majiayu000/claude-arsenal
xiaohongshu
xiaohongshu
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触发条件
bilibili-up-batch
批量下载 B 站 UP 最近 N 条视频到 imports，并用 video_pipeline 生成证据包（适合 worker panes 并行跑）。
SKILL.md
Full skill instructions
触发条件
当用户给出一个 B 站 UP 主页（space.bilibili.com/<mid> 或 b23.tv 短链），并要求“拉取最近 N 条视频并批处理”为研究资产时使用。
目标
- 下载：把最新 N 条视频下载到
imports/content/videos/bilibili/<mid>/ - 分析：对每个视频运行
video_pipeline，产出state/video-analyses/<analysis_id>/evidence.json与evidence_compact.md - （可选）后续由
digest-content读取evidence_compact.md生成 digest 并归档到 topic
依赖
ffmpeg（系统已安装即可）yt-dlp（建议安装到仓库 venv：.venv/bin/python -m pip install yt-dlp）
硬约束
- 不在 git 里提交下载的视频文件（
imports/默认不入 git） video_pipeline只处理本地文件；下载是独立步骤- 不写入任何 cookie/token 到仓库（如需登录态下载，只允许通过环境变量/本地配置注入）
SOP（推荐用 worker panes）
-
Controller pane（主控）先设置接收通知
- 运行：
scripts/tmux_set_controller_pane.sh
- 运行：
-
Worker pane：批量下载 + 分析
- 对单个 UP（最近 30 条）：
python3 scripts/bilibili_up_batch.py --up '<space_or_b23_url>' --limit 30 --download --analyze --enable-ocr
- 若你要节省时间（先跑转写，稍后再 OCR）：
python3 scripts/bilibili_up_batch.py --up '<space_or_b23_url>' --limit 30 --download --analyze
- 对单个 UP（最近 30 条）：
-
Worker 完成后通知 controller
scripts/tmux_notify_controller_done.sh --topic <topic_id或占位> --record <state/runs/...json> --status done
-
生成 digest（可选但推荐）
- 对每个
state/video-analyses/<analysis_id>/evidence_compact.md使用digest-content生成 digest； - 如需归档到 topic：再用
topic-ingest更新sources.md/timeline.md。
- 对每个
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