Individual skill
notebooklm-grounded-research
Use when: NotebookLM, notebooklm MCP, large documentation sets, courses, books, papers, or citation-backed research are mentioned. Retrieves a small grounded answer from a stable corpus, preserves citations, and verifies claims against primary documentation, repository code, and tests. Do not use when: the answer is already in a small local file, the source is rapidly changing, or a live runtime/test is the authority.
skills/ai-ml/notebooklm-grounded-research/SKILL.md
Source commit 849719987d9c0d6ed973bdbce8ed37b266d3b1f3
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- Matches the observed repository HEAD
- Yes
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- No
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- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 7, 2026
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Repository context
- Repository stars (not skill ratings)
- 214
- Repository last updated
- Nov 7, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- claude Repository topic
- claude-code Repository topic
- llm Repository topic
- machine-learning Repository topic
- prompt-engineering Repository topic
- skills Repository topic
- mcp Repository topic
- agent-harness Repository topic
- harness Repository topic
- testing Derived category
- docs Derived category
- research Derived category
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SKILL.mdcore · 9,583 bytesSKILL.mdcore · 9,583 bytesSKILL.mdcore · 9,583 bytesSKILL.mdcore · 9,583 bytesSKILL.mdcore · 9,583 bytesSKILL.mdcore · 9,583 bytesSKILL.mdcore · 9,583 bytesSKILL.mdcore · 9,583 bytesSKILL.mdcore · 9,583 bytesSKILL.mdcore · 9,583 bytesreferences/workflow.mddoc · 2,740 bytesscripts/verify_notebooklm_setup.pyruns · 4,160 bytes
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# NotebookLM Grounded Research
## Purpose
Use this skill when a large, relatively stable corpus is useful but loading the
whole corpus into the working context would be wasteful. Ask NotebookLM a
specific question, keep the answer and citations small, and use the result as
research input for a separately verified implementation.
This skill is appropriate for books, course notes, long manuals, papers, and
user-provided project documentation. It is not a replacement for current
official API documentation, source code, tests, security evidence, or live
runtime checks.
