Scienceworld Object Selector logo

Scienceworld Object Selector

OrganizationPopular
zjunlp
scienceworld-object-selector

Use when the agent needs to choose a specific object from multiple candidates in the environment based on task criteria such as object type (non-living thing, electrical component, container), properties, or category. This skill surveys visible objects with "look around", evaluates each against the task requirements, selects the most suitable candidate, and signals intent with "focus on [OBJECT]".

Overview

Publisherzjunlp
RepositorySkillNet
Skill namescienceworld-object-selector
Stars
1.4K
Forks
152
Bundled files
1
LicenseMIT
Links
  • 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 Scienceworld Object Selector 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/scienceworld/scienceworld-object-selector
  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/scienceworld/scienceworld-object-selector .claude/skills/scienceworld-object-selector
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Scienceworld Object Selector 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 Selector 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 Selector 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: scienceworld-object-selector

Purpose

Identify and select the correct object from visible candidates in the ScienceWorld environment based on task-defined criteria (e.g., "non-living thing", "electrical component", "container"), then signal intent with a focus on action.

When to Use

  • When a task requires choosing a specific type of object from multiple visible options
  • When the agent must classify objects by property (living/non-living, material type, function) to select one
  • When the task instructs finding and interacting with a particular category of object

Workflow

  1. Survey the environment -- Use look around to list all visible objects in the current location.
  2. Evaluate candidates -- For each visible object, determine if it matches the task criteria. Exclude target containers (e.g., destination boxes) and fixed furniture from candidates.
  3. Select the best match -- Choose the first suitable, portable object unless the task specifies a preference (e.g., "largest", "closest").
  4. Signal intent -- Execute focus on [OBJECT] to confirm selection.
  5. Execute the task action -- Proceed with the required action (e.g., pick up, move, use).

Examples

Example 1: Find a non-living thing and move it

Task: "Find a non-living thing. First, focus on the thing. Then, move it to the purple box."

> look around
You see: purple box, table, battery, black wire, blue light bulb, red light bulb, red wire, switch, violet light bulb, yellow wire, ultra low temperature freezer.

Evaluation: Purple box is the destination. Table and freezer are fixed furniture. Remaining items (battery, wires, bulbs, switch) are all non-living and portable.

> focus on black wire
You focus on the black wire.

> move black wire to purple box
You move the black wire to the purple box.

Example 2: Find an electrical component

Task: "Find an electrical component and place it on the workbench."

> look around
You see: workbench, chair, battery, glass cup, red wire, notebook.

> focus on battery
You focus on the battery.

> move battery to workbench
You move the battery to the workbench.

Key Principles

  • Exclude destinations -- Never select the target container or destination as the candidate object.
  • Verify if uncertain -- Use examine [OBJECT] for more detail about an object's properties before selecting.
  • Task alignment -- The selection should enable the next action in the task sequence.

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 Selector AI skill do?

Use when the agent needs to choose a specific object from multiple candidates in the environment based on task criteria such as object type (non-living thing, electrical component, container), properties, or category. This skill surveys visible objects with "look around", evaluates each against the task requirements, selects the most suitable candidate, and signals intent with "focus on [OBJECT]".

Why use Scienceworld Object Selector on TypingMind?

Because you install it once and use it with any model. Scienceworld Object Selector 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 Selector 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-selector. 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 Selector?

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 Selector?

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

Is the Scienceworld Object Selector 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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