If you're building or maintaining LookML models, this skill knows the deep stuff. It covers view and model definitions, explores with proper join relationships, PDTs for performance optimization, and advanced dimension and measure patterns like conditional aggregations, percentiles, and running totals. You get practical patterns for datagroups, aggregate awareness, access filters, and incremental PDT strategies. The examples are detailed enough to copy and adapt, which matters when you're staring at a broken explore at 4pm. It won't teach you Looker from scratch, but if you already know the basics and need to build production-grade semantic layers or debug why your PDT isn't materializing correctly, it's genuinely helpful.
npx skills add https://github.com/personamanagmentlayer/pcl --skill looker-expert