Bilibili RAG Local bridges Claude Code with a local RAG (Retrieval-Augmented Generation) service to turn your Bilibili collections into an interactive encyclopedia. By leveraging speech-to-text transcriptions and vector indexing, it allows users to perform deep semantic searches and conversational Q&A across their saved videos. The skill handles complex session management, folder-specific filtering, and provides direct source attribution with video titles and URLs, ensuring that your 'saved for later' content becomes an actionable personal knowledge resource.
主要功能
01Real-time folder synchronization and indexing status monitoring
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03Multi-folder scoped search and session-based Q&A
04Speech-to-text transcription retrieval and vector indexing
05Precise source attribution with titles, URLs, and BVIDs
06Local RAG service integration for Bilibili favorites
使用场景
01Tracking the original source and timestamp of facts in a video collection
02Finding specific information hidden within dozens of saved videos
03Summarizing key takeaways from technical tutorials or lectures