crux-skill-memory-meditation-ensemble

What problem does it solve?

This Skill solves the challenge of combining independent AI research trees into a reliable cross-model synthesis while preserving provenance, disagreements, and high-value discoveries.

Core Features & Use Cases

• Ensemble Synthesis: Compares multiple model consolidations to identify convergent findings, divergent conclusions, and unique insights with model attribution.
• Layered Finalisation Management: Aggregates per-tree enhancement candidates, performs cross-model reflection, manages user decision gates, and routes accepted improvements.
• Use Case: When multiple AI agents investigate a complex topic, use this Skill to create a unified synthesis report with evidence comparisons, citations, and ensemble-level recommendations.

Quick Start

Use the crux-skill-memory-meditation-ensemble skill to combine completed meditation trees into a cross-model synthesis report and finalisation workflow.