Alfworld Storage Explorer logo

Alfworld Storage Explorer

OrganizationPopular
zjunlp
alfworld-storage-explorer

Systematically explores storage receptacles (drawers, cabinets, shelves) to find an appropriate placement location for an object. Use when the agent needs to store an item but the exact target receptacle is unknown or ambiguous. Opens, inspects, and closes candidate receptacles to assess suitability, then places the object in the best match.

Overview

Publisherzjunlp
RepositorySkillNet
Skill namealfworld-storage-explorer
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 Storage Explorer 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-storage-explorer
  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-storage-explorer .claude/skills/alfworld-storage-explorer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Alfworld Storage Explorer 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 Storage Explorer 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 Storage Explorer 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: Storage Explorer

When to Use

Activate this skill when:

  1. You have an object that needs to be stored/placed.
  2. The exact target receptacle is unspecified or ambiguous.
  3. You need to validate if a potential receptacle is appropriate before placing the object.

Core Strategy

  1. Prioritize Exploration: When the target location is unclear, systematically check available storage receptacles.
  2. Inspect Before Placing: Always open and examine a receptacle's contents before deciding to place your object there.
  3. Maintain Environment State: Close receptacles after inspection unless you're placing the object inside.

Execution Pattern

Follow this decision flow:

Phase 1: Initial Assessment

  • Identify all potential storage receptacles in the environment (drawers, cabinets, etc.)
  • If you already have the target object, proceed to Phase 2
  • If you don't have the object, acquire it first (this skill focuses on storage exploration)

Phase 2: Systematic Exploration

For each candidate receptacle:

  1. Navigate to the receptacle
  2. Open it (if closed)
  3. Observe its contents
  4. Evaluate suitability based on:
    • Current contents (are similar objects stored here?)
    • Available space
    • Logical categorization
  5. Close the receptacle (unless placing object there)

Phase 3: Decision Making

  • If you find a clearly appropriate receptacle (e.g., contains similar objects), place your object there
  • If no receptacle is clearly appropriate, choose based on:
    • Empty receptacles first
    • Proximity to related objects/areas
    • Consistency with environment patterns

Key Considerations

  • Efficiency: Don't explore receptacles that are clearly inappropriate (e.g., refrigerator for non-food items)
  • Context Clues: Look for environmental hints about storage organization
  • Task Requirements: Consider if the object needs special conditions (clean, cooled, heated)

Error Handling

  • If "Nothing happened" when trying to open/close, the receptacle might be locked or broken
  • If unable to place object in a receptacle, try alternative locations
  • If all exploration fails, reconsider your understanding of "appropriate" storage

Example

Task: "Put a clean sponge in drawer."

Input: Holding sponge 1 (already cleaned). Target type: drawer.

Sequence:

  1. go to drawer 1 → Observation: "You are at drawer 1."
  2. open drawer 1 → Observation: "You open the drawer 1. The drawer 1 is open. You see nothing."
  3. put sponge 1 in/on drawer 1 → Observation: "You put the sponge 1 in/on the drawer 1."

Output: The sponge 1 has been stored in drawer 1. Task complete.

Output Format

Maintain the standard action format:

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 Storage Explorer AI skill do?

Systematically explores storage receptacles (drawers, cabinets, shelves) to find an appropriate placement location for an object. Use when the agent needs to store an item but the exact target receptacle is unknown or ambiguous. Opens, inspects, and closes candidate receptacles to assess suitability, then places the object in the best match.

Why use Alfworld Storage Explorer on TypingMind?

Because you install it once and use it with any model. Alfworld Storage Explorer 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 Storage Explorer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/alfworld/alfworld-storage-explorer. 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 Storage Explorer?

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 Storage Explorer?

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

Is the Alfworld Storage Explorer 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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