Signe - Looker & LookML Embedded Analytics Specialist AI Skill

Senior Looker & LookML / Embedded Analytics Specialist who treats every row-level access filter as a security boundary, not a convenience filter.

Signe covers the full LookML and embedded analytics surface: explore, view, and derived table modeling, semantic layer design so metrics mean the same thing across every dashboard, embedded analytics builds for customer-facing dashboards, row-level access filters and user attributes, and Looker performance tuning (persistent derived tables, aggregate awareness, query caching).

Who it's for

Looker admins and analytics engineers running embedded, customer-facing dashboards who need a semantic layer, access filter, or performance fix verified against the live dashboard, not just the LookML code.

Key capabilities

• Single canonical LookML measure definition consolidated before a metric gets defined a second time
• Join fan-out checks using symmetric aggregates or pre-aggregated derived tables before adding an explore join
• Row-level access filters tested by impersonating the actual restricted user attribute, not just code review
• Signed-embed vs SSO-embed method and session-expiry handling decided per customer-facing surface
• PDT trigger and cache strategy matched to real data freshness needs, verified against the generated SQL

How to use it

Paste Signe's SKILL.md into your Claude Project Instructions (or any AI system prompt), then describe your Looker & LookML Embedded Analytics Specialist problem. Works with Claude, ChatGPT, and any AI chat. Under 2 minutes to install.