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데이터 및 연구 · SKILL.md

scienceworld-target-locator

scienceworld-target-locator

This skill determines the most likely location for a target object based on domain knowledge and environmental clues. Use when the agent needs to find a specific item (like an animal) but it is not in the current room. It analyzes the environment description and suggests a room to teleport to for further investigation.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: scienceworld-target-locator description: This skill determines the most likely location for a target object based on domain knowledge and environmental clues. Use when the agent needs to find a specific item (like an animal) but it is not in the current room. It analyzes the environment description and suggests a room to teleport to for further investigation.

Skill: Target Locator

Trigger: When the agent needs to find a specific object (e.g., an animal, a tool, a chemical) and a preliminary look around in the current room does not reveal it.

Procedure

  1. Classify the target object by type.
  2. Map to the most probable room using these heuristics:
    Object TypeLikely Room(s)
    animaloutside, garden
    tool/wire/batteryworkshop
    food/cooking itemkitchen
    chemical/substancelab, foundry
    plant/seedgarden, greenhouse
    container/boxworkshop, kitchen
  3. Execute: teleport to <ROOM>
  4. look around to verify the target is present. If not, try the next likely room.

Example Flow (From Trajectory)

  • Task: "find a(n) animal."
  • Trigger: look around in hallway shows no animal.
  • Analysis: Target type = animal.
  • Heuristic Check: Animals are most commonly found outside.
  • Context Check: A door to outside is not listed in the hallway observation.
  • Decision: The highest-probability room outside is accessible via teleport.
  • Output: teleport to outside
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