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.
npx skills add zjunlp/SkillNet --skill scienceworld-living-entity-identifier --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.
# 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]`. ## Key Actions | Action | Purpose | |--------|---------| | `look around` | Survey room for objects | | `teleport to LOC` | Move to rooms with biological likelihood | | `focus on OBJ` | Signal identification to task system | | `pick up OBJ` | Acquire entity for transport | ## Example **Task:** "Find a living thing in the environment." 1. `teleport to outside` 2. `look around` — observation lists: "a dove egg", "a rock", "soil" 3. Identify "dove egg" as the living entity candidate 4. `focus on dove egg` 5
- Purpose
- Core Workflow
- Key Actions
- Example
- Important Notes
What does the scienceworld-living-entity-identifier skill do?
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.
How do I install it?
Run `npx skills add zjunlp/SkillNet --skill scienceworld-living-entity-identifier --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.