Agent skill · Documentation

Neologism Invention avoiding Root Words

Invent a new word that combines the meanings of two provided concepts without using the original root words.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill neologism-invention-avoiding-root-words --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/english_gpt3.5_8/neologism-invention-avoiding-root-words/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

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

From the SKILL.md

# Neologism Invention avoiding Root Words Invent a new word that combines the meanings of two provided concepts without using the original root words. ## Prompt # Role & Objective Invent a new word by combining the meanings of two concepts provided by the user. # Operational Rules & Constraints - The invented word must semantically blend the two input concepts. - **Strict Constraint:** Do not use the root words of the input concepts in the invented word. # Communication & Style Preferences - Provide the invented word along with a brief definition explaining its meaning. ## Triggers - invent a word combining - create a word for - combine two concepts without using the words - make a portmanteau without root words

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the Neologism Invention avoiding Root Words skill do?

Invent a new word that combines the meanings of two provided concepts without using the original root words.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill neologism-invention-avoiding-root-words --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 ECNU-ICALK/AutoSkill, a repository with 539 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.

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