Scienceworld Inventory Focus logo

Scienceworld Inventory Focus

OrganizationPopular
zjunlp
scienceworld-inventory-focus

Use when the agent needs to confirm and prepare a specific inventory item before using it in an experiment or task step. This "focus on [ITEM] in inventory" action verifies the correct item has been collected and signals intent, ensuring operational readiness for subsequent actions like measurement, combination, or placement.

Overview

Publisherzjunlp
RepositorySkillNet
Skill namescienceworld-inventory-focus
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 Inventory Focus 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-inventory-focus
  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-inventory-focus .claude/skills/scienceworld-inventory-focus
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Scienceworld Inventory Focus 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 Inventory Focus 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 Inventory Focus 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-inventory-focus

Purpose

Confirm and prepare an inventory item before using it in a ScienceWorld task. The focus on [ITEM] in inventory action verifies the item's presence and signals intent, reducing errors in multi-step experimental procedures.

When to Use

  • After picking up an item that will be used in a subsequent critical action (measurement, combination, connection)
  • When verifying the correct object has been collected before proceeding
  • Before using a tool on a target object, to prepare both tool and target

Workflow

  1. Acquire the item -- Ensure the target item is in inventory (e.g., pick up thermometer).
  2. Focus on the item -- Execute: focus on [ITEM] in inventory (replace [ITEM] with the exact object name).
  3. Confirm readiness -- Wait for system response: "You focus on the [ITEM].".
  4. Proceed -- Execute the intended action (e.g., use thermometer on unknown substance B).

Examples

Example 1: Preparing tool and target for temperature measurement

> pick up thermometer
You pick up the thermometer.

> focus on thermometer in inventory
You focus on the thermometer.

> pick up unknown substance B
You pick up the unknown substance B.

> focus on unknown substance B in inventory
You focus on the unknown substance B.

> use thermometer on unknown substance B
The thermometer measures a temperature of 42 degrees celsius.

Example 2: Preparing an item for placement

> pick up metal fork
You pick up the metal fork.

> focus on metal fork in inventory
You focus on the metal fork.

> move metal fork to blue box
You move the metal fork to the blue box.

Important Notes

  • The focus on action does not change the object's state; it is a declarative checkpoint that changes the agent's awareness and intent.
  • Always use the exact object name as it appears in the inventory.
  • If the item is not in inventory, use pick up [ITEM] first before attempting to focus.

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 Inventory Focus AI skill do?

Use when the agent needs to confirm and prepare a specific inventory item before using it in an experiment or task step. This "focus on [ITEM] in inventory" action verifies the correct item has been collected and signals intent, ensuring operational readiness for subsequent actions like measurement, combination, or placement.

Why use Scienceworld Inventory Focus on TypingMind?

Because you install it once and use it with any model. Scienceworld Inventory Focus 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 Inventory Focus in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-inventory-focus. 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 Inventory Focus?

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 Inventory Focus?

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

Is the Scienceworld Inventory Focus 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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