This validates PromQL queries with a structured workflow that checks syntax, detects anti-patterns like using rate() on gauges or missing label filters on high-cardinality queries, and explains what your query actually does in plain English. The interactive planning is smart: it stops after initial validation to ask clarifying questions about your monitoring goals before suggesting optimizations, so you don't get generic advice that misses your intent. It cites specific lines from included examples when recommending fixes, which is more useful than vague best practice reminders. If you write a lot of Prometheus queries or review alerting rules, the semantic validation catches mistakes that are syntactically valid but operationally wrong.
npx skills add https://github.com/akin-ozer/cc-devops-skills --skill promql-validator