How does it handle large datasets?

It provides patterns for efficient pagination using .skip() and .limit(), as well as cursor-based navigation for high-performance scrolling.

Does it support geographic data?

Yes, it covers geolocation query implementation, including proximity searches and area-based filtering.

Can I use this for complex data reporting?

Absolutely. The skill includes guidance on aggregation pipelines for grouping data and performing statistical calculations.

Does this skill require specific authentication to work?

Yes, CloudBase requires authentication (sign-in) before performing database operations, which this skill helps configure.

Is the initialization pattern compatible with modern bundlers?

The skill emphasizes synchronous initialization with @cloudbase/js-sdk, which is the recommended pattern for most modern web build tools.

CloudBase DB Web SDK Manager

Name: CloudBase DB Web SDK Manager
Author: Microck

byMicrock

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数据库管理

Integrates CloudBase document database capabilities into web applications for advanced CRUD, aggregation, and geolocation operations.

关于

This skill provides a standardized framework for implementing the CloudBase Document Database Web SDK within serverless applications. It guides developers through critical initialization patterns, authentication requirements, and complex NoSQL operations including multi-stage aggregation pipelines and geographic indexing. By using this skill, you can ensure your Claude-driven development follows CloudBase best practices for pagination, security rules configuration, and efficient data retrieval, significantly reducing boilerplate and errors in cloud-native web projects.

主要功能

Complex data analysis via aggregation pipelines
Synchronous SDK initialization and authentication workflows
Proximity-based geolocation search implementation
Scalable pagination strategies including skip/limit and cursors
Advanced document querying with chaining and relational operators
81 GitHub stars

使用场景

Implementing location-aware services like store finders or delivery tracking
Building data-heavy dashboards using cloud-side aggregation and grouping
Developing real-time serverless web applications with NoSQL backends

关于

主要功能

Complex data analysis via aggregation pipelines
Synchronous SDK initialization and authentication workflows
Proximity-based geolocation search implementation
Scalable pagination strategies including skip/limit and cursors
Advanced document querying with chaining and relational operators
81 GitHub stars

使用场景

Implementing location-aware services like store finders or delivery tracking
Building data-heavy dashboards using cloud-side aggregation and grouping
Developing real-time serverless web applications with NoSQL backends