Filters LogSeq blocks and pages using simple and advanced Datalog queries.
npx skills add https://github.com/jluo41/Tools --skill logseq-queries
Please help me install this Agent Skill. Skill: logseq-queries Source: https://github.com/jluo41/Tools/tree/main/plugins/logseq/skills/logseq-queries Command: npx skills add https://github.com/jluo41/Tools --skill logseq-queries
LogSeq users often need to filter, search, and aggregate blocks and pages across large graphs. This Skill provides both simple queries and advanced Datalog-style queries to retrieve just the content you need, improving searchability and productivity.
Ask me to generate a LogSeq query to filter blocks and pages in your graph.
High-intent search queries and answers about installing and using this skill.
You can filter Logseq blocks and pages by tags or markers using simple query syntax to quickly narrow down content based on text, tags, or task markers. This reveals relevant blocks and pages across your Logseq graph.
Yes, you can use advanced Datalog queries for full database access in Logseq. This supports complex data relationships across Logseq graphs, enabling you to build dynamic views and aggregate blocks beyond simple text filtering.
The best way to track tasks and discover related notes in a Logseq graph is by running queries to filter content. You can use simple query syntax or advanced Datascript queries to retrieve the exact blocks and pages needed.
No, you do not need to know Datascript to run simple block searches in Logseq. You can use simple query syntax for fast filtering of blocks and pages by markers, tags, or text without writing full Datalog queries.
Advanced queries leverage Datascript for full database access and complex data relationships in Logseq knowledge management. Unlike standard search, they allow you to build dynamic views, aggregate blocks, and filter tasks across large graphs programmatically.
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