Agent skill

Notebooklm

Full NotebookLM API via notebooklm-py CLI: create notebooks, add sources, generate podcasts, videos, infographics, slides, quizzes, flashcards, mind maps.

MITAuto-check passedKnowledge Management

Install Notebooklm

skills CLI

$ npx skills add Mathews-Tom/armory --skill notebooklm -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install Mathews-Tom/armory notebooklm --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/notebooklm .claude/skills/notebooklm && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "notebooklm" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/notebooklm into .claude/skills/notebooklm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "notebooklm", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/Mathews-Tom/armory/tree/main/skills/notebooklm

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add Mathews-Tom/armory --skill notebooklm -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install Mathews-Tom/armory notebooklm --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/notebooklm .agents/skills/notebooklm && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "notebooklm" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/notebooklm into .agents/skills/notebooklm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "notebooklm", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Mathews-Tom/armory --skill notebooklm -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install Mathews-Tom/armory notebooklm --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/notebooklm .cursor/skills/notebooklm && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "notebooklm" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/notebooklm into .cursor/skills/notebooklm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "notebooklm", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/Mathews-Tom/armory.git --path skills/notebooklm

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add Mathews-Tom/armory --skill notebooklm -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install Mathews-Tom/armory notebooklm --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/notebooklm .gemini/skills/notebooklm && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "notebooklm" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/notebooklm into .gemini/skills/notebooklm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "notebooklm", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install Mathews-Tom/armory notebooklm

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add Mathews-Tom/armory --skill notebooklm -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/notebooklm .github/skills/notebooklm && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "notebooklm" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/notebooklm into .github/skills/notebooklm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "notebooklm", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Mathews-Tom/armory --skill notebooklm -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install Mathews-Tom/armory notebooklm --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/notebooklm .opencode/skills/notebooklm && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "notebooklm" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/notebooklm into .opencode/skills/notebooklm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "notebooklm", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: notebooklm
GitHub stars: 328
Token cost: ~4k tokens
SKILL.md length: 1,151 words
Files: 2
Skills in repo: 80
Repo updated: Oct 6, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Full NotebookLM API via notebooklm-py CLI: create notebooks, add sources, generate podcasts, videos, infographics, slides, quizzes, flashcards, mind maps.

Works in 6 steps: notebooklm create "Research: [topic]"… → notebooklm source add "https://..."… → notebooklm source list --json — wait… → …
Create a podcast
SKILL.md covers Prerequisites, Quick Reference, Autonomy Rules and Generation Types, plus 7 more sections
Calls uv; reaches youtube.com and url1.com

What it does

Notebooklm is an agent skill from Mathews-Tom/armory. Full NotebookLM API via notebooklm-py CLI: create notebooks, add sources, generate podcasts, videos, infographics, slides, quizzes, flashcards, mind maps. Triggers on: "notebooklm", "create a podcast", "audio overview", "generate flashcards", "generate infographic", "/notebooklm".

Its SKILL.md is about 4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `evals/cases.yaml`).

It sits in Knowledge Management, covering Source-grounded notebooks, Infographics and Podcasting. It works with NotebookLM. The repository describes itself as: Curated, production-grade skills for AI coding agents. Battle-tested workflows for developers who use AI seriously. The licence is MIT.

When your agent uses it

Create a podcast
Generate flashcards
Generate infographic

Example prompts

“notebooklm”
“create a podcast”
“audio overview”
“/notebooklm”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

notebooklm create "Research: [topic]" --json — capture notebook ID
notebooklm source add "https://..." --json for each source — capture source IDs
notebooklm source list --json — wait until all status=ready
notebooklm generate audio "Focus on [angle]" --json — capture artifact ID
notebooklm artifact wait — blocks until complete
notebooklm download audio ./podcast.mp3

What it can do on your machine

Read from SKILL.md and the folder at commit 4594fb7. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- youtube.com
- url1.com
- url2.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Notebooklm loads about 4k tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 1,151 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~73
When it runs · the whole SKILL.md, loaded when a task matches: ~4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Mathews-Tom/armory at commit 4594fb7, republished under its MIT licence (© Mathews-Tom). 1,151 words, ~4,011 tokens.

Download SKILL.mdSave it as .claude/skills/notebooklm/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: notebooklm
description: Full NotebookLM API via notebooklm-py CLI: create notebooks, add sources, generate podcasts, videos, infographics, slides, quizzes, flashcards, mind maps. Triggers on: "notebooklm", "create a podcast", "audio overview", "generate flashcards", "generate infographic", "/notebooklm".
metadata.version: 1.1.1
metadata.category: research
metadata.tags: notebooklm, podcast, flashcards, source-analysis
metadata.difficulty: intermediate

NotebookLM Automation

Complete programmatic access to Google NotebookLM — including capabilities not exposed in the web UI. Create notebooks, add sources (URLs, YouTube, PDFs, audio, video, images), chat with content, generate all artifact types, and download results in multiple formats.

