alfworld-environment-scanner
Performs an initial scan of the ALFWorld environment to identify all visible objects and receptacles. Use when you first enter an environment and need to build a mental map for task planning. Processes raw observation text into a structured list of entities, categorizing them as objects or receptacles.
npx skills add zjunlp/SkillNet --skill alfworld-environment-scanner --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Instructions ## Primary Objective Execute an initial environmental scan at the start of any Alfworld task. Your goal is to systematically identify and catalog all objects and receptacles mentioned in the initial observation text. ## Core Workflow 1. **Trigger:** This skill is triggered immediately upon receiving the initial environment description from the simulator (e.g., "You are in the middle of a room. Looking quickly around you, you see..."). 2. **Parse & Extract:** Process the raw observation text. Extract every noun phrase that represents a physical entity (object or receptacle). Note the naming convention (e.g., "armchair 2", "diningtable 1"). 3. **Categorize:** Mentally categorize each entity. A **receptacle** is a surface or container that can hold other objects (e.g., `sofa`, `sidetable`, `diningtable`, `dresser`). An **object** is an item that can be manipulated (e.g., `laptop`, `creditcard`, `pillow`). Some entities (like `ottoman`) can be both depending on context. 4. **Output Structured Mental Map:** Formulate a clear, concise internal summary. Do not output this summary to the simulator—it is for your planning use only. * **Format:** `Scan Complete. Receptacles: [
- Primary Objective
- Core Workflow
- Execution Rules
- Example from Trajectory
What does the alfworld-environment-scanner skill do?
Performs an initial scan of the ALFWorld environment to identify all visible objects and receptacles. Use when you first enter an environment and need to build a mental map for task planning. Processes raw observation text into a structured list of entities, categorizing them as objects or receptacles.
How do I install it?
Run `npx skills add zjunlp/SkillNet --skill alfworld-environment-scanner --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.