media-crawler-bilibili
Collect Bilibili video and creator evidence with MediaCrawler through search, exact BV detail, comments, dynamics, contacts, and optional media. Use for topic, format, title, creator, or audience research with explicit time-range and quality controls.
npx skills add tsingyuai/growth-lab --skill media-crawler-bilibili --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.
# Bilibili collection Follow [media-crawler](../media-crawler/SKILL.md). Define purpose, query/BV/creator inputs, date window, sample target, desired quality, comments/media scope, and invoking Model Memory destination. Search with `--platform bili --type search`. Configure `START_DAY`, `END_DAY`, `BILI_SEARCH_MODE`, and conservative `MAX_NOTES_PER_DAY` in `config/bilibili_config.py`. Shortlist by relevance, content format, recency, creator fit and engagement—not raw plays alone. Put full video URLs or BV numbers in `BILI_SPECIFIED_ID_LIST`; put Space URLs or UIDs in `BILI_CREATOR_ID_LIST`. Use detail/creator mode respectively. If downloading video, explicitly select `BILI_QN` compatible with account/video access and disclose that requested quality may be unavailable. `CREATOR_MODE`, contacts and dynamics limits are separate from content comments; record which were enabled. Deduplicate by BV, preserve query provenance, verify files, and stop on auth/risk control. Return inputs, config window/mode/quality, raw/copied paths, counts and coverage, time, commit, partial failures, and selection rationale.
What does the media-crawler-bilibili skill do?
Collect Bilibili video and creator evidence with MediaCrawler through search, exact BV detail, comments, dynamics, contacts, and optional media. Use for topic, format, title, creator, or audience research with explicit time-range and quality controls.
How do I install it?
Run `npx skills add tsingyuai/growth-lab --skill media-crawler-bilibili --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.