Scienceworld Object Locator

OrganizationPopular

zjunlp

scienceworld-object-locator

Searches for a specific target object across multiple rooms by systematically teleporting to likely locations and examining each room. Use this skill when you need to find an object whose exact location is unknown. Iterates through candidate rooms using teleport and look around, checks for the object, and continues until found, returning the object's location.

Overview

Publisher	zjunlp
Repository	`SkillNet`
Skill name	`scienceworld-object-locator`
Stars	1.4K
Forks	152
Bundled files	3
License	MIT
Links	Skill source Repository Homepage

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.
3 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 Scienceworld Object Locator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-object-locator
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-object-locator

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/scienceworld/scienceworld-object-locator .claude/skills/scienceworld-object-locator

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Scienceworld Object Locator 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 Scienceworld Object Locator 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 Scienceworld Object Locator 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.

Instructions

Purpose

Locate a specific target object within the ScienceWorld environment when its location is unknown.

Inputs

Target Object: The name of the object to find (e.g., "thermometer", "metal fork").
Candidate Rooms (Optional): A list of room names to search. If not provided, the skill will use a default priority list based on common object locations.

Core Process

Initialize: Receive the target object name.
Plan Search Order: Determine the sequence of rooms to search. Use the provided prioritize_rooms.py script to generate an optimal search order based on the target object.
Execute Search Loop: a. Teleport to the next room in the search order. b. Use the look around action to observe the room's contents. c. Parse the observation to check for the presence of the target object. d. If the object is found, stop the search and output its location. e. If the object is not found, proceed to the next room.
Output: Report the room where the object was found. If the object is not found after searching all candidate rooms, report this failure.

Key Actions

teleport to <ROOM_NAME>
look around
examine <OBJECT> (if more detail is needed to confirm identity)
pick up <OBJECT> (if the goal is to acquire the object, not just locate it)

Example

Task: Find the thermometer in the environment.

teleport to kitchen
look around — no thermometer found
teleport to workshop
look around — observation includes "a thermometer, currently reading a temperature of 10 degrees celsius"
Thermometer located in workshop. pick up thermometer if needed.

Notes & Best Practices

Efficiency: Always look around immediately after teleporting to get the full room state.
Parsing: Observations list objects after "you see:". Check this list for the target object's name.
Confirmation: If an object's name is ambiguous (e.g., "fork" could be "metal fork" or "plastic fork"), use examine to get a detailed description.
Inventory: If the task requires using the object, remember to pick it up after finding it.
Error Handling: If an object is not in its most likely room, the systematic search will eventually find it. Do not give up after the first few rooms.

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 Scienceworld Object Locator AI skill do?

Why use Scienceworld Object Locator on TypingMind?

Because you install it once and use it with any model. Scienceworld Object Locator 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 Scienceworld Object Locator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-object-locator. 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 Scienceworld Object Locator?

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 Scienceworld Object Locator?

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

Is the Scienceworld Object Locator 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.

View all

Plan Change

ruvnet

CommunityPopular

Turn a feature request into a minimal, file-level implementation plan before any code.

Simplified English

Write user-facing comments, plans, and documents in ASD-STE100 Simplified Technical English — short, unambiguous sentences with approved words and one meaning each — so readers understand them the…

Archify Review

Review Archify issues, PRs, or code through value, cost, and impact to support evidence-based maintenance decisions. Use for issue triage, change reviews, and code quality assessments.

Adr Verify

Read back adr-patterns + adr-edges namespaces, surface dangling refs / supersede cycles / status mismatches; exit 1 on cycles

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Instructions

Purpose

Inputs

Core Process

Key Actions

Example

Notes & Best Practices

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now