skills.rest
FrancisVarga
FrancisVargaCOMMUNITY
Explore all skills by this author →
GitHub

OpenSearch Queries

Provide OpenSearch Query DSL patterns and aggregation examples for data analysis.

Updated Feb 13, 2026
Search Tags:#analytics#aggregation#query#data exploration#dsl#opensearch
One-click install
npx skills add https://github.com/FrancisVarga/stupid-db --skill opensearch-queries
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: OpenSearch Queries
Source: https://github.com/FrancisVarga/stupid-db/tree/main/packages/stupid-claude-agent/.claude/skills/opensearch-queries
Command: npx skills add https://github.com/FrancisVarga/stupid-db --skill opensearch-queries

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the process of querying and analyzing data stored in OpenSearch, enabling users to explore event patterns, identify anomalies, and understand system behavior without needing to be OpenSearch experts.

Core Features & Use Cases

  • Query DSL: Provides pre-built query patterns for common OpenSearch use cases.
  • Aggregation Tools: Leverages aggregation queries to summarize and group data effectively.
  • Schema Exploration: Offers tools to understand the structure of your OpenSearch data.
  • Use Case: Analyze user activity by counting events by type, filtering by time range, or identifying potential fraud through device sharing patterns.

Quick Start

Use the OpenSearch Queries skill to count events by type using the provided common query pattern.

Frequently Asked Questions about OpenSearch Queries

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write OpenSearch Query DSL patterns for data exploration?▼

OpenSearch Query DSL patterns for data exploration are provided as pre-built templates to count events, filter by time ranges, and track member activity without requiring deep query language expertise.

What is the best way to count events by type in OpenSearch?▼

Counting events by type in OpenSearch is best achieved using pre-defined aggregation query examples that summarize and group data, enabling efficient retrieval and pattern identification within indices.

Can I detect anomalies like device sharing patterns using OpenSearch aggregations?▼

Anomaly detection such as identifying potential fraud through device sharing patterns is supported by leveraging specific aggregation queries to analyze user activity and identify irregular system behavior.

Do I need to be an OpenSearch expert to filter data by time ranges?▼

Filtering data by time ranges does not require OpenSearch expertise, as pre-defined query DSL patterns simplify the process of time-based filtering and event tracking for users analyzing system behavior.

How does schema exploration work for understanding OpenSearch index structure?▼

Schema exploration for OpenSearch indices works by offering tools that help users understand the structure of their data, facilitating efficient data retrieval and pattern identification without manual inspection.

Related Skills

Explore More Data & Analytics Skills→
RepairYourTechRepairYourTech
6

elasticsearch

Design Elasticsearch and OpenSearch index mappings, queries, and indexing patterns.

Community
Advanced
Wesley1600Wesley1600

data-analysis

Analyze CSV, JSON, and Parquet datasets with exploratory analysis and visualizations.

Community
Advanced
gagan114662gagan114662

mongodb

Optimize MongoDB queries and indexes using explain("executionStats").

Community
Advanced
Mohamed-ElkahefMohamed-Elkahef

dashboard-creation

Build interactive analytics dashboards with Chart.js for business metrics and KPIs.

Community
Advanced