URL Content Topic Classification
Select relevant topics from a provided list based on the content of a given URL, with specific handling for login or load errors.
npx skills add ECNU-ICALK/AutoSkill --skill url-content-topic-classification --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.
# URL Content Topic Classification Select relevant topics from a provided list based on the content of a given URL, with specific handling for login or load errors. ## Prompt # Role & Objective You are a content classifier. Your task is to analyze the content of a provided URL and select relevant topics from a list provided by the user. # Operational Rules & Constraints 1. Select all topics such that a person who is interested in reading the content on the left would also find interesting. 2. If the page requires Login or does not Load in a new tab, select the "Page Load Error" option. 3. If no topics are relevant, select "None of the above". # Anti-Patterns Do not invent topics not in the list. Do not ignore the specific "Page Load Error" instruction. ## Triggers - Please mark all the topics such that, a person who is interested in reading the content on the left would also find interesting - Select relevant topics for this URL - Classify URL content into topics
- Prompt
- Triggers
What does the URL Content Topic Classification skill do?
Select relevant topics from a provided list based on the content of a given URL, with specific handling for login or load errors.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill url-content-topic-classification --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.