What is Datascript in the context of Logseq?

Datascript is the in-memory database used by Logseq that follows an Entity-Attribute-Value (EAV) model, enabling powerful graph-based data retrieval and storage.

What is the unified node concept in Logseq?

In the Logseq database, nodes represent a unified concept where pages and blocks are treated similarly, with pages often being defined by unique combinations of tags.

How does this skill help with Logseq plugin development?

It provides precise attribute names, property types, and class structures necessary for writing accurate database transactions and Datalog queries in your plugin code.

Can this skill help me create custom properties in Logseq?

Yes, it provides the exact configuration keys for defining user properties, including cardinality, types, and closed-value restrictions.

Logseq Database Schema Expert

Name: Logseq Database Schema Expert
Author: C0ntr0lledCha0s

byC0ntr0lledCha0s

•

Database Management

Explains Logseq's Datascript database architecture, including entity relationships, built-in classes, and property type systems.

The Logseq Database Schema Expert skill provides deep technical insights into the internal data structures of Logseq. It offers authoritative guidance on the Datascript EAV (Entity-Attribute-Value) model, property configuration, and the unified node/block/page architecture. This skill is essential for developers building Logseq plugins or advanced users who need to understand how data is queried, validated via Malli schemas, and stored within the graph database. It helps ensure architectural consistency when creating custom classes or managing complex data migrations.

Key Features

01Clear explanations of the unified node model and page uniqueness

02Insight into Malli validation flows and transaction integrity

03Expertise in Datascript EAV data modeling and Datalog queries

04Detailed knowledge of Logseq's built-in class hierarchies

05Guidance on property type systems and attribute configuration

061 GitHub stars

Use Cases

01Troubleshooting data migrations and schema versioning issues

02Designing complex custom property schemas for knowledge management workflows

03Developing custom Logseq plugins that require direct database interaction

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add c0ntr0lledcha0s/claude-code-plugin-automations understanding-db-schema

For use in Claude.ai and ChatGPT

Download Skill

Key Features

01Clear explanations of the unified node model and page uniqueness

02Insight into Malli validation flows and transaction integrity

03Expertise in Datascript EAV data modeling and Datalog queries

04Detailed knowledge of Logseq's built-in class hierarchies

05Guidance on property type systems and attribute configuration

061 GitHub stars

Use Cases

01Troubleshooting data migrations and schema versioning issues

02Designing complex custom property schemas for knowledge management workflows

03Developing custom Logseq plugins that require direct database interaction

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add c0ntr0lledcha0s/claude-code-plugin-automations understanding-db-schema

For use in Claude.ai and ChatGPT

Download Skill