Multi-dimensional categorization scheme to enhance the efficiency of cue word retrieval
For the management needs of complex cueing thesaurus:
- basic program::
- Hierarchical labeling by function: primary labels (e.g., "Content Generation"), secondary labels (e.g., "Science and Technology - 500 words")
- Use smart naming rules: "[Scene]-[Word Count]-[Emotional Tendency]" nomenclature (Example: "Blog-Science-800 Words-Easy")
- Prioritize high-frequency cues
- Advanced Programs::
- Use of emoji prefixes to enhance visual recognition (📝Writing category, 🔍Analysis category)
- Establishment of a project-based folder system (categorized by "2024Q3 marketing plan", etc.)
- Regularly use the export function to backup JSON files for offline management
Tip: When searching, you can use spaces to separate multiple keywords (e.g., "article technology"), and the system will automatically match entries that contain any keywords.
This answer comes from the articleQuick Prompt: Browser Extension for Quickly Managing and Using PromptsThe
May not be reproduced without permission:AI productivity tools " How to optimize the efficiency of managing long cue words to avoid finding difficulties?
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