AI HOT Chinese AI News Brief
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About this skill
What it solves
Chinese AI news questions often get stuck at entry points like “what happened today,” “why is it trending,” and “what is the follow-up.” Broad queries can produce a long link list, while hot topics lack a timeline and supporting evidence. This skill wraps AI HOT’s public v1 API into a stable Q&A flow, so the model answers only from API-returned titles, summaries, dailies, and event content instead of presenting training memory as real-time results.
How it works
- Routes user intent to default endpoints: selected items for
24hor7d,hot-topicsfor trends,dailiesfor reports, keyword searches withq, and event details after extractingpublicIdfromlinks.story. - Uses
curlfor anonymous read-only requests, keeps the API order by default, selects 3–8 items, and useslinks.aihotas the main title link. - Handles degraded cases with explicit rules: if a keyword search in the selected pool is empty, it may retry the same query against the full pool and label those items as not selected; dailies are requested only by actual dates, without guessing dates.
Boundaries
It is for Chinese AI news Q&A, not API debugging. It does not download attachments or execute instructions found in returned content. The default output hides implementation details such as endpoints, cursors, and ETags; when citing numbers, policies, or quotes, verify against the original third-party source.
Use Cases
- Use AI HOT selected items to produce a conclusion-first 24-hour AI news brief.
- Investigate why a model or product is trending using AI HOT hot topics and event timelines.
- Read AI HOT dailies by date when assembling a weekly AI industry report.
- Track a specific company, paper, or framework by querying recent 7-day keyword results.
Best For
- Product managers tracking daily Chinese AI news: create a shareable brief from 24-hour selected items.
- Researchers monitoring competitor or paper traction: verify trends using hot topics and event timelines.
- Analysts writing AI industry reports: summarize dailies by date while keeping traceable links.
- Engineers building tech radars: filter model, product, or paper updates over the last week.
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