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From lightdash-analysis
Skill for understanding the Lightdash semantic layer, including explores, metrics, dimensions, and query compilation.
npx claudepluginhub yu-iskw/dbt-heroes --plugin lightdash-analysisHow this skill is triggered — by the user, by Claude, or both
Slash command
/lightdash-analysis:explore-dataThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Skill for understanding the Lightdash semantic layer, including explores, metrics, dimensions, and query compilation.
Answers business questions on analytics, metrics, KPIs by generating/executing SQL via dbt Semantic Layer, compiled SQL mods, or model analysis against data warehouse.
Automates Looker dashboard creation: add elements, filters, and configure queries. Useful for data discovery and BI workflows.
Share bugs, ideas, or general feedback.
Skill for understanding the Lightdash semantic layer, including explores, metrics, dimensions, and query compilation.
Enables data exploration and verification of the semantic layer logic.
Wraps the following MCP tools from the lightdash server:
ldt__list_exploresldt__get_exploreldt__list_dimensionsldt__list_metricsldt__get_field_lineageldt__compile_querylist_explores, get_explore, list_dimensions, list_metrics, get_field_lineage, compile_query) are safe for read-only mode. compile_query only performs a dry-run compilation and does not execute data warehouse queries directly or mutate state.list_explores to see available tables/explores.get_explore to see the full list of dimensions and metrics for a specific explore.get_field_lineage to understand the upstream dependencies of a specific field.compile_query to verify that a metric query is valid before using it in a chart or report.exploreId and fieldId strings returned by the tools.list_metrics across the data catalog.