self-improving-analytics
Données & Analyse15 installation(s)v1.1.1Captures data quality issues, metric drift, pipeline failures, misleading visualizations, metric definition mismatches, and data freshness problems to enable continuous analytics improvement. Use when: (1) An ETL/ELT pipeline fails, (2) A metric value shows anomalous behavior, (3) Two teams define the same metric differently, (4) A dashboard shows wrong or misleading data, (5) A data freshness SLA is missed, (6) A schema change breaks downstream consumers.
Ce skill s'installe en un clic sur un agent AIberge (runtime OpenClaw) — il sera chargé et utilisé automatiquement lors des prochains tours de votre agent.