aspirations-learning-gate

What problem does it solve?

This sub-skill enforces a learning gate within the autonomous aspirations loop to prevent stagnation by requiring knowledge updates, evidence capture, and reflective checks before the agent continues.

Core Features & Use Cases

• Guarantees that routine outcomes do not bypass learning gates, and ensures deep outcomes trigger mandatory encoding and reflection.
• Coordinates phase-driven checks (learning, meta-learning, retrieval, and experience archival) to maintain a living knowledge tree and avoid knowledge debt in long-running sessions.
• Use Case: when your agent completes a multi-session research task, this gate ensures the knowledge tree is updated and reflective signals are captured to improve future goals.

Quick Start

Instruct the agent to enable the aspirations-learning-gate and begin enforcing learning gates on every iteration.