Scienceworld Container Item Retriever

OrganizationPopular

zjunlp

scienceworld-container-item-retriever

This skill retrieves a specified item from a container by using the 'pick up' action. It should be triggered when the agent has identified a needed item inside an open container (e.g., a jar, box, or hive) and must transfer it to inventory for later use. The skill handles the object transfer, assuming the container is already accessible, and outputs confirmation that the item is now in the agent's inventory.

Overview

Publisher	zjunlp
Repository	`SkillNet`
Skill name	`scienceworld-container-item-retriever`
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 Container Item Retriever 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-container-item-retriever
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-container-item-retriever

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-container-item-retriever .claude/skills/scienceworld-container-item-retriever

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

Use it in TypingMind

Enable Scienceworld Container Item Retriever 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 Container Item Retriever 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 Container Item Retriever 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: Retrieve Item from Container

Purpose

Transfer a specified item from an open, accessible container into the agent's inventory using the pick up action.

Trigger Conditions

Use this skill when all of the following are true:

The agent has identified a specific item needed for a task.
The item is located inside a container (e.g., jar, box, hive, closet).
The container is already open and accessible (no open action required).
The agent's immediate goal is to possess the item for later use.

Core Action

Execute the pick up <ITEM> action, where <ITEM> is the exact name of the target object as observed in the environment.

Execution Workflow

Verify Context: Ensure the target item is present in the current room's observation and is inside an open container.
Execute Transfer: Perform the pick up <ITEM> action.
Confirm Success: The expected observation is: "You move the <ITEM> to the inventory." If a different result occurs, consult the troubleshooting guide.

Important Notes

Pre-condition: This skill assumes the container is already open. If the container is closed, you must use the open action first.
Ambiguity: If multiple identical items exist (e.g., "avocado seed, avocado seed, avocado seed"), the pick up action will typically retrieve one. The skill does not handle selecting a specific instance.
Post-condition: After successful execution, the item is in the agent's inventory and can be used in subsequent steps.

Example

Task: Retrieve an avocado seed from a jar for planting.

look around — observe: "a jar (containing an avocado seed)"
pick up avocado seed
Expected observation: "You move the avocado seed to the 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/execution_examples.md2 KB

Frequently asked questions

What does the Scienceworld Container Item Retriever AI skill do?

Why use Scienceworld Container Item Retriever on TypingMind?

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

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

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 Container Item Retriever?

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

Is the Scienceworld Container Item Retriever 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: Retrieve Item from Container

Purpose

Trigger Conditions

Core Action

Execution Workflow

Important Notes

Example

Bundled files

Frequently asked questions

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