aspirations-select

Score and prioritize candidate goals for autonomous execution.

5|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/zkysar1/Claude-Mind --skill aspirations-select
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aspirations-select
Source: https://github.com/zkysar1/Claude-Mind/tree/main/.claude/skills/aspirations-select
Command: npx skills add https://github.com/zkysar1/Claude-Mind --skill aspirations-select

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about aspirations-select

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prioritize goals for autonomous agent execution?

To prioritize goals for autonomous execution, you provide an initial set of candidate goals to an aspiration selector, which ranks them using algorithmic scoring and metacognitive assessment. This identifies the best next action while managing workflow complexity.

What is metacognitive assessment in goal orchestration?

Metacognitive assessment in goal orchestration evaluates candidate goals by estimating familiarity, value, cost, and available infrastructure. This judgment mechanism ensures autonomous agents select high-value actions while accounting for execution constraints.

How do I handle blockers and batch multiple goals in autonomous planning?

To handle blockers and batch multiple goals in autonomous planning, apply gating and batching techniques to manage workflow complexity. This coordinates pre-fetching related tasks and ensures smoother execution across multi-goal campaigns.

Does goal selection support preconditions and infrastructure checks?

Goal selection supports preconditions and infrastructure checks through compatibility with goal orchestration. It ensures guardrails, preconditions, learning loops, and infrastructure validations are applied before executing high-value actions.

Can I use algorithmic scoring for sprint-like automation loops?

You can use algorithmic scoring for sprint-like automation loops by allowing an autonomous agent to continuously select, load, and refine goals. This optimizes long-term outcomes by applying metacognitive judgments in a continuous execution cycle.