Filters and analyzes Loki logs using LogQL queries with parsers and aggregations.
npx skills add https://github.com/tylertitsworth/skills --skill logql
Please help me install this Agent Skill. Skill: logql Source: https://github.com/tylertitsworth/skills/tree/main/logql Command: npx skills add https://github.com/tylertitsworth/skills --skill logql
Filter and analyze logs from Loki using LogQL queries to quickly identify errors, trends, and anomalies across distributed systems.
Run a sample LogQL query against your Loki deployment to retrieve the latest error logs.
High-intent search queries and answers about installing and using this skill.
To query Loki logs, use LogQL to combine stream selectors, line filters, and parsers. This targets precise namespaces or pods, enabling you to quickly identify errors and anomalies across distributed systems.
The best way to extract structured data from Loki log lines is using LogQL parsers. You can apply json, logfmt, pattern, regexp, or unpack parsers to isolate specific fields for deeper aggregation and analysis.
Yes, you can use LogQL for dashboards and alerting in Grafana Loki. It supports time-based aggregations and metric-like queries, allowing you to build visual dashboards and configure alerts for distributed systems.
Stream selectors filter logs in Loki by matching exact label values such as namespace, pod, or job. They target specific log streams before applying line filters and parsers for precise log analysis.
Yes, LogQL supports regular expressions for log parsing through its regexp parser. Alongside json, logfmt, pattern, and unpack parsers, it extracts structured data from complex, unstructured log lines.
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