Alfworld Inventory Management logo

Alfworld Inventory Management

OrganizationPopular
zjunlp
alfworld-inventory-management

Use when the agent must collect and track multiple instances of the same object type in ALFWorld (e.g., "put two cellphone in bed"). This skill maintains a count of collected versus needed objects, guides systematic searching through receptacles, and ensures each found object is placed at the target before searching for the next.

Overview

Publisherzjunlp
RepositorySkillNet
Skill namealfworld-inventory-management
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 Inventory Management 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-inventory-management
  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-inventory-management .claude/skills/alfworld-inventory-management
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Alfworld Inventory Management 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 Inventory Management 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 Inventory Management 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.

Inventory Management Skill

When to Use

Activate this skill when:

  • Task requires collecting multiple instances of the same object type (e.g., "put two cellphone in bed")
  • You need to track progress toward a quantity-based goal
  • Searching through multiple locations systematically

Core Workflow

1. Initialize Inventory

  • Parse the task description to identify:
    • Target object type (e.g., "cellphone")
    • Required quantity (e.g., "two" = 2)
    • Target receptacle (e.g., "bed 1")
  • Initialize counters: collected = 0, needed = <quantity>
  • Create empty list for searched locations

2. Systematic Search Pattern

Follow this search priority:

  1. Visible surfaces (desks, dressers, beds, countertops) - check first
  2. Closed containers (drawers, cabinets, safes) - open and inspect
  3. Less common locations (shelves, side tables, garbage cans)
  4. Return to known locations if inventory incomplete

Critical Rule: After finding an object, immediately place it at the target location before searching for the next one. Do not attempt to carry multiple objects simultaneously.

3. Action Decision Logic

Use this decision tree at each step:

Is target object visible in current observation?
├── YES → Take it, go to target receptacle, put it down
│         └── Increment collected counter
│             ├── collected == needed → TASK COMPLETE
│             └── collected < needed → Continue searching
└── NO → Have all receptacles been searched?
          ├── YES → Revisit receptacles (objects may have been missed)
          └── NO → Go to next unsearched receptacle

4. Per-Object Cycle

For each object instance found, follow this exact sequence:

  1. take {object} from {current_receptacle}
  2. go to {target_receptacle}
  3. put {object} in/on {target_receptacle}
  4. Update counter: collected += 1
  5. If collected < needed, navigate to next unsearched receptacle

Example

Task: "Put two cellphone in bed 1."

> go to desk 1
On the desk 1, you see a cellphone 2, a pen 1.
> take cellphone 2 from desk 1
You pick up the cellphone 2 from the desk 1.
> 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.
[collected: 1/2]
> go to dresser 1
On the dresser 1, you see a cellphone 3, a keychain 1.
> take cellphone 3 from dresser 1
You pick up the cellphone 3 from the dresser 1.
> go to bed 1
On the bed 1, you see a cellphone 2, a pillow 1.
> put cellphone 3 in/on bed 1
You put the cellphone 3 in/on the bed 1.
[collected: 2/2 — TASK COMPLETE]

Error Handling

  • Object not at expected location: Mark location as searched, proceed to next receptacle
  • "Nothing happened": The action syntax may be wrong; verify object name and receptacle
  • Counter mismatch: Re-examine the target receptacle to confirm how many objects are already placed

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 Inventory Management AI skill do?

Use when the agent must collect and track multiple instances of the same object type in ALFWorld (e.g., "put two cellphone in bed"). This skill maintains a count of collected versus needed objects, guides systematic searching through receptacles, and ensures each found object is placed at the target before searching for the next.

Why use Alfworld Inventory Management on TypingMind?

Because you install it once and use it with any model. Alfworld Inventory Management 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 Inventory Management in TypingMind?

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

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 Inventory Management?

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

Is the Alfworld Inventory Management 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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