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why20261/tiktok-yunying-zhushou

A comprehensive TikTok operations tool that supports viral title generation, trending topic discovery, audience analysis, and data extraction with structured JSON output.

What is tiktok-yunying-zhushou?

This skill is a one-stop TikTok operations assistant for developers, content creators, and social media analysts. It provides three core capabilities: keyword-based video search (with sorting by likes/relevance and filtering by publish time), batch retrieval of public videos from a creator's profile (by profile link or username, sorted by latest or most popular), and extraction of video comments (by video link or ID, including comment content, commenter info, and engagement data). All data is returned as structured JSON containing author details, interaction metrics, hashtags, and links. It is particularly useful for competitive analysis, benchmarking against similar accounts, short-video topic research, sentiment analysis on comments, trend tracking, and viral content discovery. The skill supports TikTok data scenarios such as searching videos, scraping creator works, reading comments, and monitoring competitors. Trigger keywords include: TikTok search, TikTok comments, TikTok works, creator works, benchmark accounts, TikTok competitive analysis, TikTok data analysis, short-video operations, TikTok sentiment monitoring, trend tracking, viral content mining.

Works with~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/why20261/tiktok-yunying-zhushou/tree/main
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What does tiktok-yunying-zhushou do?

A comprehensive TikTok operations tool. It supports viral title generation, trending topic discovery, audience analysis, and other scenarios for obtaining TikTok operations data, providing three capabilities: ① Keyword search (sortable by likes/relevance and filterable by publish time) ② Retrieval of creator's profile videos — batch fetch public video lists by profile link or username, with support for sorting by latest or most popular ③ Video comment extraction — get comment content, commenters, and interaction data by video link or video ID

Outputs structured JSON (including author, interaction data, tags, links). Use this when you need to search TikTok videos, scrape a creator's works, view TikTok comments, monitor competitors/benchmark accounts, conduct short-video topic research, perform comment sentiment analysis, track trends, or discover viral content.

Trigger words: TikTok search, TikTok comments, TikTok works, creator works, benchmark accounts, TikTok competitive analysis, TikTok data analysis, short-video operations, TikTok sentiment monitoring, trend tracking, viral content mining, tiktok search, tiktok work, douyin comments.

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