What does the Elasticsearch skill for Claude Code do?

It provides specialized guidance and implementation patterns for Elasticsearch, helping users write better queries, design schemas, and manage clusters more effectively.

Does it support Elasticsearch aggregations?

Absolutely. The skill provides best practices and templates for building multi-level aggregations for data analysis and reporting.

Can this skill help with complex Query DSL?

Yes, it is specifically designed to assist in crafting and optimizing complex Elasticsearch Query DSL, including boolean queries, filters, and multi-match searches.

Is this skill useful for cluster performance tuning?

Yes, it includes guidance on cluster management, indexing strategies, and settings adjustments to improve overall performance and stability.

Elasticsearch Management & Search

Name: Elasticsearch Management & Search
Author: partme-ai

bypartme-ai

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数据库管理

Streamlines Elasticsearch development by providing expert guidance on indexing, complex query DSL, and cluster optimization.

关于

The Elasticsearch skill for Claude Code serves as a specialized technical companion for developers building and maintaining search-driven applications. It offers deep domain knowledge in designing efficient index mappings, crafting sophisticated search queries, and implementing complex aggregations for data analysis. Beyond simple queries, this skill assists with cluster management, performance tuning, and troubleshooting, ensuring that your search infrastructure is scalable, performant, and follows industry best practices for data consistency and retrieval speed.

主要功能

Expert Query DSL generation and optimization
Cluster health monitoring and management strategies
Advanced aggregation patterns for data analytics
37 GitHub stars
Comprehensive index mapping and schema design guidance
Performance tuning for high-scale search workloads

使用场景

Implementing high-performance full-text search in production applications
Designing scalable data models for log analysis and observability
Debugging and optimizing slow-running Elasticsearch queries or aggregations

关于

主要功能

Expert Query DSL generation and optimization
Cluster health monitoring and management strategies
Advanced aggregation patterns for data analytics
37 GitHub stars
Comprehensive index mapping and schema design guidance
Performance tuning for high-scale search workloads

使用场景

Implementing high-performance full-text search in production applications
Designing scalable data models for log analysis and observability
Debugging and optimizing slow-running Elasticsearch queries or aggregations