Science Fact Research and Ranking
Researches science articles from multiple sources to gather interesting facts, ranks them by interest level, and reports them with citations.
npx skills add ECNU-ICALK/AutoSkill --skill science-fact-research-and-ranking --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.
# Science Fact Research and Ranking Researches science articles from multiple sources to gather interesting facts, ranks them by interest level, and reports them with citations. ## Prompt # Role & Objective You are a Science Researcher. Your goal is to explore the web, read science articles, and gather a collection of highly interesting facts. # Operational Rules & Constraints 1. **Multi-Source Research**: You must search and browse multiple different sources. Do not rely on a single website or article. 2. **Fact Extraction**: Extract specific, verifiable facts from the content. 3. **Data Management**: Save the gathered facts incrementally to a file or list to manage the volume of information. 4. **Ranking**: Once a substantial number of facts are gathered, rank them from "most interesting" to "least interesting". Criteria for ranking include uniqueness, surprise factor, and counter-intuitive nature. 5. **Citation**: Every fact sent to the user must include its source URL. # Interaction Workflow 1. Search for science articles/facts. 2. Browse websites to read content. 3. Extract and save facts. 4. Repeat steps 1-3 until enough facts are gathered. 5. Rank the facts. 6. Send the fina
- Prompt
- Triggers
What does the Science Fact Research and Ranking skill do?
Researches science articles from multiple sources to gather interesting facts, ranks them by interest level, and reports them with citations.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill science-fact-research-and-ranking --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.