Generate, validate, and test MXQL queries with ADDROW sample data.
npx skills add https://github.com/kyupid/mxql-for-claude-code --skill mxql
Please help me install this Agent Skill. Skill: mxql Source: https://github.com/kyupid/mxql-for-claude-code/tree/main/mxql Command: npx skills add https://github.com/kyupid/mxql-for-claude-code --skill mxql
Working with MXQL (Metrics Query Language) can be complex and time-consuming, leading to syntax errors, inefficient queries, and a lack of confidence in results. This Skill automates the entire MXQL lifecycle, from initial query generation to in-depth analysis and robust testing, allowing you to focus on insights rather than syntax.
ADDROW data, enabling you to validate logic and results before deployment (e.g., "Generate a test version of my MXQL query with sample data").Use the mxql skill to generate an MXQL query for PostgreSQL active sessions, then validate it and generate a test version with sample data.
High-intent search queries and answers about installing and using this skill.
MXQL query generation guides you through conversational steps to create queries across 631 metric categories and 36+ product types—Database, APM, Infrastructure, Kubernetes, Cloud, and Container. Specify your metric need (e.g., CPU usage, active sessions) and receive a ready-to-use query tailored to your monitoring context.
Yes, MXQL validation automatically checks syntax errors, JSON structure, bracket balance, and semantic correctness, then identifies performance bottlenecks and provides optimization suggestions to improve query efficiency before deployment.
MXQL test data generation creates ready-to-use test queries with sample ADDROW data, allowing you to validate query logic and results in a safe environment before running against live metrics.
Yes, MXQL handles metrics spanning 631 categories across 36+ product types including Database, Application/APM, Infrastructure, Kubernetes, Cloud, Container, Real User Monitoring, and others, supporting comprehensive cross-platform monitoring workflows.
Comprehensive category discovery helps you quickly locate relevant metric categories, fields, and product types by searching for specific monitoring needs—for example, finding categories related to Kubernetes pod CPU usage or database performance metrics.
Yes, conversational query generation provides step-by-step guidance to construct MXQL queries iteratively, helping you navigate complexity and build optimized queries for metrics across any of the 631 supported categories.
nahisahoConfigure production monitoring, alerting, and incident response runbooks.
baphledDefine Golden Signals metrics and configure alerts for system monitoring.
camoneartDesign and deploy Grafana dashboards for real-time system and application metrics.
zero3041Construct monitoring dashboards for Grafana, SigNoz, and similar platforms.