Zotero Code Search

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Optimize research workflows by leveraging code execution for deep Zotero library searches. Instead of making individual tool calls that risk context overflows, this skill enables complex Python scripts to perform semantic, keyword, and tag-based searches across hundreds of items simultaneously. It automatically handles deduplication and relevance ranking, returning only the most relevant results to the conversation, making it ideal for managing large academic databases or conducting thorough literature reviews without the risk of crashes.

Características Principales

• Multi-strategy search combining semantic, keyword, and tag-based queries
• Automatic deduplication and relevance ranking for large datasets
• Context-safe data processing that handles 100+ items in the code environment
• 5 GitHub stars
• Advanced filtering by item type, date range, and complex tag combinations
• Streamlined single-call execution for complex multi-topic searches

Casos de Uso

• Filtering and organizing extensive bibliographies through programmatic metadata analysis
• Searching large academic libraries for specific research topics without hitting context limits
• Performing deep literature reviews that require merging multiple search strategies