media-crawler-douyin
Collect Douyin competitive evidence with MediaCrawler using keyword search, exact video detail, comments, media, and creator profiles. Use for trend, hook, format, audience-language, or creator research that needs reproducible raw evidence and a documented selection method.
npx skills add tsingyuai/growth-lab --skill media-crawler-douyin --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.
# Douyin collection Follow [media-crawler](../media-crawler/SKILL.md). Require purpose, keywords/links, sample size, date window, comments/media scope, and destination under the invoking Model's Memory. Build queries across problem, category, and audience. Run `--platform dy --type search` serially; shortlist on topical relevance, hook/format diversity, recency and engagement. Search cards are discovery evidence only. For exact enrichment, set `DY_SPECIFIED_ID_LIST` in `config/dy_config.py`; it accepts full video URLs, URLs containing `modal_id`, short links, or video IDs. For creators set `DY_CREATOR_ID_LIST` to profile URLs or `sec_user_id`, then use `--type creator`. `PUBLISH_TIME_TYPE` controls the upstream publish-time filter. Enable comments or `ENABLE_GET_MEIDAS` only for the shortlist, then run `--type detail`. Verify canonical video ID, author, caption, publish time, engagement, media mapping, comment coverage and any truncation. Deduplicate by video ID and retain the discovery query. Stop on login/risk control; never loop retries. Return raw/copied paths, query and selection rationale, search/detail/creator counts, comment/media coverage, time and upstream commit.
What does the media-crawler-douyin skill do?
Collect Douyin competitive evidence with MediaCrawler using keyword search, exact video detail, comments, media, and creator profiles. Use for trend, hook, format, audience-language, or creator research that needs reproducible raw evidence and a documented selection method.
How do I install it?
Run `npx skills add tsingyuai/growth-lab --skill media-crawler-douyin --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 tsingyuai/growth-lab, a repository with 427 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.