What happened
It got 241,691 plays. A third of the people who liked it also saved it (1,119 saves for 3,345 likes). That happens when viewers plan to cook from the video.
Take one Douyin video apart: real plays, the spoken script, how a placement was worked in, and what the comments say.
v0.1.1
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We broke down a 2-minute rib recipe by 周幺姑家常菜 that carries a seasoning placement.
It got 241,691 plays. A third of the people who liked it also saved it (1,119 saves for 3,345 likes). That happens when viewers plan to cook from the video.
She first names a problem: people do not know how to season ribs. The seasoning arrives as the answer and replaces several steps, so the recipe keeps going. Exact amounts (one 180 g pack for 2.5–3 jin of ribs, 20 minutes to marinate, 35 minutes to steam) make it worth saving.
1. Promise: "<dish> is easier than <method A> and tastier than <method B>". 2. Earn trust with real market prices. 3. Share one prep tip people do not know. 4. Name the problem, then show the product as the shortcut. 5. Give exact cooking times and end on the finished dish.
From a real run on 2026-11-05.
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 transcript uses a paid speech-to-text model through SandBase.
Download and unpack the complete Skill folder, keep its references, and use it with a local Agent that supports Skills.
Use douyin-video-breakdown on this Douyin video. Give me the real play count, the transcript and its structure, how the product placement is introduced, what the comments say, and a script skeleton I can reuse.
Read the detail and the statistics call, which carries the real play count.
Run speech-to-text on the original audio track and mark doubtful dialect words.
Label hook, steps, placement and close; tag purchase intent and questions in the comments.
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 machine speech recognition; dialect speech produces wrong characters, which the report marks.