recursive-training

What problem does it solve?

This Skill is designed to handle the extraction and refreshing of experiential memory from completed recursive-mode runs, providing durable, reusable guidance for future operations.

Core Features & Use Cases

• Memory Extraction: Automates the process of extracting learnings from completed runs.
• Memory Refresh: Updates the experiential memory with the latest learnings post-Phase 8.
• Startup Guidance: Provides startup guidance without mutating the memory plane.
• Use Case: For a repository that has completed multiple recursive-mode runs, this Skill ensures that the accumulated learnings are used effectively for subsequent runs.

Quick Start

Run the 'recursive-training' skill to extract learnings from the completed runs in the current repository.