scienceworld-target-locator

This skill determines the most likely location for a target object based on domain knowledge and environmental clues. Trigger this 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.

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/scienceworld-target-locator

SKILL.md

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.

Core Logic

Analyze the Target: Classify the target object based on its type (e.g., animal, tool, container, chemical).
Consult Domain Knowledge: Use the bundled reference (target_location_heuristics.md) to map the object type to the most probable room(s) in the ScienceWorld environment.
Evaluate Current Context: Briefly review the recent look around observation. If doors to high-probability rooms are visible and open, prioritize them.
Output Decision: Output a single, clear teleport to LOC action command, choosing the most promising location to search next.

Primary Instruction: Do not overthink. Rely on the heuristics. The goal is to make an efficient, educated guess to continue the search.

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