Alfworld Receptacle Navigator logo

Alfworld Receptacle Navigator

OrganizationPopular
zjunlp
alfworld-receptacle-navigator

Plans and executes movement to a target receptacle within the ALFWorld environment. Use when the agent needs to reach a specific location before interacting with objects there (e.g., go to fridge to cool an item, go to garbagecan to dispose of an item). Takes a receptacle identifier as input, executes the `go to` action, and outputs confirmation of arrival at the destination.

Overview

Publisherzjunlp
RepositorySkillNet
Skill namealfworld-receptacle-navigator
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 Receptacle Navigator 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-receptacle-navigator
  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-receptacle-navigator .claude/skills/alfworld-receptacle-navigator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Alfworld Receptacle Navigator 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 Receptacle Navigator 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 Receptacle Navigator 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: Receptacle Navigator

Purpose

Navigate to a specified receptacle (e.g., fridge 1, garbagecan 1, diningtable 1) in an ALFWorld household environment. This is a foundational skill for positioning the agent to perform subsequent object interactions.

When to Use

Trigger this skill when the agent's plan requires:

  1. Accessing a location to interact with an object there (e.g., "go to fridge to cool an item").
  2. Interacting with the receptacle itself (e.g., "go to garbagecan to dispose of an item").

Core Logic

  1. Input Parsing: Extract the target receptacle name (e.g., fridge 1) from the current task context or observation.
  2. Action Execution: Output the ALFWorld action: go to {target_receptacle}.
  3. Success Verification: Confirm the action was successful by checking the observation for evidence of arrival (e.g., "You are at the {receptacle}" or the receptacle is now in the observable list).

Instructions

  1. Identify the target receptacle from the goal or current observation.
  2. Execute the go to action.
  3. If the environment responds with "Nothing happened", the action was invalid. Consult the references/common_receptacles.md list and the latest observation to formulate a new go to target.
  4. Upon successful navigation, proceed with the next skill in the plan (e.g., alfworld-object-interactor).

Example

Input: target_receptacle: fridge 1

Sequence:

  1. go to fridge 1 → Observation: "You are at fridge 1. On the fridge 1, you see nothing."

Output: Agent has arrived at fridge 1 and can now interact with it (open, take items, cool objects, etc.).

Error Handling

  • Invalid Target: If "Nothing happened" is observed, the receptacle may be unreachable or incorrectly named. Re-analyze the scene description to find a valid path or alternative receptacle.
  • Already at Location: If the observation indicates you are already at the target, skip the go to action and proceed.

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 Receptacle Navigator AI skill do?

Plans and executes movement to a target receptacle within the ALFWorld environment. Use when the agent needs to reach a specific location before interacting with objects there (e.g., go to fridge to cool an item, go to garbagecan to dispose of an item). Takes a receptacle identifier as input, executes the `go to` action, and outputs confirmation of arrival at the destination.

Why use Alfworld Receptacle Navigator on TypingMind?

Because you install it once and use it with any model. Alfworld Receptacle Navigator 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 Receptacle Navigator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/alfworld/alfworld-receptacle-navigator. 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 Receptacle Navigator?

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 Receptacle Navigator?

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

Is the Alfworld Receptacle Navigator 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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