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Scienceworld Substance Preparator

OrganizationPopular
zjunlp
scienceworld-substance-preparator

Use when you need to transfer a target substance into an appropriate container for processing (e.g., a pot for heating, a beaker for mixing). Trigger after acquiring the substance and before setting up an apparatus. Selects a suitable empty container and moves the substance into it.

Overview

Publisherzjunlp
RepositorySkillNet
Skill namescienceworld-substance-preparator
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 Substance Preparator 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-substance-preparator
  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-substance-preparator .claude/skills/scienceworld-substance-preparator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Scienceworld Substance Preparator 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 Preparator 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 Preparator 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.

Substance Preparation Skill

Purpose

Prepare a target substance for subsequent processing (e.g., heating, mixing) by transferring it from its current location into an appropriate, empty container.

When to Use

  1. Trigger: After successfully locating and focusing on the target substance.
  2. Prerequisite: The substance must be accessible (e.g., in inventory, in an open container).
  3. Next Step: This skill should be completed before setting up any apparatus (e.g., activating a stove, connecting electrical components).

Core Procedure

  1. Identify Target Substance: Confirm the exact name and location of the substance to be prepared.
  2. Scan Environment for Containers: Look for empty, process-appropriate containers in the current room. Priority order:
    • Primary: Metal pots, beakers, or bowls (for heating/mixing).
    • Secondary: Ceramic/glass cups, jars (if primary not available).
    • Avoid: Containers already holding items or substances.
  3. Select & Validate Container: Choose the most suitable empty container. If uncertain, examine it to confirm it's empty.
  4. Execute Transfer: Use the move [SUBSTANCE] to [CONTAINER] action.
  5. Verify: Briefly check the container's contents to confirm the transfer was successful.

Key Considerations

  • Container State: All containers are pre-opened. Do not use open or close actions.
  • Efficiency: Prefer containers in the same room to minimize teleport use.
  • Substance Integrity: If the substance is temperature-sensitive (e.g., chocolate in a fridge), moving it to a room-temperature container is part of preparation.
  • Error Handling: If the transfer fails (e.g., container not found), look around again and consult the bundled reference for common container names.

Example

Scenario: You need to melt chocolate as part of a heating task.

  1. You have already located chocolate in the fridge in the kitchen.
  2. Run look around to scan for containers. You see: metal pot (empty, on counter), glass beaker (empty, on shelf), ceramic cup (contains water).
  3. Select metal pot as the best option (metal, empty, suitable for heating).
  4. Run examine metal pot to confirm it is empty.
  5. Run move chocolate to metal pot.
  6. Run examine metal pot — output confirms: "metal pot (containing chocolate)".

Proceed to the next skill (e.g., apparatus setup) only after this verification.

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 Substance Preparator AI skill do?

Use when you need to transfer a target substance into an appropriate container for processing (e.g., a pot for heating, a beaker for mixing). Trigger after acquiring the substance and before setting up an apparatus. Selects a suitable empty container and moves the substance into it.

Why use Scienceworld Substance Preparator on TypingMind?

Because you install it once and use it with any model. Scienceworld Substance Preparator 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 Preparator 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-preparator. 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 Preparator?

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 Preparator?

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

Is the Scienceworld Substance Preparator 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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