List and inspect metric definitions and aggregation logic in Lightdash.
npx skills add https://github.com/yu-iskw/dbt-heros --skill read-metrics
Please help me install this Agent Skill. Skill: Read Metrics Source: https://github.com/yu-iskw/dbt-heros/tree/main/plugins/lightdash-development/skills/read-metrics Command: npx skills add https://github.com/yu-iskw/dbt-heros --skill read-metrics
This Skill helps users understand and identify existing metrics within a Lightdash project, facilitating informed data modeling and analysis.
Use the read-metrics skill to list all available metrics in the current project.
High-intent search queries and answers about installing and using this skill.
To list existing metrics in a Lightdash project, you need to query the Lightdash semantic layer using the list_metrics MCP tool to discover all available metric definitions and their aggregation logic.
To check if a metric exists in Lightdash before adding a new one, inspect the current project's metric definitions using the list_metrics MCP tool to review existing aggregation logic and avoid duplicate modeling.
The best way to inspect dbt metric definitions in a Lightdash semantic layer is to query the metric metadata to view the current aggregation logic and definition for consistent analysis and modeling.
Yes, you need access to the lightdash_tools__list_metrics MCP tool to discover and query metric metadata defined in the Lightdash semantic layer.
Yes, you can use this to understand metric aggregation logic for dbt modeling by inspecting existing metric definitions in the Lightdash semantic layer, ensuring consistent analysis and informed data modeling.
yu-iskwValidate local Lightdash YAML configurations against remote project content.
borgheiAutomate BI workflows by turning raw data into metrics and dashboards.
juandaniel190Answer natural language business questions by querying dbt data models.
AradotsoBuild a semantic context layer for AI agents querying data warehouses.
