aspirations-select

What problem does it solve?

This skill coordinates goal selection for autonomous agents, applying scoring and metacognitive assessment to choose high-value actions while managing workflow complexity.

Core Features & Use Cases

• Algorithmic scoring of candidate goals to identify the best next action.
• Metacognitive assessment to estimate familiarity, value, cost, and available infrastructure per goal.
• Batching and gating to handle multiple goals, blockers, and pre-fetch related tasks for smoother execution.
• Use Case: An autonomous agent continuously selects, loads, and refines goals in a sprint-like loop to optimize long-term outcomes.

Quick Start

Provide the agent with an initial set of goals and let the aspiration selector rank them for execution.