Can it help with custom Datalog rules?

Yes, it provides guidance on using built-in rules like property, page-ref, and between, as well as complex logic like OR-JOIN and NOT-JOIN.

How does it handle date-based filtering?

It supports both absolute dates and relative inputs like :today, :yesterday, or relative offsets like :-7d (7 days ago) for dynamic query results.

Does this skill support both simple and advanced queries?

Yes, it supports LogSeq's simple query syntax for basic filtering and advanced Datalog queries for direct access to the underlying database.

Does the skill understand LogSeq's database schema?

Yes, it includes detailed documentation on block, page, and file attributes, including properties, namespaces, and timestamps.

Can I use this skill to find specific task markers?

Absolutely. It can generate queries to filter blocks by task status like TODO, DOING, NOW, LATER, and priority levels A, B, or C.

LogSeq Query Assistant

Name: LogSeq Query Assistant
Author: jluo41

byjluo41

0•

Productivity & Workflow

Generates and optimizes LogSeq simple queries and advanced Datalog queries for complex graph data retrieval and task management.

The LogSeq Query Assistant is a specialized skill designed to help users master the LogSeq query system. It provides comprehensive support for constructing both simple boolean-based queries and advanced Datalog (Datascript) queries, allowing for sophisticated filtering, searching, and aggregation of blocks and pages. Whether you are building a dynamic dashboard for task management, extracting specific metadata from a knowledge graph, or performing deep database analysis using the LogSeq schema, this skill provides the precise syntax, schema attributes, and logic patterns required to interact with LogSeq's internal data structure effectively.

Key Features

01Built-in rule integration for properties, namespaces, and task markers

02Comprehensive database schema support for blocks, pages, and files

030 GitHub stars

04Advanced Datalog query construction with :find, :where, and :in clauses

05Simple query generation using boolean operators and built-in filters

06Relative date and timestamp calculation for dynamic views

Use Cases

01Filtering and aggregating notes based on custom block or page-level properties

02Creating automated task dashboards for project management and overdue items

03Developing advanced database views using complex Datalog logic and Hiccup rendering

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jluo41/logseq-skills logseq-queries

For use in Claude.ai and ChatGPT

Key Features

01Built-in rule integration for properties, namespaces, and task markers

02Comprehensive database schema support for blocks, pages, and files

030 GitHub stars

04Advanced Datalog query construction with :find, :where, and :in clauses

05Simple query generation using boolean operators and built-in filters

06Relative date and timestamp calculation for dynamic views

Use Cases

01Filtering and aggregating notes based on custom block or page-level properties

02Creating automated task dashboards for project management and overdue items

03Developing advanced database views using complex Datalog logic and Hiccup rendering