The answer
Air fryers are heating up: the last week was 22% above the first, with a peak of 48.3 million on 1 November. Pre-made meals are cooling: down 19% after peaking on 19 October.
See whether a topic is rising or cooling inside WeChat, and how people phrase it, before you write about it.
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空气炸锅 (air fryer) and 预制菜 (pre-made meals), 8 October to 6 November.
Air fryers are heating up: the last week was 22% above the first, with a peak of 48.3 million on 1 November. Pre-made meals are cooling: down 19% after peaking on 19 October.
Mostly autumn recipes: roasted sweet potato, potatoes, chicken wings, peanuts, lamb chops, and full "recipe collection" searches.
空气炸锅烤红薯,流蜜的秘诀是这一步 一台空气炸锅,搞定整个冬天的下酒菜 空气炸锅食谱大全:秋冬 10 道
From a real run on 2026-11-07.
An Agent that can read the complete Skill folder. Live research also needs a SandBase connection; supplied material can be used without a lookup. The WeChat Index is a paid call, about $0.11 per keyword.
Download and unpack the complete Skill folder, keep its references, and use it with a local Agent that supports Skills.
Use wechat-index-trend for 空气炸锅 and 预制菜. Tell me which is rising on WeChat, when each peaked, how people search for the rising one, and give three titles.
Pull 30 days of WeChat Index for each keyword.
Compare the first and last week and note the peak.
Group WeChat’s search suggestions and turn them into titles.
Download and unpack the whole Skill folder, including references, into your Agent’s supported Skill directory. You can also ask the Agent to read its SKILL.md and follow the instructions. Run it locally with your own material.
No. It is WeChat’s own score combining searches and reading, comparable in direction and rough size.