Prerequisites

Installation

bash

uv tool install notebooklm-py

Authentication (one-time)

bash

notebooklm login          # Opens browser for Google OAuth
notebooklm list           # Verify authentication works

If commands fail with auth errors, re-run notebooklm login.

Verify Setup

bash

notebooklm --version
notebooklm status         # Shows "Authenticated as: email@..."
notebooklm list --json    # Should return valid JSON

CI/CD and Parallel Agents

Variable	Purpose
`NOTEBOOKLM_HOME`	Custom config directory (default: `~/.notebooklm`)
`NOTEBOOKLM_AUTH_JSON`	Inline auth JSON — no file writes needed

Parallel agents: The CLI stores notebook context in ~/.notebooklm/context.json. Multiple concurrent agents using notebooklm use overwrite each other's context. Use explicit -n <notebook_id> or --notebook <notebook_id> flags instead, or set unique NOTEBOOKLM_HOME per agent.

Quick Reference

Task	Command
Authenticate	`notebooklm login`
Diagnose auth	`notebooklm auth check --test`
List notebooks	`notebooklm list`
Create notebook	`notebooklm create "Title"`
Set context	`notebooklm use <notebook_id>`
Show context	`notebooklm status`
Add URL source	`notebooklm source add "https://..."`
Add file	`notebooklm source add ./file.pdf`
Add YouTube	`notebooklm source add "https://youtube.com/..."`
List sources	`notebooklm source list`
Wait for source	`notebooklm source wait <source_id>`
Web research (fast)	`notebooklm source add-research "query"`
Web research (deep)	`notebooklm source add-research "query" --mode deep --no-wait`
Check research status	`notebooklm research status`
Wait for research	`notebooklm research wait --import-all`
Chat	`notebooklm ask "question"`
Chat (new conversation)	`notebooklm ask "question" --new`
Chat (specific sources)	`notebooklm ask "question" -s src_id1 -s src_id2`
Chat (with references)	`notebooklm ask "question" --json`
Get source fulltext	`notebooklm source fulltext <source_id>`
Get source guide	`notebooklm source guide <source_id>`
Generate podcast	`notebooklm generate audio "instructions"`
Generate video	`notebooklm generate video "instructions"`
Generate quiz	`notebooklm generate quiz`
Generate infographic	`notebooklm generate infographic`
Generate slide deck	`notebooklm generate slide-deck`
Generate report	`notebooklm generate report`
Generate mind map	`notebooklm generate mind-map`
Generate data table	`notebooklm generate data-table "description"`
Generate flashcards	`notebooklm generate flashcards`
Check artifact status	`notebooklm artifact list`
Wait for completion	`notebooklm artifact wait <artifact_id>`
Download audio	`notebooklm download audio ./output.mp3`
Download video	`notebooklm download video ./output.mp4`
Download report	`notebooklm download report ./report.md`
Download mind map	`notebooklm download mind-map ./map.json`
Download data table	`notebooklm download data-table ./data.csv`
Download quiz	`notebooklm download quiz quiz.json`
Download quiz (markdown)	`notebooklm download quiz --format markdown quiz.md`
Download flashcards	`notebooklm download flashcards cards.json`
Download infographic	`notebooklm download infographic ./infographic.png`
Download slide deck	`notebooklm download slide-deck ./slides.pdf`
List languages	`notebooklm language list`
Set language	`notebooklm language set zh_Hans`

Partial IDs: Use the first 6+ characters of UUIDs. Must be a unique prefix. Prefer full UUIDs in automation.

Autonomy Rules

Run without confirmation:

status, auth check, list, source list, artifact list, language list/get/set
use <id>, create, ask "...", source add
source wait, artifact wait, research wait/status (in subagent context)

Confirm before running:

delete — destructive
generate * — long-running, may fail due to rate limits
download * — writes to filesystem
artifact wait, source wait, research wait — long-running (in main conversation)

Generation Types

All generate commands support:

-s, --source to use specific source(s) instead of all
--language to override output language
--json for machine-readable output (returns task_id and status)
--retry N for automatic retry with exponential backoff

Type	Command	Key Options	Download Format
Podcast	`generate audio`	`--format [deep-dive\|brief\|critique\|debate]`, `--length [short\|default\|long]`	.mp3
Video	`generate video`	`--format [explainer\|brief]`, `--style [auto\|classic\|whiteboard\|kawaii\|anime\|watercolor\|retro-print\|heritage\|paper-craft]`	.mp4
Slide Deck	`generate slide-deck`	`--format [detailed\|presenter]`, `--length [default\|short]`	.pdf
Infographic	`generate infographic`	`--orientation [landscape\|portrait\|square]`, `--detail [concise\|standard\|detailed]`	.png
Report	`generate report`	`--format [briefing-doc\|study-guide\|blog-post\|custom]`	.md
Mind Map	`generate mind-map`	(sync, instant)	.json
Data Table	`generate data-table`	description required	.csv
Quiz	`generate quiz`	`--difficulty [easy\|medium\|hard]`, `--quantity [fewer\|standard\|more]`	.json/.md/.html
Flashcards	`generate flashcards`	`--difficulty [easy\|medium\|hard]`, `--quantity [fewer\|standard\|more]`	.json/.md/.html

