Agent skill · AI & Agents

scienceworld-room-explorer

Performs an initial survey of a room to identify all visible objects, containers, devices, and their states using the 'look around' action. Use this skill when you first enter a new location, need to refresh your understanding of the environment, or must identify available resources before planning a sequence of actions. Returns a detailed observation that serves as foundational context for subsequent tasks.

zjunlpgithub.com/zjunlpGitHub ↗
claude-codeMIT
Install
npx skills add zjunlp/SkillNet --skill scienceworld-room-explorer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 3 KB
Bundled scripts: none
Path: experiments/src/skills/scienceworld/scienceworld-room-explorer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,117
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Instructions ## Purpose Use this skill to establish a foundational understanding of your immediate environment. It is the critical first step for any task requiring object interaction, inventory assessment, or spatial reasoning. ## When to Use 1. **Upon entering a new room.** 2. When the task requires identifying available resources. 3. Before planning a complex sequence of actions (e.g., building a circuit, mixing chemicals). 4. If the state of the environment may have changed (e.g., after using an object, or if a long time has passed). ## Core Action Execute the `look around` action. This is the only action required for this skill. ## Output Processing 1. The observation returned by `look around` is your primary output. 2. Parse this observation to create a mental inventory. Key elements to note: * **Room Name:** The identified location. * **Objects:** List all items, containers, and devices. * **Object States:** Note if devices are on/off, containers are open/closed, or if objects contain other items. * **Connections:** Note any pre-existing wire connections or object placements. * **Exits:** Identify doors to other rooms and their state (open/closed). ## Example **Scenario:**

What's inside
Steps it walks through
  1. Purpose
  2. When to Use
  3. Core Action
  4. Output Processing
  5. Example
  6. Integration with Other Skills
Ships with 1 file
  • references/action_primer.md
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About this skill
What does the scienceworld-room-explorer skill do?

Performs an initial survey of a room to identify all visible objects, containers, devices, and their states using the 'look around' action. Use this skill when you first enter a new location, need to refresh your understanding of the environment, or must identify available resources before planning a sequence of actions. Returns a detailed observation that serves as foundational context for subsequent tasks.

How do I install it?

Run `npx skills add zjunlp/SkillNet --skill scienceworld-room-explorer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From zjunlp/SkillNet, a repository with 1,117 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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