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Use when optionally installing or using NotebookLM CLI as an external Google-account source-grounded research workspace for PDFs, URLs, YouTube, manuals, and reference packs; not core Hermes memory.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | notebooklm |
| description | Use when optionally installing or using NotebookLM CLI as an external Google-account source-grounded research workspace for PDFs, URLs, YouTube, manuals, and reference packs; not core Hermes memory. |
| version | 0.1.0 |
| author | Hermes Agent |
| license | MIT |
| metadata | {"hermes":{"tags":["notebooklm","rag","research","documents","optional"],"related_skills":["hermes-memory-stack","llm-wiki"]}} |
NotebookLM is optional. It requires a Google account and manual browser login. It is useful for source-grounded research over PDFs, URLs, YouTube videos, manuals, and reference packs.
It is not Hermes memory and should not replace Hindsight, skills, Axiom, or llmwiki.
Only install if the user opts in:
uv tool install --with 'notebooklm-py[cookies]' 'notebooklm-py[browser]' notebooklm-py --force
uvx --from playwright playwright install chromium
The installer must not bundle Google cookies or auth state. The user logs in manually:
notebooklm login
notebooklm auth check --test --json
notebooklm list --json
Do not upload API keys, tokens, secrets, private credentials, or sensitive personal/company data unless the user explicitly authorizes it and understands NotebookLM is an external service.
notebooklm --version works.notebooklm login manually.notebooklm auth check --test --json passes.Use when installing, configuring, or explaining the Hermes Memory Stack: a layered optional memory/input bootstrap for Hermes Agent with skills, Axiom Perception MCP, llmwiki, Hindsight routing, optional semble_rs, and optional NotebookLM.
Use when installing or using Axiom Perception MCP as a procedural execution-pattern cache for Hermes Agent UI, browser, and desktop workflows.
Use when configuring or using llmwiki as a shared agent knowledge base, including API-free markdown mode, OpenAI-compatible extraction, local/OAuth bridge extraction, and optional embedding endpoints.
Use when optionally installing or using semble_rs for semantic codebase exploration, dependency/impact hints, and compact build/test/CI log digests inside Hermes workflows.