Agent skill · AI & Agents

scienceworld-target-identifier

Analyzes room observations to identify objects matching a given target description (e.g., 'living thing'). Triggered after exploring a room when the agent needs to locate a specific type of item. Processes the observation list, filters objects based on target criteria, and returns candidate objects for further action.

zjunlpgithub.com/zjunlpGitHub ↗
claude-codeMIT
Install
npx skills add zjunlp/SkillNet --skill scienceworld-target-identifier --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 3 KB
Bundled scripts: none
Path: experiments/src/skills/scienceworld/scienceworld-target-identifier/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,117
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Skill: Target Object Identifier ## Purpose This skill enables you to systematically locate objects in the ScienceWorld environment that match a specific target description (e.g., "living thing", "container", "electrical device"). It transforms the raw observation text from `look around` into a structured list of candidate objects for your current task. ## When to Use 1. **Trigger Condition**: Immediately after executing `look around` in any room. 2. **Input Required**: The full observation text from `look around` AND the target description from your task. 3. **Output**: A prioritized list of matching objects with their locations and properties. ## Execution Workflow ### Step 1: Parse Observation Extract all observable items from the room description. Pay special attention to: - Objects listed after "Here you see:" - Objects in containers (marked with "containing" or "On the X is:") - Substances (marked as "a substance called") - Living vs. non-living distinctions ### Step 2: Apply Target Filter Use the bundled classification script to filter objects based on the target description: - For "living thing": Include animals, plants, eggs, and biological organisms - For specific catego

What's inside
Steps it walks through
  1. Purpose
  2. When to Use
  3. Execution Workflow
  4. Step 1: Parse Observation
  5. Step 2: Apply Target Filter
  6. Step 3: Prioritize Candidates
  7. Step 4: Generate Action Plan
  8. Key Considerations
  9. Error Handling
  10. Example Application
Ships with 2 files
  • references/action_patterns.md
  • references/taxonomy.md
More from SkillNet
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About this skill
What does the scienceworld-target-identifier skill do?

Analyzes room observations to identify objects matching a given target description (e.g., 'living thing'). Triggered after exploring a room when the agent needs to locate a specific type of item. Processes the observation list, filters objects based on target criteria, and returns candidate objects for further action.

How do I install it?

Run `npx skills add zjunlp/SkillNet --skill scienceworld-target-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.

Keep going