scienceworld-material-classifier
This skill makes a determination about a material's property (e.g., conductivity) based on environmental cues or domain knowledge when direct testing fails. Trigger it when experimental actions are invalid or unavailable, requiring a logical inference. It uses observed object properties and common-sense reasoning to classify the material and decide its final disposition.
npx skills add zjunlp/SkillNet --skill scienceworld-material-classifier --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.
# Material Classification Skill ## When to Use Activate when direct experimental testing of a material property (conductivity, magnetism, etc.) fails or equipment is unavailable, and you need to classify the material by inference to complete a sorting task. ## Procedure 1. `focus on <OBJECT>` — identify the target and note its material composition. 2. Attempt direct testing if equipment exists (e.g., `connect <OBJECT> terminal 1 to <WIRE> terminal 2`). 3. If testing fails, infer the property from the object's material. Consult `references/material_properties.md` for lookup. 4. `move <OBJECT> to <CONTAINER>` — place in the appropriate classification container. 5. `look at <CONTAINER>` — verify the object was placed correctly. ## Example **Task:** Classify a glass jar for electrical conductivity when the circuit test is unavailable. 1. `focus on glass jar` 2. `connect glass jar terminal 1 to yellow wire terminal 2` — action fails (invalid connection). 3. Inference: glass is an electrical insulator → non-conductive. 4. `move glass jar to orange box` 5. `look at orange box` — observation: "containing a glass jar" — classification complete.
- When to Use
- Procedure
- Example
What does the scienceworld-material-classifier skill do?
This skill makes a determination about a material's property (e.g., conductivity) based on environmental cues or domain knowledge when direct testing fails. Trigger it when experimental actions are invalid or unavailable, requiring a logical inference. It uses observed object properties and common-sense reasoning to classify the material and decide its final disposition.
How do I install it?
Run `npx skills add zjunlp/SkillNet --skill scienceworld-material-classifier --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.