Logseq DB Knowledge

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Provides comprehensive guidance on working with Logseq's database-based data model, covering nodes, typed properties, classes, and advanced Datalog queries.

This skill equips Claude with the specific expertise required to navigate Logseq DB graphs, which represent a significant shift from the traditional file-based markdown version. It provides detailed documentation on the fundamental node structure, property systems, and the new tag-based class hierarchy, often referred to as supertags. By bridging the gap between old file-based logic and the new database-driven architecture, it ensures accurate implementation of tasks, property configurations, and complex Datalog queries while avoiding common misconceptions regarding task markers and tag matching syntax.

Características Principales

01Documents the database-specific task management system using the Status property instead of markers
02Identifies critical differences between built-in and custom tags for accurate query matching
03Explains the new tag system for creating classes and supertags with property inheritance
04Provides specific Datalog query patterns and syntax requirements unique to Logseq DB
05Details the typed property system including Number, Date, and Node types for structured data
066 GitHub stars

Casos de Uso

01Setting up structured data schemas using classes and typed properties for knowledge management
02Building advanced Datalog queries to filter and visualize data within a Logseq database graph
03Transitioning automation workflows from file-based Logseq to the database-driven model