notebooklm
Skill65 starsChanged 3 months agoMITView on GitHub
Interact with Google NotebookLM (notebook.google.com) notebooks — chat with the AI, generate artifacts (slides, audio, video, mind maps, quizzes, flashcards, infographics, reports, data tables), manage sources (add URLs, YouTube, files, text), run research (fast/deep web research), and manage notes. Use whenever the user mentions NotebookLM, a notebook.google.com URL, audio overviews, or wants to query, create content from, or manage their notebook sources — even if they don't say "NotebookLM" explicitly.
69 other projects use a version of this.
Adopted by
Most recently taken up by
- LuisSambrano/antigravity-configtheir own version, first seen Nov 8, 2026
- delorenj/skillstheir own version, first seen Nov 7, 2026
- roomi-fields/notebooklm-skilltheir own version, first seen Nov 6, 2026
- TsinHzl/claude-code-configtheir own version, first seen Nov 1, 2026
- Mathews-Tom/armorytheir own version, first seen Nov 1, 2026
- m4yk3ldev/notebooklm-mcptheir own version, first seen Nov 1, 2026
Used with
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Other versions69 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 69
- teng-lin/notebooklm-py★ 20ksame name
- ArtemXTech/personal-os-skills★ 545same name
- sanjay3290/ai-skills★ 452same name
- Mathews-Tom/armory★ 340same name
- roomi-fields/notebooklm-mcp★ 229same name
- cclank/notebooklm-skill★ 140same name
- chendongqi/OPB-Skills★ 125same name
- walidboulanouar/Ay-Skills★ 90same name
- artemnovitckii/notebooklm-coach★ 61same name
- rainday/smart-blog-skills★ 35same name
59 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.
0
Common
Most of the 66 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 26
All commands run from this skill directory:
- Very specific: line 66
Every RPC call fetches a fresh CSRF token (SNlM0e) and session id (FdrFJe) from the app page, so nothing else needs refreshing.
“Common” is measured: kept by at least 6 in 10 of the 66 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
NotebookLM AI Plugin
Drive Google NotebookLM (https://notebook.google.com) from the terminal. Both
notebook.google.com and notebooklm.google.com notebook URLs are accepted.
Supports:
- Chat with Notebook AI (source-grounded Q&A with citations)
- Slide Deck generation (PPTX/PDF)
- Audio Overview (M4A — deep dive, brief, critique, debate formats)
- Video Overview (MP4 — auto, classic, whiteboard, kawaii, anime, watercolor, retro_print, heritage, paper_craft styles)
- Mind Map (JSON tree)
- Flashcards / Quiz (interactive HTML)
- Infographic (PNG — landscape, portrait, square; 11 visual styles)
- Report (Markdown — briefing doc, study guide, blog post, custom prompt)
- Data Table (CSV)
- Source management (add URLs, YouTube, files, pasted text; list, delete)
- Fast/Deep web research with auto-import
- Notes management (create, update, delete, list)
- Notebook library management (add, list, search, activate) + listing your account's notebooks
All commands run from this skill directory:
cd <skill-dir> # the folder containing SKILL.md
npx -y bun scripts/main.ts <command> [options]Quick start
# 1. Authenticate (opens Chrome for Google login; cookies are cached)
npx -y bun scripts/main.ts login
# 2. Check the session and see your notebooks (ids + source counts)
npx -y bun scripts/main.ts notebooks remote
# 3. Save one as the default
npx -y bun scripts/main.ts notebooks add https://notebook.google.com/notebook/<id> --name "My Research"
# 4. Use it
npx -y bun scripts/main.ts chat --question "What are the key findings?"
npx -y bun scripts/main.ts generate slide_deck --output slides.pdf
npx -y bun scripts/main.ts generate audio --format deep_dive --length long
npx -y bun scripts/main.ts generate quiz --difficulty medium --quantity more --output quiz.html
npx -y bun scripts/main.ts generate data_table --instructions "Compare the frameworks" --output table.csvAuthentication
login launches Chrome (with a dedicated profile under the data dir) and waits for
you to sign in at notebook.google.com, then captures the Google session cookies.
Cookies expire after a few weeks; any command that hits a login redirect tells you to
run login --force.
npx -y bun scripts/main.ts login # reuse cached cookies if still valid
npx -y bun scripts/main.ts login --force # always re-open Chrome
npx -y bun scripts/main.ts notebooks remote # fast auth check: lists notebooks from your accountEvery RPC call fetches a fresh CSRF token (SNlM0e) and session id (FdrFJe) from the
app page, so nothing else needs refreshing. If the origin changes again, set
NOTEBOOKLM_BASE_URL (or edit scripts/constants.ts).
Commands
Notebook management
npx -y bun scripts/main.ts notebooks remote # notebooks on your Google account (live)
npx -y bun scripts/main.ts notebooks list # local library
npx -y bun scripts/main.ts notebooks add <url> [--name <name>] [--description <desc>] [--topics <t1,t2>]
npx -y bun scripts/main.ts notebooks remove <id>
npx -y bun scripts/main.ts notebooks activate <id> # default for every other command
npx -y bun scripts/main.ts notebooks search <query>Chat with Notebook AI
npx -y bun scripts/main.ts chat --question "What are the key findings?" --notebook <url|id>
npx -y bun scripts/main.ts chat --question "Tell me more about that" --conversation-id <id>
npx -y bun scripts/main.ts chat --question "Summarize the methodology" --json # answer + citationsChat uses all ready sources in the notebook. Citations reference source ids (see sources list).
