Scienceworld Substance Cooler

OrganizationPopular

zjunlp

scienceworld-substance-cooler

This skill initiates the cooling of a substance by moving it into a cooling appliance like a freezer. Use when a task requires lowering the temperature of a specific material to observe phase changes. The skill takes the substance (often in a container) and the target appliance as inputs, using the 'move OBJ to OBJ' action. It outputs confirmation of the new location.

Overview

Publisher	zjunlp
Repository	`SkillNet`
Skill name	`scienceworld-substance-cooler`
Stars	1.4K
Forks	152
Bundled files	1
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.
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 Substance Cooler 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-substance-cooler
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-substance-cooler

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-substance-cooler .claude/skills/scienceworld-substance-cooler

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

Use it in TypingMind

Enable Scienceworld Substance Cooler 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 Substance Cooler 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 Substance Cooler 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: Substance Cooler

Purpose

Use this skill to begin the process of cooling a substance to potentially observe a phase change (e.g., freezing). The core action is to relocate the substance into a cooling appliance.

When to Use

The task explicitly requires cooling a substance (e.g., "measure the melting point of mercury").
You have identified both the target substance (often inside a container like a cup or jar) and a suitable cooling appliance (e.g., freezer, ultra low temperature freezer).
The immediate goal is to lower the substance's temperature.

Core Instruction

Locate Items: Ensure you are in the room containing the target substance and the cooling appliance. Use look around if necessary.
Execute Move: Perform the action move <SUBSTANCE_CONTAINER> to <APPLIANCE>.
- <SUBSTANCE_CONTAINER>: The object holding the substance (e.g., "glass cup (containing a substance called mercury)").
- <APPLIANCE>: The cooling device (e.g., "freezer").
Verify: Use look at <APPLIANCE> to confirm the substance is now inside the appliance. Report this confirmation.

Important Notes

Prerequisite: The appliance door must be open. The trajectory shows all containers are already open, so this should not require a separate open action.
This is an Initialization Skill: This skill only starts the cooling process. Subsequent skills or actions (like use thermometer on <SUBSTANCE>) are required to monitor temperature changes and observe the phase transition.
Inputs: The skill requires the names of the substance container and the target appliance as identified in the environment observations.
Output: A confirmation observation stating the substance is now inside the appliance.

Example from Trajectory

Trigger: Task requires measuring the melting point of mercury. Action: move glass cup (containing a substance called mercury) to freezer Verification: look at freezer yields "In the freezer is: a glass cup (containing a substance called mercury)." Output: "The mercury in its glass cup has been placed into the freezer to begin cooling."

Bundled files

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

references/phase_change_protocol.md2 KB

Frequently asked questions

What does the Scienceworld Substance Cooler AI skill do?

Why use Scienceworld Substance Cooler on TypingMind?

Because you install it once and use it with any model. Scienceworld Substance Cooler 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 Substance Cooler in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-substance-cooler. 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 Substance Cooler?

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 Substance Cooler?

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

Is the Scienceworld Substance Cooler 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Skill: Substance Cooler

Purpose

When to Use

Core Instruction

Important Notes

Example from Trajectory

Bundled files

Frequently asked questions

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