Alfworld Receptacle Preparer

OrganizationPopular

zjunlp

alfworld-receptacle-preparer

This skill verifies and prepares a target receptacle for receiving an object. It is triggered before placing an item into a receptacle (e.g., a garbage can) to ensure the receptacle is accessible and suitable. The skill involves navigating to the receptacle, observing its state (e.g., open/closed, occupied), and performing any necessary preparatory actions like opening it, resulting in a ready-to-use target location.

Overview

Publisher	zjunlp
Repository	`SkillNet`
Skill name	`alfworld-receptacle-preparer`
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 Alfworld Receptacle Preparer 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/alfworld/alfworld-receptacle-preparer
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/alfworld/alfworld-receptacle-preparer

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/alfworld/alfworld-receptacle-preparer .claude/skills/alfworld-receptacle-preparer

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

Use it in TypingMind

Enable Alfworld Receptacle Preparer 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 Preparer 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 Preparer 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.

Instructions

Trigger: This skill is invoked when the agent's goal requires placing an object into a target receptacle (e.g., "put X in/on Y").

Core Procedure

Navigate: Use go to {target_receptacle} to move to the target receptacle's location.
Observe: Upon arrival, carefully read the environment's observation. It will describe the receptacle's state and any contents.
Analyze & Prepare: Based on the observation, determine if the receptacle is ready.
- Ready State: The receptacle is described as present and accessible (e.g., "On the garbagecan 1, you see a cd 1."). No further action is needed. Proceed to place the object.
- Blocked/Closed State: If the receptacle is closed, latched, or obstructed, use the appropriate action (open {recep}, toggle {obj} {recep}) to prepare it.
- Invalid Target: If the observation indicates the receptacle does not exist or cannot be interacted with ("Nothing happened"), you must abort this skill and re-plan your task strategy.
Confirm: After any preparatory action, observe the environment's feedback to confirm the receptacle is now ready.

Key Principles

Efficiency: This skill is a preparatory step. Do not spend turns searching for the object to be placed here. That is a separate "search" skill.
Context: The observation text is your only source of truth about the receptacle's state. Interpret it literally.
Idempotency: If the receptacle is already ready, this skill completes immediately with no action required beyond observation.

Example from Trajectory

Goal Context: "find two pen and put them in garbagecan." Skill Execution:

Thought: "I'll check the garbage can first to ensure it's open and ready to receive items."
Action: go to garbagecan 1
Observation: "On the garbagecan 1, you see a cd 1."
Analysis: The garbage can is present and accessible (a CD inside does not block new items). It is ready.
Outcome: Skill completes. The agent proceeds to put pen 3 in/on garbagecan 1.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/action_primer.md1 KB

Frequently asked questions

What does the Alfworld Receptacle Preparer AI skill do?

Why use Alfworld Receptacle Preparer on TypingMind?

Because you install it once and use it with any model. Alfworld Receptacle Preparer 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 Preparer 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-preparer. 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 Preparer?

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 Preparer?

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

Is the Alfworld Receptacle Preparer 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.

View all

Memory Reflect

vectorize-io

OrganizationPopular

Answer questions about history, habits and past decisions by reasoning over Hindsight memory. Use when asked what was decided about something, how something is usually done, what changed over time, or…

To Questionnaire

Turn a decision you can't fully answer into a questionnaire for someone else to fill in.

Wait What

Stop. That last message did not land: re-pitch it.

Get Search View Results

microsoft

OrganizationPopular

Get the current search results from the Search view in VS Code

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Instructions

Core Procedure

Key Principles

Example from Trajectory

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now