bi-validation

What problem does it solve?

Manually verifying the configuration and data accuracy of BI dashboards, charts, and datasets after generation is time-consuming, error-prone, and often leads to publishing incorrect or broken business intelligence assets that mislead stakeholders and require costly rework.

Core Features & Use Cases

• Automated Config Validation: Inspects every chart's configuration (chart type, metrics, axes, dimensions, dataset wiring) against the intended design for dashboards, standalone charts, and associated datasets.
• Data Presence Verification: Calls supported data retrieval tools to confirm charts return valid data without backend errors, comparing numeric values against expected tolerances when available.
• Platform-Aware Validation: Adapts checks for different BI platforms (e.g., skips unsupported data retrieval on Grafana, enforces full validation on Superset) and provides clear, actionable remediation steps for any failed checks.
• Use Case: After a gen_dashboard run generates a set of sales performance dashboards, this skill automatically validates every chart's configuration and data, blocking rollout if any issues are found and providing exact steps to fix them.

Quick Start

Use the bi-validation skill to validate all BI assets generated in the latest gen_dashboard run and return a pass/fail report with any required remediation steps.