Scienceworld Liquid Source Finder logo

Scienceworld Liquid Source Finder

OrganizationPopular
zjunlp
scienceworld-liquid-source-finder

This skill searches rooms for a liquid source (e.g., sink, toilet, jug) by sequentially surveying different locations. It should be triggered when the task requires obtaining a liquid (like water) and the agent does not have immediate access to it. The skill involves teleporting to candidate rooms, looking around, and identifying potential sources, guiding the agent toward the nearest available liquid.

Overview

Publisherzjunlp
RepositorySkillNet
Skill namescienceworld-liquid-source-finder
Stars
1.4K
Forks
152
Bundled files
2
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.

  • 2 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 Liquid Source Finder 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-liquid-source-find
  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-liquid-source-find .claude/skills/scienceworld-liquid-source-finder
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Scienceworld Liquid Source Finder 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 Liquid Source Finder 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 Liquid Source Finder 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: Liquid Source Finder

When to Use

Activate this skill when your primary task requires a liquid (e.g., water, juice, paint) and you have confirmed it is not present in your current inventory or immediate vicinity.

Core Procedure

  1. Initiate Search: If no liquid source is visible, begin a systematic room survey.
  2. Prioritize Rooms: Teleport to and survey rooms in this order of likelihood:
    • Kitchen (high priority - contains sink, fridge, cups)
    • Bathroom (high priority - contains sink, toilet, bathtub)
    • Greenhouse (medium priority - contains sink, jugs)
    • Workshop (medium priority - may contain specialized containers)
    • Art Studio (low priority - may contain paint or water for cleaning)
    • Living Room, Bedroom, Hallway (low priority - check for any containers)
  3. Survey Each Room:
    • Use look around upon arrival.
    • Visually scan the observation for liquid sources or containers that might hold liquid (e.g., sink, toilet, jug, cup, bathtub).
    • If a source is found (e.g., a sink), proceed to obtain the liquid. If a container is found (e.g., a jug), examine it or look at it to check its contents.
  4. Obtain the Liquid:
    • If the liquid is in a portable container (e.g., cup containing water), simply pick up the container.
    • If the liquid is in a fixed source (e.g., sink, toilet): a. Ensure you have an empty container in your inventory. If not, find one (e.g., a cup). b. move your container to the source. c. activate the source if necessary (e.g., turn on the sink). d. deactivate the source once done. e. pick up the now-filled container.
  5. Terminate Search: Once the required liquid is successfully obtained and in your inventory, conclude the skill and return to the main task flow.

Key Principles

  • Efficiency: Do not re-survey rooms unnecessarily. Keep mental note of rooms already visited.
  • Container Management: Always ensure you have a suitable container before attempting to collect liquid from a non-portable source.
  • Observation Parsing: Focus on object names and their described contents. Look for keywords like water, juice, or the name of your target liquid, and objects like sink, toilet, jug.

Quick Reference

Trigger: Need liquid, don't have it. Action Loop: Teleport -> look around -> Identify source -> Collect. Success: Liquid is in inventory.

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 Liquid Source Finder AI skill do?

This skill searches rooms for a liquid source (e.g., sink, toilet, jug) by sequentially surveying different locations. It should be triggered when the task requires obtaining a liquid (like water) and the agent does not have immediate access to it. The skill involves teleporting to candidate rooms, looking around, and identifying potential sources, guiding the agent toward the nearest available liquid.

Why use Scienceworld Liquid Source Finder on TypingMind?

Because you install it once and use it with any model. Scienceworld Liquid Source Finder 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 Liquid Source Finder in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-liquid-source-find. 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 Liquid Source Finder?

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 Liquid Source Finder?

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

Is the Scienceworld Liquid Source Finder 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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