Scienceworld Ambiguous Action Resolution logo

Scienceworld Ambiguous Action Resolution

OrganizationPopular
zjunlp
scienceworld-ambiguous-action-resolution

Use when the ScienceWorld environment returns an "Ambiguous request" prompt with a numbered list of identical action options. This skill resolves the disambiguation by selecting the lowest available number (typically 0) to proceed, ensuring task progression when multiple identical object instances exist and the system cannot automatically determine which instance to act upon.

Overview

Publisherzjunlp
RepositorySkillNet
Skill namescienceworld-ambiguous-action-resolution
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 Scienceworld Ambiguous Action Resolution 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/scienceworld/scienceworld-ambiguous-action-resolution
  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/scienceworld/scienceworld-ambiguous-action-resolution .claude/skills/scienceworld-ambiguous-action-resolution
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Scienceworld Ambiguous Action Resolution 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 Scienceworld Ambiguous Action Resolution 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 Scienceworld Ambiguous Action Resolution 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: scienceworld-ambiguous-action-resolution

Purpose

Resolve system disambiguation prompts that block task progression when the ScienceWorld environment cannot determine which identical object instance the agent intends to act upon. This is a mechanical bypass, not a decision-making step.

When to Use

  • When the environment returns an observation containing "Ambiguous request: Please enter the number for the action you intended (or blank to cancel):" followed by a numbered list
  • When multiple identical object instances exist (e.g., five identical banana seeds in a jar) and the system requires explicit selection
  • Only when options are functionally identical -- do NOT use this skill for menu selections where options have different meanings

Workflow

  1. Recognize the prompt -- Identify the exact phrase: "Ambiguous request: Please enter the number for the action you intended (or blank to cancel):".
  2. Scan the options -- Confirm that the listed options (0, 1, 2...) are functionally identical, referring to different instances of the same object.
  3. Select the lowest number -- Choose 0 (the first option) to proceed. Any valid selection will produce the same result.
  4. Execute -- Output the selected number as the next action.

Examples

Example 1: Moving one of several identical banana seeds

Observation:

Ambiguous request: Please enter the number for the action you intended (or blank to cancel):
0: move banana seed (in seed jar, in inventory, in agent, in greenhouse) to flower pot 1 (in greenhouse)
1: move banana seed (in seed jar, in inventory, in agent, in greenhouse) to flower pot 1 (in greenhouse)
2: move banana seed (in seed jar, in inventory, in agent, in greenhouse) to flower pot 1 (in greenhouse)

Action:

> 0

The system proceeds with moving one banana seed to flower pot 1.

Example 2: Picking up one of several identical items

Observation:

Ambiguous request: Please enter the number for the action you intended (or blank to cancel):
0: pick up red wire (on table, in workshop)
1: pick up red wire (on table, in workshop)

Action:

> 0

Key Principles

  • Efficiency -- Do not overthink; the objects are identical and any choice is valid.
  • Consistency -- Always default to 0 unless task logic specifically requires a different instance.
  • Scope -- This skill is strictly a disambiguation mechanic, not a decision-making process.

Anti-Patterns

  • Do NOT use for non-ambiguous choices where options have different meanings.
  • Do NOT trigger if the observation does not contain the exact "Ambiguous request" phrase.
  • Do NOT waste steps analyzing differences between identical instances.

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 Scienceworld Ambiguous Action Resolution AI skill do?

Use when the ScienceWorld environment returns an "Ambiguous request" prompt with a numbered list of identical action options. This skill resolves the disambiguation by selecting the lowest available number (typically 0) to proceed, ensuring task progression when multiple identical object instances exist and the system cannot automatically determine which instance to act upon.

Why use Scienceworld Ambiguous Action Resolution on TypingMind?

Because you install it once and use it with any model. Scienceworld Ambiguous Action Resolution 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 Scienceworld Ambiguous Action Resolution in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zjunlp/SkillNet/tree/main/experiments/src/skills/scienceworld/scienceworld-ambiguous-action-resolution. 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 Scienceworld Ambiguous Action Resolution?

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 Scienceworld Ambiguous Action Resolution?

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

Is the Scienceworld Ambiguous Action Resolution 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

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