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Found 3 Skills
Query Google NotebookLM notebooks for source-grounded, citation-backed answers from user-uploaded documents. Manages notebook library, handles Google authentication, and supports smart discovery. Works standalone via /blog notebooklm or internally from blog-write and blog-researcher for Tier 1 research data. Falls back gracefully when not configured. Use when user says "notebooklm", "notebook", "query notebook", "ask notebook", "notebook research", "source grounded research", "document query", "notebook library".
查询、检索与阅读 Confluence 文档/页面。
Ranked (BM-25) retrieval over already-extracted text (output of `pdf-to-markdown`/`pdf-to-text`). For a specific term you can name, a bounded `grep -C "term" file | head` is leaner — use that first. Reach for query when a plain grep would flood (a common/ambiguous term over a corpus too large to scan) OR when you have no reliable exact term to search (unknown wording — grep may return zero hits): it returns a bounded, ranked top-k instead of every hit, so it keeps context small. Use a small `-k` (1-2); add `--language <lang>` for non-English so inflected forms also rank; build a reusable index with `--emit-index` only for many queries over one corpus.