scbe-self-improvement-skill-management

What problem does it solve?

The SCBE self-improvement loop provides a formal, auditable workflow to document completed work, create or update skills, and propagate SCBE knowledge across AI systems using context documents and structured knowledge files. It guides users to enforce explicit approvals before installing or updating skills, standardizes skill descriptions, and enables transfer prompts and dataset packaging for collaboration and reproducibility.

Core Features & Use Cases

• Enforces explicit approval before installing or updating skills.
• Documents, standardizes, and moves deep material to references/ for reuse.
• Enables knowledge propagation to other AI systems via templates and assets.
• Provides templates and workflows for context, knowledge artifacts, and transfer prompts.
• Supports end-to-end skill lifecycle: creation, updates, and governance.

Quick Start

Run init_skill.py to scaffold a new SCBE skill and begin documenting trigger phrases, workflow steps, and governance rules in SKILL.md.