What version of Loki does this skill support?

It supports standard LogQL features as well as advanced Loki 3.x capabilities, including structured metadata, bloom filters, and accelerated query patterns.

How does the interactive planning workflow work?

The skill first asks about your primary goal and log structure, presents a plain-English plan for the query logic, and only generates the final LogQL after you confirm the strategy.

Does it support complex log formats like nested JSON?

Absolutely. The generator can handle nested JSON fields, array access, logfmt, and custom pattern extraction using regex or the newer Loki 3.0 pattern operators.

Can it help me fix slow-running queries?

Yes, the skill is programmed to prioritize high-performance filtering techniques, such as specific stream selectors and placing line filters before heavy parsing operations.

LogQL Query Generator

Name: LogQL Query Generator
Author: akin-ozer

byakin-ozer

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Analytics & Monitoring

Generates optimized, production-ready Grafana Loki queries for log analysis, alerting, and observability dashboards.

The LogQL Query Generator is a specialized skill for Claude Code designed to streamline the creation of complex LogQL queries through a structured, interactive workflow. It guides users from initial requirements gathering to final query execution, ensuring that stream selectors, line filters, and parsers are applied in the most performant order. Whether you are building real-time Grafana dashboards, configuring alerting rules, or performing deep-dive troubleshooting, this skill leverages battle-tested patterns and Loki 3.x features to produce accurate, high-efficiency queries that minimize resource consumption and maximize visibility.

Key Features

01Interactive multi-stage query planning and validation

02Support for JSON, logfmt, pattern, and regex parsers

03Optimization for Loki 3.x features like structured metadata and bloom filters

04Incremental step-by-step query building for debugging and learning

05Automated metric generation for error rates, latency percentiles, and throughput

0666 GitHub stars

Use Cases

01Designing performance-optimized Grafana observability dashboards

02Rapidly troubleshooting production incidents via ad-hoc log analysis

03Creating complex alerting rules based on log patterns and error thresholds

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add akin-ozer/cc-devops-skills logql-generator

For use in Claude.ai and ChatGPT

Download Skill