research-lightdash-api

name	research-lightdash-api
description	Research and investigate Lightdash API endpoints to understand request/response schemas and behavior.

Research Lightdash API

Description

This skill is used to thoroughly research and investigate a Lightdash API endpoint. It involves researching official documentation and performing live verification against a running Lightdash instance to confirm the actual JSON schema, including request parameters and response bodies.

Input

The user should provide:

1. API Endpoint: (e.g., /api/v1/projects/:projectUuid/spaces)
2. HTTP Method: (GET, POST, PUT, DELETE, PATCH)
3. Documentation URL: (Optional) Link to the official Lightdash API docs.

Workflow

1. Documentation Research

• Search: Use web_search or WebFetch to find the endpoint details in the Lightdash API Docs.
• Analysis:
  • Identify required and optional request parameters (path, query, body).
  • Note the expected response structure.
  • Check if it uses the standard API Response Envelope.

2. Live Schema Verification

If you have access to a Lightdash instance and an API key:

• Environment Setup:

  • Check for LIGHTDASH_API_KEY and LIGHTDASH_URL (defaults to https://app.lightdash.cloud) in the environment or .env file.
  • If missing, inform the user: "To perform live verification, please provide LIGHTDASH_API_KEY and LIGHTDASH_URL."

• Execution:

  • Use curl to fetch the live response. This is the preferred method.

    # Example for GET request
    curl -X GET "${LIGHTDASH_URL}/api/v1/your/endpoint" \
        -H "Authorization: ApiKey ${LIGHTDASH_API_KEY}" \
        -H "Content-Type: application/json"
    

  • For POST/PUT requests with a body:

    curl -X POST "${LIGHTDASH_URL}/api/v1/your/endpoint" \
        -H "Authorization: ApiKey ${LIGHTDASH_API_KEY}" \
        -H "Content-Type: application/json" \
        -d '{"key": "value"}'
    

  • Alternatively, use the Schema Verification Script if a Go-based execution is preferred:

    LIGHTDASH_API_KEY=your_key LIGHTDASH_URL=https://app.lightdash.cloud go run .claude/skills/research-lightdash-api/assets/verify_schema.go /api/v1/your/endpoint
    

• Discrepancy Analysis:

  • Compare the live JSON response with the documentation.
  • Document any undocumented fields, differences in data types, or unexpected behaviors.
  • For POST/PUT/PATCH requests, verify if the request body schema matches the documentation.

3. Response Analysis

• Envelope Check: Verify if the response is wrapped in the standard { "status": "ok", "results": ... } envelope.
• Model Mapping: Draft the Go struct definitions (models) based on the verified schema, ensuring proper types (e.g., UUID strings, timestamps, nullable fields).

Reference

• Lightdash API Documentation
• API Response Envelope

Assets

• Schema Verification Script