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Tag Bootstrapper

Purpose​

Interactively create a controlled tag vocabulary for a research domain with AI. Recommended to run before your first Literature Analysis to establish a foundation for subsequent automatic tag regulation.

Use Cases​

  • Starting a new research direction and needing to establish a tag system
  • No controlled tag vocabulary yet exists in the current Zotero library
  • Wanting AI to help design a domain-specific tag classification

Input Constraints​

Constraint TypeDescription
Input Unitworkflow (no items need to be selected)
Trigger MethodRun from Dashboard

Execution Flow​

1. Start Interaction
   └── Converse with AI in Dashboard

2. Define Domain
   └── Describe your research field and areas of interest
       └── AI proposes a tag classification system

3. Iterative Refinement
   └── Review AI-suggested tags
       └── Adjust, add, remove, rename

4. Confirm and Write
   └── Write the final tag vocabulary to the Synthesis system

Interaction Details​

  • The workflow runs in interactive mode, conversing with AI in the Dashboard
  • You can adjust the direction at any point during the conversation

Estimated Duration​

ScenarioEstimated Time
Initial vocabulary creation3-8 minutes
Adding tags3-5 minutes

Model Recommendation​

🟢 A mid-capability model is sufficient; the strongest model is not needed.

Outputs​

After execution completes, the controlled tag vocabulary is written to the Synthesis system and can be viewed and managed on the Tags page of the Synthesis Workbench.

Parameters​

ParameterTypeDescriptionDefault
tag_note_languagestringTag note languagezh-CN

Available values: zh-CN, en-US, ja-JP, ko-KR, de-DE, fr-FR, es-ES, ru-RU. Custom input is also supported.

Dependencies​

  • Backend: Skill-Runner service
  • Backend Configuration: Configure a Skill-Runner type backend in Backend Manager
  • Skill: The tag-bootstrapper skill must be deployed on the Skill-Runner