| name | scienceworld-living-entity-identifier |
| description | Analyzes room observations to identify potential living things (e.g., eggs, plants, animals) among listed objects. Processes observation text, flags candidate living items based on domain knowledge, and outputs a focused target for subsequent actions. |
Skill: Living Entity Identifier
Purpose
Use this skill when the task involves finding, focusing on, or interacting with a "living thing," "biological entity," "organism," or similar target. The skill analyzes the textual observation of a room to identify candidate objects that are likely to be living or contain life (e.g., eggs, plants, animals).
Core Logic
- Trigger: The task description mentions a living entity.
- Analyze: Parse the current room's observation text.
- Identify: Flag objects from a known list of living entity indicators (see
references/living_indicators.md).
- Output: Select the most suitable candidate and formulate the next action (typically
focus on [TARGET] or examine [TARGET]).
Primary Workflow
- Look Around: First, use
look around to get the room's observation text.
- Run Analysis: Process the observation using the logic in
scripts/analyze_observation.py.
- Execute Focus: If a candidate is found, perform
focus on [IDENTIFIED_OBJECT].
- Handle Inventory/Transport: If the task requires moving the entity, proceed with
pick up and move actions to the specified destination.
Key Rules
- Prioritize explicit living things (e.g., "dove egg," "giant tortoise") over ambiguous substances (e.g., "air," "water").
- If the initial room lacks candidates, teleport to rooms with higher biological likelihood (e.g.,
outside, greenhouse, bedroom).
- The
focus on action is critical for signaling task progress. Use it immediately after identification.