Source management
npx -y bun scripts/main.ts sources list --notebook <url|id> # id, title, type, status, url
npx -y bun scripts/main.ts sources add-url https://example.com/article
npx -y bun scripts/main.ts sources add-youtube https://youtube.com/watch?v=xxx
npx -y bun scripts/main.ts sources add-text --title "My Notes" --content "Important findings..."
npx -y bun scripts/main.ts sources add-file ./paper.pdf
npx -y bun scripts/main.ts sources delete <sourceId>New sources show status: processing for a little while; generation and chat only use
sources whose status is ready. Supported files: PDF, TXT, MD, DOCX, PPTX, CSV, EPUB,
images (PNG, JPG, WEBP), audio/video.
Research
npx -y bun scripts/main.ts research fast --query "latest AI agent frameworks" # ~1–3 min
npx -y bun scripts/main.ts research deep --query "state of LLM reasoning" # ~5–10 min, produces a report
npx -y bun scripts/main.ts research fast --query "topic" --import # import found sources
npx -y bun scripts/main.ts research statusNotes
npx -y bun scripts/main.ts notes list
npx -y bun scripts/main.ts notes create --title "Key Takeaways" --content "1. Finding one..."
npx -y bun scripts/main.ts notes update <noteId> --title "Updated" --content "New content"
npx -y bun scripts/main.ts notes delete <noteId>Artifacts
npx -y bun scripts/main.ts artifacts list # everything in the Studio panel, with status
npx -y bun scripts/main.ts generate <type> [options]Types: slide_deck, audio, video, mind_map, flashcards, quiz, infographic, report, data_table
Generation is asynchronous on Google's side: the command creates the artifact, polls the Studio list until it is completed and its download URL is available (audio/video can take 10–20 minutes), then downloads it. If auto-download fails, the URL is printed so it can be opened in a browser.
Options
Global options
| Option | Description |
--notebook <url|id> | Notebook URL or library id (defaults to the active notebook) |
--output <path> | Output file path (auto-named under the data dir if omitted) |
--instructions <text> | Custom instructions / focus for generation |
--language <code> | Output language (default en) |
--json | Machine-readable output |
Per-type options
| Type | Options |
audio | --format deep_dive|brief|critique|debate, --length short|default|long |
video | --style auto|classic|whiteboard|kawaii|anime|watercolor|retro_print|heritage|paper_craft, --format explainer|brief|cinematic|short |
slide_deck | --format detailed|presenter|pdf|pptx, --length default|short (PPTX by default; --format pdf or an .pdf output path selects the PDF) |
quiz, flashcards | --difficulty easy|medium|hard, --quantity fewer|standard|more |
infographic | --orientation landscape|portrait|square, --detail concise|standard|detailed, --style auto|sketch_note|professional|bento_grid|editorial|instructional|bricks|clay|anime|kawaii|scientific |
report | --format briefing|study_guide|blog_post|custom, --prompt "<full prompt>" (custom) |
mind_map | --instructions only |
data_table | --instructions (what to tabulate) |
Output formats
| Type | Output |
slide_deck | PPTX (or PDF) |
audio | M4A |
video | MP4 |
mind_map | JSON tree { name, children: [...] } |
flashcards, quiz | self-contained interactive HTML |
infographic | PNG |
report | Markdown |
data_table | CSV (headers + rows) |
Environment variables
| Variable | Description |
NOTEBOOKLM_BASE_URL | App origin override (default https://notebook.google.com) |
NOTEBOOKLM_DATA_DIR | Data directory (cookies, library, Chrome profile, outputs) |
NOTEBOOKLM_COOKIE_PATH | Cookie file path |
NOTEBOOKLM_CHROME_PATH / NOTEBOOKLM_CHROME_PROFILE_DIR | Chrome executable / profile |
NOTEBOOKLM_OUTPUT_DIR | Default output directory |
NOTEBOOKLM_BL | Build label sent on chat requests (not validated by the server) |
Rate limits (free tier)
| Resource | Limit |
| Audio/video overviews | 3 per day |
| Reports/flashcards/quizzes | 10 per day |
| Daily chats | 50 |
| Notebooks | 100, 50 sources each |
Quota rejections surface as an RPCError of kind rate_limit.
Troubleshooting
| Symptom | Meaning / fix |
redirected (302) to …/login | Cookies expired → login --force |
redirected … The app origin may have changed | Google moved the app again → set NOTEBOOKLM_BASE_URL |
RPC xxxx not present in response … method ID may have changed | Google rotated an RPC id → update scripts/rpc-types.ts (compare with notebooklm-py) |
INVALID_ARGUMENT / FAILED_PRECONDITION | Payload shape rejected — run npx -y bun test and diff scripts/*-manager.ts against the reference projects |
did not return an artifact ID | Notebook has no ready sources, or the artifact type isn't enabled for the account |
Tests
cd test
npx -y bun install # dev deps only (typescript, types)
npx -y bun x tsc --noEmit # type-check
npx -y bun test unit # offline: payload shapes + decoders against recorded responses
npx -y bun test live.test.ts # live: auth + read endpoints (skips without a session)
NOTEBOOKLM_LIVE_WRITE=1 npx -y bun test live.test.ts # + add/delete a text source and a note
NOTEBOOKLM_LIVE_GENERATE=quiz npx -y bun test live.test.ts # + generate one artifact end-to-endSkill-level evals (prompts + assertions for the skill-creator harness) live in test/evals.json.
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