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'%20stop-opacity%3D'0.16'%2F%3E%3Cstop%20offset%3D'1'%20stop-color%3D'rgb(200%2C90%2C60)'%20stop-opacity%3D'0.03'%2F%3E%3C%2FlinearGradient%3E%3C%2Fdefs%3E%3Crect%20width%3D'320'%20height%3D'200'%20fill%3D'url(%23g)'%2F%3E%3Ccircle%20cx%3D'250'%20cy%3D'56'%20r%3D'92'%20fill%3D'rgb(200%2C90%2C60)'%20fill-opacity%3D'0.06'%2F%3E%3Ccircle%20cx%3D'64'%20cy%3D'172'%20r%3D'58'%20fill%3D'rgb(200%2C90%2C60)'%20fill-opacity%3D'0.05'%2F%3E%3C%2Fsvg%3E)
Skill for discovering and inspecting dimensions in the Lightdash semantic layer.
How this skill is triggered — by the user, by Claude, or both
Slash command
/lightdash-development:read-dimensionsThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Skill for discovering and inspecting dimensions in the Lightdash semantic layer.
Skill for discovering and inspecting dimensions in the Lightdash semantic layer.
Enables identification and inspection of existing dimensions for modeling and analysis purposes.
Wraps the following MCP tools from the lightdash server:
ldt__list_dimensionslist_dimensions to find available dimensions for a specific explore.read-dimensions to understand current modeling before proposing changes.npx claudepluginhub yu-iskw/dbt-heroes --plugin lightdash-developmentAnalyzes CJA dimensions for cardinality, distribution, trends, anomalies, data quality, and forecasting. Produces interactive HTML dashboards or markdown reports.
Explains LookML field types (Dimension, Measure, Filter, Parameter, Dimension Group) and how the `sql` parameter behaves differently for each. Helps choose the right field type for data modeling.
Guides querying, exploring, and analyzing existing data in a Pigment workspace. Covers metric discovery, dimension breakdowns, filtering, and multi-step analysis.