Features Beyond the Web UI

Feature	Command	Description
Batch downloads	`download <type> --all`	Download all artifacts of a type at once
Quiz/Flashcard export	`download quiz --format json`	Export as JSON, Markdown, or HTML
Mind map extraction	`download mind-map`	Hierarchical JSON for visualization tools
Data table export	`download data-table`	Structured tables as CSV
Source fulltext	`source fulltext <id>`	Retrieve the indexed text content of any source
Programmatic sharing	`share` commands	Manage sharing permissions without the UI

JSON Output Formats

Use --json for machine-readable output:

Create notebook:

json

{ "id": "abc123de-...", "title": "Research" }

Add source:

json

{ "source_id": "def456...", "title": "Example", "status": "processing" }

Generate artifact:

json

{ "task_id": "xyz789...", "status": "pending" }

Chat with references:

json

{
  "answer": "X is... [1] [2]",
  "conversation_id": "...",
  "references": [
    {
      "source_id": "abc123...",
      "citation_number": 1,
      "cited_text": "Relevant passage..."
    }
  ]
}

Source list:

json

{
  "sources": [
    { "id": "...", "title": "...", "status": "ready|processing|error" }
  ]
}

Artifact list:

json

{
  "artifacts": [
    {
      "id": "...",
      "title": "...",
      "type": "Audio Overview",
      "status": "in_progress|pending|completed|unknown"
    }
  ]
}

Common Workflows

Research to Podcast

notebooklm create "Research: [topic]" --json — capture notebook ID
notebooklm source add "https://..." --json for each source — capture source IDs
notebooklm source list --json — wait until all status=ready
notebooklm generate audio "Focus on [angle]" --json — capture artifact ID
notebooklm artifact wait <artifact_id> — blocks until complete
notebooklm download audio ./podcast.mp3

Show full SKILL.md (469 more words)Show less

Document Analysis

notebooklm create "Analysis: [project]"
notebooklm source add ./doc.pdf
notebooklm ask "Summarize the key points"
Continue chatting as needed

Bulk Import

notebooklm create "Collection: [name]"

Add sources (max 50 per notebook):

bash

notebooklm source add "https://url1.com" --json
notebooklm source add "https://url2.com" --json
notebooklm source add ./local-file.pdf --json

notebooklm source list --json to verify

Supported source types: PDFs, YouTube URLs, web URLs, Google Docs, text files, Markdown, Word docs, audio files, video files, images.

Deep Web Research

notebooklm create "Research: [topic]"
Start deep research: notebooklm source add-research "topic" --mode deep --no-wait
Wait: notebooklm research wait --import-all --timeout 300
Sources auto-imported when research completes

Modes: --mode fast (5-10 sources, seconds) vs --mode deep (20+ sources, 2-5 min). Search from: --from web (default) or --from drive (Google Drive).

Subagent Pattern for Long Operations

For non-blocking generation, spawn a background agent:

Run notebooklm generate audio "..." --json — parse artifact_id

Spawn a Task agent to wait and download:

Wait for artifact {artifact_id} in notebook {notebook_id} to complete.
Use: notebooklm artifact wait {artifact_id} -n {notebook_id} --timeout 600
Then: notebooklm download audio ./podcast.mp3 -a {artifact_id} -n {notebook_id}

Main conversation continues while agent waits

Processing Times

Operation	Typical Time	Suggested Timeout
Source processing	30s - 10 min	600s
Research (fast)	30s - 2 min	180s
Research (deep)	15 - 30+ min	1800s
Mind map	instant (sync)	n/a
Notes	instant	n/a
Quiz, flashcards	5 - 15 min	900s
Report, data table	5 - 15 min	900s
Audio generation	10 - 20 min	1200s
Video generation	15 - 45 min	2700s

Error Handling

Error	Cause	Action
Auth/cookie error	Session expired	`notebooklm auth check` then `notebooklm login`
"No notebook context"	Context not set	Use `-n <id>` flag or `notebooklm use <id>`
"No result found for RPC ID"	Rate limiting	Wait 5-10 min, retry
`GENERATION_FAILED`	Google rate limit	Wait and retry later
Download fails	Generation incomplete	Check `artifact list` for status
Invalid notebook/source ID	Wrong ID	Run `notebooklm list` to verify
RPC protocol error	Google changed APIs	May need CLI update (`uv tool upgrade notebooklm-py`)

Exit codes: 0 = success, 1 = error, 2 = timeout (wait commands only).

