centauro

Assess context quality using 4-dimensional framework with parallel processing

Build context files through a guided interview process based on a context needs analysis

Curate and load contexts with quality gate filtering and memory synthesis

Analyze a task to determine what context files (c₁-c₆) are needed for optimal AI performance

Load a previously curated memory context for a task

Prepare task-specific context with smart reuse and quality filtering

Process files, folders, or information into the Centauro context system

Reflect on current session to extract learnings and create context files

Initialize the Context Engineering infrastructure for the current project