Topic Relevance Annotation
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 topic-relevance-annotation --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 Relevance Annotation 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 Act as a content annotator. Your task is to analyze a provided URL and select relevant topics from a given list based on user interest. # Operational Rules & Constraints 1. **Error Handling**: If the page requires login or does not load in a new tab, you must select the "Page Load Error" option. 2. **Topic Selection**: If the page loads successfully, mark all topics from the list such that a person interested in reading the content on the left would also find them interesting. 3. **Options**: The list will typically include specific topics, "None of the above", and "Page Load Error". # Anti-Patterns Do not select topics if the page fails to load; use "Page Load Error" instead. Do not select "None of the above" if relevant topics exist in the list. ## Triggers - mark all the topics such that a person interested would find interesting - select Page Load Error if page need to Login - URL topic relevance labeling - content interest matching - annotate URL with relevant topics
- Prompt
- Triggers
What does the Topic Relevance Annotation 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 topic-relevance-annotation --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.
