Does this skill support the new Logseq DB architecture?

Yes, it specifically focuses on DB-version compatibility, including structured properties and entity-based Datalog queries.

What APIs are covered by this skill?

It covers all major Logseq namespaces including logseq.Editor, logseq.DB, logseq.App, logseq.UI, and logseq.Settings.

Can I use this to register custom slash commands?

Absolutely. The skill provides implementation patterns for registering slash commands and block context menu items.

Does it help with Datalog query syntax?

Yes, it provides templates and best practices for both basic and parameterized Datalog queries within the Logseq environment.

Logseq Plugin Architect

Name: Logseq Plugin Architect
Author: C0ntr0lledCha0s

byC0ntr0lledCha0s

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Content Management

Guides the development of high-performance Logseq plugins with specialized support for the modern database-based architecture.

About

The Logseq Plugin Architect skill equips Claude with deep expertise in the Logseq Plugin SDK, enabling developers to build, debug, and optimize extensions. It provides specific guidance on navigating the transition from Markdown-based to DB-based graphs, ensuring plugins remain compatible with the latest Logseq versions. From constructing complex Datalog queries to defining plugin settings schemas and UI components, this skill streamlines the entire development lifecycle for the Logseq ecosystem.

Key Features

Expert implementation of logseq.Editor, logseq.DB, and logseq.App namespaces
Advanced Datalog and Datascript query optimization for graph-based data
1 GitHub stars
Transition guidance for migrating plugins to the new DB-driven architecture
Standardized patterns for slash commands, context menus, and UI components
Automated manifest (package.json) and settings schema generation

Use Cases

Building modern Logseq plugins that support the new unified node model
Implementing custom block properties and structured data management
Creating specialized UI extensions and workflow automations within Logseq

About

Key Features

Expert implementation of logseq.Editor, logseq.DB, and logseq.App namespaces
Advanced Datalog and Datascript query optimization for graph-based data
1 GitHub stars
Transition guidance for migrating plugins to the new DB-driven architecture
Standardized patterns for slash commands, context menus, and UI components
Automated manifest (package.json) and settings schema generation

Use Cases

Building modern Logseq plugins that support the new unified node model
Implementing custom block properties and structured data management
Creating specialized UI extensions and workflow automations within Logseq