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Alfworld Locate Target Object

OrganizationPopular
zjunlp
alfworld-locate-target-object

Navigates to a suspected location and identifies a target object. Use when your goal requires finding a specific object (e.g., "potato", "plate") and its location is not immediately known. Moves to a relevant receptacle (like a fridge or cabinet), checks its contents, and outputs the object's location or confirms its absence.

Overview

Publisherzjunlp
RepositorySkillNet
Skill namealfworld-locate-target-object
Stars
1.4K
Forks
152
Bundled files
1
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by zjunlp on GitHub. Read the source before you install it.

Installation

Install the Alfworld Locate Target Object AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/alfworld/alfworld-locate-target-object
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/zjunlp/SkillNet.git /tmp/SkillNet
mkdir -p .claude/skills
cp -r /tmp/SkillNet/experiments/src/skills/alfworld/alfworld-locate-target-object .claude/skills/alfworld-locate-target-object
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Alfworld Locate Target Object in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Alfworld Locate Target Object on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Alfworld Locate Target Object is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Skill: Locate Target Object

Purpose

Use this skill when your goal requires a specific object and you need to find it. The skill directs you to a likely receptacle, inspects it, and confirms if the target is present.

Core Workflow

  1. Identify Target & Suspected Location: Determine the object you need and the most logical place to find it (e.g., food in the fridge, utensils in a drawer).
  2. Navigate: Go to the suspected receptacle.
  3. Inspect: If the receptacle is closed, open it.
  4. Locate: Visually scan the contents for the target object.
  5. Report: Output the object's location if found, or note its absence.

Instructions

Follow this sequence of actions and reasoning.

Thought: I need to find a <target_object>. The most likely place for it is the <suspected_receptacle>. Action: go to <suspected_receptacle>

Observation: [You arrive at the receptacle. It may be open or closed.]

Thought: I am at the <suspected_receptacle>. To see inside, I must open it. Action: open <suspected_receptacle>

Observation: [The receptacle opens, revealing its contents.]

Thought: The <suspected_receptacle> is open. I will now look for the <target_object> among its contents.

  • If the object is visible: I have located the <target_object> in the <suspected_receptacle>. My location task is complete.
  • If the object is not visible: The <target_object> is not in the <suspected_receptacle>. I must consider the next most likely location.

Key Principles

  • Contextual Guessing: Use common sense to guess the initial search location (e.g., fridge for perishables, cabinet for dry goods).
  • Sequential Access: You must go to a location before you can open it.
  • Visual Confirmation: Only trust the Observation after opening a receptacle to confirm an object's presence or absence.

Example

Scenario: You need to find a potato for a heating task.

Thought: I need to find a potato. Potatoes are commonly stored in the fridge.
Action: go to fridge 1
Observation: The fridge 1 is closed.
Action: open fridge 1
Observation: You open the fridge 1. The fridge 1 is open. In it, you see a potato 1, a lettuce 2.

Result: The potato has been located in fridge 1. You can now take potato 1 from fridge 1 and proceed.

Next Steps

After successfully locating the object, you will typically need to take it or interact with it, which is outside the scope of this skill. If the object is not found, trigger this skill again with a new suspected location.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Alfworld Locate Target Object AI skill do?

Navigates to a suspected location and identifies a target object. Use when your goal requires finding a specific object (e.g., "potato", "plate") and its location is not immediately known. Moves to a relevant receptacle (like a fridge or cabinet), checks its contents, and outputs the object's location or confirms its absence.

Why use Alfworld Locate Target Object on TypingMind?

Because you install it once and use it with any model. Alfworld Locate Target Object is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Alfworld Locate Target Object in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/alfworld/alfworld-locate-target-object. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Alfworld Locate Target Object?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Alfworld Locate Target Object?

As many as you like. As long as a model supports skills, you can use Alfworld Locate Target Object with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Alfworld Locate Target Object AI skill free?

Yes. It is published on GitHub by zjunlp under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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