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Scienceworld Object Placer

OrganizationPopular
zjunlp
scienceworld-object-placer

Moves a specified object from the environment or inventory into a target container based on a classification decision. Use this skill when a task requires sorting or storing an object in a specific location after an assessment (e.g., placing a conductive object in the blue box or a non-conductive object in the orange box).

Overview

Publisherzjunlp
RepositorySkillNet
Skill namescienceworld-object-placer
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 Scienceworld Object Placer 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-placer
  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-placer .claude/skills/scienceworld-object-placer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Scienceworld Object Placer 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 Placer 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 Placer 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: Object Placer

Purpose

Move an object into the correct container based on a prior classification or assessment result. This is the final step in conditional sorting workflows.

Core Workflow

  1. Confirm Assessment Result: Know which container corresponds to which classification (e.g., "blue box" = conductive, "orange box" = non-conductive).
  2. Acquire Object (if needed): pick up OBJ if the target is not already in inventory.
  3. Execute Placement: move OBJ to OBJ — place the object in the correct container.
  4. Verify Placement: look at <CONTAINER> to confirm the object is now inside.

Key Actions

ActionPurpose
pick up OBJAcquire object if not in inventory
move OBJ to OBJPlace object into destination container
look at OBJVerify placement succeeded

Example

Task: "Determine if metal pot is electrically conductive. If conductive, place in the blue box. If nonconductive, place in the orange box."

  1. Assessment complete: circuit test confirmed metal pot is conductive.
  2. pick up metal pot (if not already held)
  3. move metal pot to blue box
  4. look at blue box — confirms: "In the blue box is: a metal pot"

Important Notes

  • The classification or assessment must be completed before invoking this skill.
  • Always verify placement with look at — do not assume success.
  • Container names vary per task (blue box, orange box, etc.) — match them to the task instructions.

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 Placer AI skill do?

Moves a specified object from the environment or inventory into a target container based on a classification decision. Use this skill when a task requires sorting or storing an object in a specific location after an assessment (e.g., placing a conductive object in the blue box or a non-conductive object in the orange box).

Why use Scienceworld Object Placer on TypingMind?

Because you install it once and use it with any model. Scienceworld Object Placer 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 Placer 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-placer. 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 Placer?

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 Placer?

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

Is the Scienceworld Object Placer 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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