path-explore

Select the farthest reachable position and navigate to it using spatial maps.

10|Updated Jul 22, 2025
One-click install
npx skills add https://github.com/bdambrosio/Cognitive_workbench --skill path-explore
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: path-explore
Source: https://github.com/bdambrosio/Cognitive_workbench/tree/main/src/world-tools/minecraft/path-explore
Command: npx skills add https://github.com/bdambrosio/Cognitive_workbench --skill path-explore

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of exploring unknown areas in a virtual environment by autonomously navigating towards the farthest reachable point from the agent's current location.

Core Features & Use Cases

  • Autonomous Exploration: The agent intelligently selects a target point in unexplored territory and attempts to reach it.
  • Dynamic Pathfinding: Utilizes internal spatial maps and navigation primitives to find and follow a path.
  • Use Case: In a procedurally generated game world, use this Skill to have your agent systematically uncover new areas, map out the terrain, and discover points of interest without direct player input.

Quick Start

Instruct the agent to explore the environment by calling the path-explore skill.

Frequently Asked Questions about path-explore

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

FAQPage Schema
How do I automate autonomous exploration in a Minecraft-like environment?

Autonomous exploration is handled by selecting the farthest reachable position from the agent's spatial map and navigating there using pathfinding primitives, then updating the map after the episode. The agent intelligently targets unexplored territory to systematically uncover new areas without direct player input.

How does frontier-directed pathfinding work for autonomous agents?

Frontier-directed pathfinding works by identifying the farthest reachable point on the agent's internal spatial map and attempting to reach it using navigation primitives, updating the map dynamically after exploration.

Can I use this for mapping procedurally generated game worlds without player input?

Yes, you can use it to map procedurally generated game worlds without player input by having the autonomous agent systematically navigate toward unexplored territory to uncover new areas and discover points of interest.

What is the best way to discover points of interest in unexplored game territory?

The best way to discover points of interest is to instruct an autonomous agent to perform a frontier-directed exploration episode, which systematically targets and navigates toward the farthest reachable unexplored positions.

Do I need any dependencies to run autonomous navigation and exploration scripts?

No dependencies are required to run autonomous navigation and exploration scripts, as the Skill operates independently using its own internal spatial maps and navigation primitives to manage pathfinding.

Why does my autonomous agent stop exploring new terrain in a Minecraft-like world?

Your agent might stop exploring new terrain if it cannot find a reachable frontier position in its internal spatial map, as the Skill relies on selecting the farthest reachable point to trigger each exploration episode.