Scienceworld Item Fetcher

OrganizationPopular

zjunlp

scienceworld-item-fetcher

Picks up a specified object from the environment and moves it into the agent's inventory. Use this skill when you identify a required tool or material (e.g., thermometer, metal pot) that needs to be collected for later use in an experiment or task. Takes an object name as input and confirms the item's transfer to inventory.

Overview

Publisher	zjunlp
Repository	`SkillNet`
Skill name	`scienceworld-item-fetcher`
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 Item Fetcher 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-item-fetcher
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-item-fetcher

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-item-fetcher .claude/skills/scienceworld-item-fetcher

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

Use it in TypingMind

Enable Scienceworld Item Fetcher 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 Item Fetcher 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 Item Fetcher 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: Fetch and Inventory Item

Purpose

Use this skill when you need to acquire a specific object for a task. It handles locating the object in the current environment and moving it into your inventory for later use.

Core Workflow

Identify Need: Determine which object is required for your current or upcoming task (e.g., "thermometer", "metal pot").
Locate Object: Ensure you are in the correct room. Use look around to survey the environment and confirm the object is present and accessible.
Execute Fetch: Use the pick up action on the target object.
Verify Success: Confirm the system observation states the object has been moved to your inventory.

Key Principles

Pre-check: Always look around first to verify the object's presence and location (e.g., on a counter, in a container).
Direct Action: Use the simple pick up OBJ command. Do not overcomplicate the sequence.
Inventory Focus: After picking up the object, you may focus on it in your inventory to signal readiness for the next step in your main task.
Error Handling: If pick up fails, the object might be inside a closed container. Ensure all relevant containers are open first.

Example from Trajectory

Scenario: Needing a thermometer to measure temperature.

Observation: a thermometer, currently reading a temperature of 10 degrees celsius is seen in the kitchen.
Action: pick up thermometer
Result: You move the thermometer to the inventory.
(Optional) Action: focus on thermometer in inventory

Input

Object Name: The name of the object to fetch, as it appears in the environment observations (e.g., "thermometer", "metal pot").

Output

A confirmation observation that the object is now in the agent's inventory.

Bundled files

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

references/action_primer.md2 KB

Frequently asked questions

What does the Scienceworld Item Fetcher AI skill do?

Why use Scienceworld Item Fetcher on TypingMind?

Because you install it once and use it with any model. Scienceworld Item Fetcher 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 Item Fetcher in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-item-fetcher. 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 Item Fetcher?

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 Item Fetcher?

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

Is the Scienceworld Item Fetcher 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: Fetch and Inventory Item

Purpose

Core Workflow

Key Principles

Example from Trajectory

Input

Output

Bundled files

Frequently asked questions

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