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elasticsearch-analysis

Official

Fast Elasticsearch log analysis.

Software Engineering#elasticsearch#log-analysis#incident-response#opensearch#Query DSL#lucene
Authorincidentfox
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Elasticsearch/OpenSearch log analysis is needed to quickly identify root causes of incidents by searching, aggregating, and discovering patterns across large log streams.

Core Features & Use Cases

  • Lucene query syntax support for efficient log exploration
  • Elasticsearch JSON Query DSL for precise aggregations and boolean queries
  • Use Case: Investigate a spike in errors across services by identifying top sources and patterns

Quick Start

Use the included Python scripts to perform a fast analysis:

  • Run: python .claude/skills/observability-elasticsearch/scripts/get_statistics.py --time-range 60
  • Run: python .claude/skills/observability-elasticsearch/scripts/sample_logs.py --strategy errors_only --time-range 60

Dependency Matrix

Required Modules

httpx

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: elasticsearch-analysis
Download link: https://github.com/incidentfox/incidentfox/archive/main.zip#elasticsearch-analysis

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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