alfworld-environment-scanner

Parses Alfworld observation text to catalog visible objects and receptacles.

1.1k|131|Updated Jan 10, 2026
One-click install
npx skills add https://github.com/zjunlp/SkillNet --skill alfworld-environment-scanner
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: alfworld-environment-scanner
Source: https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/alfworld/alfworld-environment-scanner
Command: npx skills add https://github.com/zjunlp/SkillNet --skill alfworld-environment-scanner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill automates the initial environmental scan in Alfworld, identifying all visible objects and receptacles to build a foundational mental map for agent planning.

Core Features & Use Cases

  • Initial Scan: Executes a scan upon starting any Alfworld task.
  • Entity Extraction: Parses raw observation text to identify and list all objects and receptacles.
  • Mental Map Generation: Creates a structured internal summary of the environment for planning.
  • Use Case: At the beginning of a task, the agent uses this skill to understand its surroundings, listing all furniture and containers, before deciding where to search first.

Quick Start

Initiate an environment scan to identify all visible objects and receptacles in the Alfworld simulation.

Frequently Asked Questions about alfworld-environment-scanner

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

FAQPage Schema
How do I scan the Alfworld environment for visible objects and receptacles?

To scan the Alfworld environment, this Skill parses raw observation text to extract and list all visible objects and receptacles. It processes natural language descriptions to build a structured mental map for agent planning and navigation.

What is environment scanning in Alfworld and when do I need it?

Environment scanning in Alfworld is the process of cataloging visible entities from raw text. You need it at the start of any Alfworld task to understand your surroundings and identify all furniture and containers before deciding where to search.

Can I use this environment scan to identify specific receptacles in Alfworld?

Yes, you can use this environment scan to identify specific receptacles in Alfworld. The Skill categorizes extracted entity names from natural language descriptions, specifically distinguishing between objects and receptacles for agent planning.

How does object detection from natural language work for Alfworld tasks?

Object detection from natural language for Alfworld tasks works by parsing raw observation text. The Skill processes these descriptions to extract entity names and generate a structured internal summary of the environment.

Do I need any dependencies to parse Alfworld observations for agent planning?

You do not need any external dependencies to parse Alfworld observations for agent planning. The Skill operates independently to process natural language descriptions and build a structured mental map without requiring additional setup.