xiaozhi-skill-coordinator

Coordinate cross-skill data flows by orchestrating error notebooks, Feynman tests, Cornell notes, learning plans, and time-focused tracking with on-demand activation and user-consented data sharing.

Yes, you can generate panoramic monthly reports by aggregating only authorized summaries from active learning skills to keep progress transparent while guarding data privacy.

Yes, learning system coordination requires explicit user consent to ensure minimal data sharing, reduce noise, and guard privacy during cross-skill handover and invocation.

Trigger the five-skill coordination after obtaining user consent for data usage when you need cross-skill analysis, enabling lightweight data exchange and strict consent controls.

Harmonize error notebooks and Cornell notes by applying schema-validated cross-agent handover with minimal field extraction and context-bound summaries to align learning workflows.

Data exchange between learning plans and time-focused tracking is limited to lightweight, on-demand invocation with strict consent controls, ensuring minimal authorized summaries are shared.