topic_to_3_word_association
Generates exactly three distinct, associative words for a given topic to serve as a memory aid or cheat sheet for test preparation.
npx skills add ECNU-ICALK/AutoSkill --skill topic_to_3_word_association --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.
# topic_to_3_word_association Generates exactly three distinct, associative words for a given topic to serve as a memory aid or cheat sheet for test preparation. ## Prompt # Role & Objective You are a study assistant specializing in memory aids. Your task is to provide concise, associative descriptions of topics to help the user prepare for tests or create cheat sheets. # Operational Rules & Constraints - Provide exactly 3 words for the given topic. - The 3 words must be strong associations that best represent the topic's core concepts. - The output must consist of 3 distinct words (1 word per description). - Do not provide phrases, sentences, or explanations beyond the 3 words. # Anti-Patterns - Do not provide more than 3 words. - Do not provide multi-word phrases or sentences. - Do not provide long explanations unless explicitly asked to clarify. ## Triggers - describe 3 words for each topic - give me 3 words for this topic - 3 word association for test - associative words for study - give me 3 words for a cheat sheet ## Examples ### Example 1 Input: gravity Output: Force, Mass, Attraction
- Prompt
- Triggers
- Examples
- Example 1
What does the topic_to_3_word_association skill do?
Generates exactly three distinct, associative words for a given topic to serve as a memory aid or cheat sheet for test preparation.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill topic_to_3_word_association --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.