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AI coding agents can help you build and maintain your Lightdash semantic layer more efficiently. By installing Lightdash skills, you enable these agents to understand your semantic layer structure and use the latest Lightdash features correctly.

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What are skills?

Skills are context files that teach AI coding agents about Lightdash’s YAML configuration, metrics, dimensions, and best practices. They’re powered by agentskills.io and provide agents with the knowledge they need to:
  • Generate correct YAML configurations for metrics and dimensions
  • Follow Lightdash naming conventions and best practices
  • Understand table relationships and joins
  • Use the latest Lightdash features and syntax

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Supported tools

Lightdash skills work with popular AI coding assistants:
  • Cursor - AI-powered code editor
  • Claude Code - Anthropic’s coding assistant
  • Codex - OpenAI’s code generation model
  • Antigravity - AI development platform
  • Other tools that support the skills format

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Installing skills

Use the Lightdash CLI to install skills for your preferred AI coding agent.

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Prerequisites

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Install for your project

Install skills at the project level (recommended for team collaboration): 
# Install for Claude (default)
lightdash install-skills

# Install for Cursor
lightdash install-skills --agent cursor

# Install for Codex
lightdash install-skills --agent codex
This creates a skills directory at your git root:
  • .claude/skills/ for Claude
  • .cursor/skills/ for Cursor
  • .codex/skills/ for Codex

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Install globally

Install skills globally to use them across all your projects: 
# Install globally for Claude
lightdash install-skills --global

# Install globally for Cursor
lightdash install-skills --agent cursor --global
Global skills are installed to your home directory (e.g., ~/.claude/skills/).

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Install to a custom path

Specify a custom installation path: 
lightdash install-skills --path ./my-project

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Using skills with your agent

Once installed, your AI coding agent automatically picks up the Lightdash skills. You can then ask your agent to:
  • Create new metrics and dimensions
  • Generate YAML configurations for dbt models
  • Fix validation errors in your semantic layer
  • Refactor existing metric definitions
  • Add joins between tables

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Example prompts

Create a revenue metric that sums the amount field from the orders table

Add a customer_segment dimension based on the lifetime_value field

Generate the Lightdash YAML configuration for my users dbt model
The agent uses the installed skills to generate correct, up-to-date Lightdash configurations.

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Keeping skills updated

Re-run the install command to get the latest skills: 
lightdash install-skills
This downloads the newest skill definitions from the Lightdash repository, ensuring your agent knows about the latest features and best practices.