logseq-expert

Add a new block to a Logseq page

Analyze a Logseq MD graph for DB migration compatibility and potential issues

Create a new page in Logseq with optional properties and content

Define a new class (tag) for Logseq DB graphs with inherited properties

Define a new typed property for Logseq DB graphs with proper schema configuration

Explain Logseq DB schema concepts, terminology, and architecture in detail

Get a page from Logseq by title with its content and blocks

Get TODO/DOING/DONE tasks from your Logseq graph

Initialize Logseq integration environment with interactive setup wizard

Build a Datalog query for Logseq DB graphs based on natural language description

Search for content across your Logseq graph

Check Logseq connection status and environment configuration

Sync conversation notes to a Logseq page with automatic timestamp

Get today's journal page from Logseq

Expert agent for Logseq's database-based architecture. Use when working with Logseq DB schema, building Logseq plugins, writing Datalog queries, understanding the Datascript data model, migrating from MD to DB format, or interacting with Logseq via HTTP API. Provides deep knowledge of built-in classes, properties, the node/block/page hierarchy, schema validation, and CRUD operations.

Expert guidance for building Logseq plugins compatible with the new DB architecture. Auto-invokes when users want to create Logseq plugins, work with the Logseq Plugin API, extend Logseq functionality, or need help with plugin development for DB-based graphs. Covers plugin structure, API usage, and DB-specific considerations.

Manages connections to Logseq graphs via HTTP API, CLI, or MCP Server. Auto-invokes when users mention connecting to Logseq, API tokens, graph paths, connection issues, or backend configuration. Handles backend detection, environment setup, and connectivity troubleshooting.

Expert guidance for migrating Logseq graphs from Markdown (MD) format to the new Database (DB) format. Auto-invokes when users ask about MD to DB migration, converting graphs, import options, data transformation, or compatibility between Logseq versions. Covers migration strategies, common issues, and best practices.

Expert in building Datalog queries for Logseq DB graphs. Auto-invokes when users need help writing Logseq queries, understanding Datalog syntax, optimizing query performance, or working with the Datascript query engine. Covers advanced query patterns, pull syntax, aggregations, and DB-specific query techniques.

Expert in reading data from Logseq DB graphs via HTTP API or CLI. Auto-invokes when users want to fetch pages, blocks, or properties from Logseq, execute Datalog queries against their graph, search content, or retrieve backlinks and relationships. Provides the logseq-client library for operations.

Deep expertise in Logseq's Datascript database schema. Auto-invokes when users ask about Logseq DB schema, Datascript attributes, built-in classes, property types, entity relationships, schema validation, or the node/block/page data model. Provides authoritative knowledge of the DB graph architecture.

Expert in writing data to Logseq DB graphs via HTTP API. Auto-invokes when users want to create pages, add blocks, update content, set properties, or sync conversation notes to their Logseq graph. Provides CRUD operations with safety guidelines.