alfworld-object-retriever

Name: alfworld-object-retriever
Availability: InStock
Author: TaoMiao

Retrieve visually confirmed objects from known receptacles in virtual or physical environments.

145|1|Updated Mar 16, 2026

Search Tags:#automation #retrieval #visual #object #receptacle #alfwold

Ready to run

npx skills add https://github.com/taomiao/DynamicSkillCompiler --skill alfworld-object-retriever-taomiao

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: alfworld-object-retriever
Source: https://github.com/taomiao/DynamicSkillCompiler/tree/main/experiments/src/skills/alfworld/alfworld-object-retriever
Command: npx skills add https://github.com/taomiao/DynamicSkillCompiler --skill alfworld-object-retriever-taomiao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables an agent to acquire a specific object from a known receptacle once the object has been visually confirmed, streamlining item retrieval tasks.

Core Features & Use Cases

Object Acquisition: Picks up a target item from a specified receptacle after visual identification.
Receptacle Handling: Operates within environments where objects are stored in containers needing manual retrieval.
Use Case: In domestic robotics, retrieve a specified utensil from a drawer after confirming its presence visually; in virtual environments, automate item collection based on previous observations.

Quick Start

Use the alfworld-object-retriever skill to pick up an object after visually confirming its location in the environment.

Frequently Asked Questions about alfworld-object-retriever

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

FAQPage Schema

How do I automate object retrieval from a receptacle after visual confirmation?▼

Automating object retrieval requires a skill that picks up visually confirmed items from known receptacles. This tool facilitates visual confirmation-based acquisition, enabling agents in virtual or physical environments to acquire target objects efficiently once their location is pre-verified.

Can I use this for domestic robotics tasks like retrieving utensils from drawers?▼

Yes, domestic robotics utensil retrieval is a primary use case. You can use this skill to pick up a specified utensil from a drawer after confirming its presence visually, streamlining safe item retrieval tasks in physical environments.

What is visual confirmation-based item retrieval in virtual environments?▼

Visual confirmation-based item retrieval is the process of acquiring objects from receptacles after visually verifying their presence. It streamlines item collection in virtual environments by automating pickups based on previous visual observations and pre-verified location data.

Does this object retriever require pre-verified object location data?▼

Yes, the object retriever requires pre-verified object location data to function properly. It is designed for scenarios where accurate and efficient pickup of visually identified items is needed, relying on safe handling protocols and confirmed location information.

When should I not use this approach for object acquisition?▼

You should not use this approach when object locations are unverified or visual confirmation is unavailable. It relies strictly on pre-verified object location data and safe handling protocols, making it unsuitable for environments lacking prior visual observations.