Task Search

About

Streamline the implementation of search features in task-oriented applications with a suite of patterns for keyword matching, TinyDB integration, and multi-word logic. This skill provides a structured approach to building search services that handle complex filtering by tags, priority, and status while incorporating relevance ranking to ensure users find the most pertinent information quickly. It is particularly useful for developers building CLI or lightweight desktop applications that require efficient data retrieval without the overhead of a full-scale search engine.

Key Features

• Relevance-based ranking for search results
• Integrated TinyDB query implementation
• Case-insensitive and normalized keyword matching
• 0 GitHub stars
• Multi-word search logic with AND/OR support
• Advanced tag and metadata filtering

Use Cases

• Building a search engine for a CLI todo application
• Implementing complex filtering for task databases
• Adding relevance ranking to data retrieval systems