media-crawler-weibo
Collect Weibo posts and creator evidence with MediaCrawler using search, exact post IDs, comments, optional media, and creator IDs. Use for discourse, trend, messaging, audience-language, or account research requiring preserved provenance and risk-aware detail enrichment.
npx skills add tsingyuai/growth-lab --skill media-crawler-weibo --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.
# Weibo collection Follow [media-crawler](../media-crawler/SKILL.md). Define research purpose, keywords/post IDs/creator IDs, sample and time bounds, comments/media scope, and invoking Model Memory destination. Search with `--platform wb --type search`; set `WEIBO_SEARCH_TYPE` deliberately. Use direct problem, category and audience/event query variants, then shortlist by relevance, time, source/account fit, content form and engagement. Configure exact post IDs in `WEIBO_SPECIFIED_ID_LIST` and user IDs in `WEIBO_CREATOR_ID_LIST`; run detail/creator mode. `ENABLE_WEIBO_FULL_TEXT` makes extra detail requests and raises risk-control probability. Keep it off during broad discovery and enable it only for a small, explicit shortlist when full text is required. Treat repost text, original text and comments as different evidence. Deduplicate by post ID and preserve query provenance. Return exact inputs, full-text/comment/media flags, raw/copied paths, coverage, time, commit, selection rationale and risk-control/partial failures.
What does the media-crawler-weibo skill do?
Collect Weibo posts and creator evidence with MediaCrawler using search, exact post IDs, comments, optional media, and creator IDs. Use for discourse, trend, messaging, audience-language, or account research requiring preserved provenance and risk-aware detail enrichment.
How do I install it?
Run `npx skills add tsingyuai/growth-lab --skill media-crawler-weibo --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.