Optimize queries and data modeling for the @based/sdk/db package.
npx skills add https://github.com/atelier-saulx/based --skill using-based-db
Please help me install this Agent Skill. Skill: using-based-db Source: https://github.com/atelier-saulx/based/tree/main/packages/db Command: npx skills add https://github.com/atelier-saulx/based --skill using-based-db
This Skill addresses the complexity of efficiently using the @based/sdk/db package by providing clear guidelines on query optimization, data modeling, and leveraging the database's unique graph capabilities.
cardinality and text.Use the using-based-db skill to query for a user by their ID and include their friends' names.
High-intent search queries and answers about installing and using this skill.
To optimize graph database queries and avoid table scans, leverage direct ID lookups and use the .include() method to traverse graph adjacency lists. Efficient filter ordering and SIMD array operations further enhance query performance.
The best way to model data in a graph database is by using references, edges, and aliases. Proper schema definition requires managing edge properties, cardinality, and localized text to ensure scalable graph-based data structures.
Handle mutations with Tmp IDs by applying proper mutation handling patterns during data creation. Ensure data integrity by implementing database hooks that validate and manage operations within the graph database schema.
Yes, you can build high-performance social graph applications using adjacency list traversals. By structuring data with direct ID lookups and optimizing filter ordering, you ensure rapid data retrieval and efficient updates.
Table scans create performance limitations in graph databases by reading entire datasets inefficiently. Avoid this constraint by using graph adjacency lists via .include() and applying SIMD array operations for faster, targeted data retrieval.
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