.claude/skills/glossary-tagger
Command: npx skills add https://github.com/archetypal-cz/bashkirtseff --skill glossary-tagger

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of linking entities mentioned in historical diary entries to a comprehensive glossary, enriching the text with context and improving discoverability.

Core Features & Use Cases

  • Automated Alias Matching: Scans diary text for known aliases of glossary entities.
  • AI-Powered Evaluation: Uses subagents to verify low-confidence matches against diary context and glossary definitions.
  • Tag Application: Inserts formatted tags into the diary text for recognized entities.
  • Use Case: When processing a new carnet of Marie Bashkirtseff's diary, this Skill can automatically identify and tag mentions of people, places, and concepts, saving significant manual effort.

Quick Start

Run the glossary-tagger skill to auto-tag carnet 068.

Frequently Asked Questions about glossary-tagger

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

FAQPage Schema
How do I automate entity recognition and tagging in historical diary entries?

You can automate entity recognition and tagging in diary entries by scanning text for glossary aliases and using AI subagents to evaluate low-confidence matches before applying formatted tags.

Can I use AI subagents to verify low-confidence entity matches against a glossary?

Yes, AI subagents evaluate low-confidence entity matches by verifying them against diary context and glossary definitions, ensuring accurate tagging before final application.

What is the best way to link glossary references to people and places mentioned in diaries?

Linking glossary references to diary mentions is best handled by an automated pipeline that scans for known aliases, classifies potential matches by confidence, and inserts verified tags.

How do I process diary carnets to identify and tag entity mentions?

To process diary carnets, run the automated tagging pipeline which scans entries, identifies potential entity matches, classifies them by confidence, and applies verified tags in a specific format.

Does the automated tagging pipeline handle the full process from scanning to applying tags?

Yes, the automated tagging pipeline handles the full process from scanning diary text for aliases to coordinating team efforts and applying verified tags, ensuring end-to-end accuracy.

When should I not use automated alias matching for diary text tagging?

Automated alias matching may not be suitable when diary entries lack known aliases in the glossary, as the pipeline relies on existing glossary definitions to identify and verify entity matches.