Individual skill

scienceworld-living-entity-identifier

Analyzes room observations to identify potential living things (e.g., eggs, plants, animals) among listed objects. Use this skill when a task involves finding, focusing on, or interacting with a living thing, biological entity, or organism. Processes observation text, flags candidate living items based on domain knowledge, and outputs a focused target for subsequent actions like focus on or pick up.

experiments/src/skills/scienceworld/scienceworld-living-entity-identifier/SKILL.md

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Last checked: Nov 7, 2026

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Repository stars (not skill ratings): 1,450
Repository last updated: Nov 2, 2026
License: MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

ai-agents Repository topic
ai-skills Repository topic
artificial-intelligence Repository topic
knowledge-graph Repository topic
large-language-models Repository topic
natural-language-processing Repository topic
openkg Repository topic
skills Repository topic
skillnet Repository topic
engineering Derived category

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SKILL.mdcore · 2,125 bytes
references/action_sequences.mddoc · 143 bytes
references/living_indicators.mddoc · 1,941 bytes

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# Skill: Living Entity Identifier

## Purpose
Identify living things (eggs, plants, animals) from room observations and focus on them for task progression.

## Core Workflow
1. **Survey Room:** `look around` to get the observation text listing all objects.
2. **Identify Candidates:** Scan the object list for living entity indicators:
   - **Animals:** dove, giant tortoise, bee, frog, fish
   - **Eggs:** dove egg, chicken egg, turtle egg
   - **Plants:** flower, tree, moss, fern, algae
   - **Other biological:** mushroom, seed, pollen
3. **Focus on Target:** `focus on [IDENTIFIED_OBJECT]` to signal task progress.
4. **Transport (if needed):** `pick up [OBJECT]` then `move [OBJECT] to [CONTAINER]`.