Alfworld Object Storer logo

Alfworld Object Storer

OrganizationPopular
zjunlp
alfworld-object-storer

Use when the agent is holding an object and needs to place it into a target receptacle in ALFWorld. This skill checks receptacle suitability, opens closed containers if needed, and executes the `put` command to store the object. It handles both open surfaces (countertops, beds) and closed containers (drawers, cabinets).

Overview

Publisherzjunlp
RepositorySkillNet
Skill namealfworld-object-storer
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 Alfworld Object Storer 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/alfworld/alfworld-object-storer
  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/alfworld/alfworld-object-storer .claude/skills/alfworld-object-storer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Alfworld Object Storer 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 Alfworld Object Storer 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 Alfworld Object Storer 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: Object Storer

When to Use

Trigger this skill when:

  1. The agent is holding the target object (optionally cleaned/heated/cooled as required)
  2. A suitable storage receptacle has been identified
  3. The agent needs to execute the final placement step

Core Workflow

1. Validate Prerequisites

  • Confirm the agent is holding {object_name} (check inventory)
  • Confirm the agent is at the location of {target_receptacle}
  • If not at the receptacle, navigate there first: go to {target_receptacle}

2. Check Receptacle State

Evaluate the receptacle before placing:

Receptacle StateAction
Open and empty/suitableProceed with put
Closed (drawer, cabinet, safe)open {target_receptacle} first, then put
Unsuitable (wrong type, full)Abort and search for alternative receptacle

3. Execute Storage

  • Run: put {object_name} in/on {target_receptacle}
  • Check the observation for confirmation

4. Verify Placement

  • A successful placement updates the receptacle contents in the observation
  • If the observation confirms the object is now in/on the receptacle, storage is complete

Example

Task: "Clean the knife and put it in a drawer."

> go to drawer 1
The drawer 1 is closed.
> open drawer 1
You open the drawer 1. The drawer 1 is open. In it, you see nothing.
> put knife 1 in/on drawer 1
You put the knife 1 in/on the drawer 1.

Result: knife 1 is now stored in drawer 1. Task complete.

Example 2 — Open surface:

> go to bed 1
On the bed 1, you see a pillow 1.
> put cellphone 2 in/on bed 1
You put the cellphone 2 in/on the bed 1.

Error Handling

  • "Nothing happened": The agent may not be holding the object, or the receptacle name is incorrect. Verify with inventory and re-check the receptacle identifier.
  • Receptacle unsuitable: If the receptacle is not appropriate for the object, search for an alternative using the object-locator skill.
  • Agent not at receptacle: Navigate to the receptacle with go to {target_receptacle} before attempting put.

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 Alfworld Object Storer AI skill do?

Use when the agent is holding an object and needs to place it into a target receptacle in ALFWorld. This skill checks receptacle suitability, opens closed containers if needed, and executes the `put` command to store the object. It handles both open surfaces (countertops, beds) and closed containers (drawers, cabinets).

Why use Alfworld Object Storer on TypingMind?

Because you install it once and use it with any model. Alfworld Object Storer 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 Alfworld Object Storer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/alfworld/alfworld-object-storer. 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 Alfworld Object Storer?

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 Alfworld Object Storer?

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

Is the Alfworld Object Storer 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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