improve-system

To apply learned insights to update brand and user contexts, run the `/improve-system` command, which analyzes reasoning traces and updates your contextual knowledge base with relevant information for future interactions.

Reasoning trace analysis for contextual knowledge bases involves extracting accumulated insights from previous interactions and applying them to update brand and personal contexts for improved decision-making.

You can use reasoning traces to improve future user interactions by running the `/improve-system` command, which applies learned information to update brand and personal contexts for better contextual awareness.

Yes, you can trigger contextual updates automatically through a weekly curation loop, or invoke them manually using the `/improve-system` command to apply reasoning traces and update contexts.

No dependencies are required to run contextual knowledge base updates; the Skill operates independently to analyze reasoning traces and apply learned information to your brand and user contexts.

You should avoid applying insights to update brand context when no reasoning traces or learned information have been accumulated, as the Skill requires prior interaction data to update contexts meaningfully.