knowledge-manager

Store preferences by capturing them from natural conversation, assign confidence levels based on validation, and persist them as structured JSON. Retrieve preferences by querying the knowledge store to personalize behavior across travel, identity, and memory contexts.

Yes. The Skill learns from conversation context, validates input data against your requirements, and updates identity information with confidence scores, ensuring your knowledge store stays current and accurate.

Confidence scoring assigns reliability levels to stored preferences and identity data based on validation rules and input quality. This lets you distinguish high-confidence facts from tentative information across multiple interaction contexts.

Preferences and identity data are stored as structured JSON files in your designated knowledge store path, enabling the system to retrieve and apply them across lifecycle workflows and future interactions without re-learning.

The Skill exposes preference storage, retrieval, and validation actions through tools and triggers that activate from natural language queries like 'Show my identity' or 'What do you know about my travel preferences?'

Yes. Data persists in your designated knowledge store path under your control, supporting privacy-first storage of preferences and identity information without external transmission or third-party access.