Reliable operations: Notebooks, sources, chat, mind map, report, data table. May hit rate limits: Audio, video, quiz, flashcards, infographic, slide deck.

Language Configuration

Language is a global setting affecting all notebooks.

bash

notebooklm language list              # 80+ supported languages
notebooklm language get               # Current setting
notebooklm language set ja            # Set globally
notebooklm generate audio --language ja  # Override per command

Common codes: en, zh_Hans, zh_Hant, ja, ko, es, fr, de, pt_BR.

Limitations

Unofficial API: Uses browser automation via notebooklm-py. May break if Google changes NotebookLM internals. Not affiliated with Google.
50 sources per notebook: Hard limit from NotebookLM.
Rate limiting: Generation endpoints are rate-limited by Google. No workaround beyond waiting.
Auth expiry: Google OAuth sessions expire. Re-run notebooklm login when auth fails.
No streaming: Chat responses are returned in full, not streamed.
Single-agent context: notebooklm use writes to a shared file. Use -n flags for parallel workflows.

Files

SKILL.md and 1 other file in skills/notebooklm of Mathews-Tom/armory.

SKILL.md
evals/cases.yaml

Open the folder on GitHubat commit 4594fb7

Compare with similar skills

Notebooklm next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Notebooklm compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Notebooklm this skillMathews-Tom/armory	328	—	~4k	Automated safety check: Pass	MIT	2 days ago
Nlm Skilliusztinpaul/ai-research-os-workshop	179	1 repos	~6.9k	Automated safety check: Pass	MIT	3 mo ago
NotebookLM CLI Guidejacob-bd/notebooklm-cli	255	—	~3.4k	Automated safety check: Warn	MIT	4 mo ago
Notebooklmalirezarezvani/claude-skills	28k	—	~4k	Automated safety check: Pass	MIT	1 mo ago
Notebooklm CLIItamarZand88/CLI-Anything-WEB	231	—	~997	Automated safety check: Pass	MIT	7 days ago
Multi-Source to NotebookLM Processorjoeseesun/qiaomu-anything-to-notebooklm	6.2k	—	~3.6k	Automated safety check: Pass	MIT	3 days ago

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Questions about Notebooklm

What does Notebooklm do?

Full NotebookLM API via notebooklm-py CLI: create notebooks, add sources, generate podcasts, videos, infographics, slides, quizzes, flashcards, mind maps. Notebooklm is an agent skill from Mathews-Tom/armory. Full NotebookLM API via notebooklm-py CLI: create notebooks, add sources, generate podcasts, videos, infographics, slides, quizzes, flashcards, mind maps.

When should I use Notebooklm?

Notebooklm fits situations like: create a podcast; generate flashcards; generate infographic.

How do I install Notebooklm in Claude Code?

Run `npx skills add Mathews-Tom/armory --skill notebooklm -a claude-code`. Or copy the skill folder (skills/notebooklm in Mathews-Tom/armory) into .claude/skills/notebooklm in your project. Claude Code loads it when a task matches its description.

How do I install Notebooklm in Codex?

Run `npx skills add Mathews-Tom/armory --skill notebooklm -a codex`. Or copy the skill folder (skills/notebooklm in Mathews-Tom/armory) into .agents/skills/notebooklm in your project. Codex loads it when a task matches its description.

Can I use Notebooklm in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Mathews-Tom/armory --skill notebooklm -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/notebooklm, .gemini/skills/notebooklm, .github/skills/notebooklm and .opencode/skills/notebooklm in your project.

What does Notebooklm need to run?

Going by SKILL.md and its folder, Notebooklm needs the command-line tools its instructions call (uv).

Does Notebooklm access the network?

SKILL.md names 3 domains. In commands or code: youtube.com, url1.com and url2.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Notebooklm safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Notebooklm use?

Notebooklm is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Notebooklm use?

About 4k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Notebooklm?

Skills that share tags, products or a category with Notebooklm: Nlm Skill (iusztinpaul/ai-research-os-workshop, 179 stars), NotebookLM CLI Guide (jacob-bd/notebooklm-cli, 255 stars), Notebooklm (alirezarezvani/claude-skills, 28k stars) and Notebooklm CLI (ItamarZand88/CLI-Anything-WEB, 231 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Notebooklm?

Mathews-Tom (a GitHub user) maintains it in Mathews-Tom/armory, which has 328 GitHub stars. The repository holds 80 skills in this directory. The repository was last updated on October 6, 2026.

Source: Mathews-Tom/armory on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Notebooklm

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

NotebookLM Automation

Prerequisites

Installation

Authentication (one-time)

Verify Setup

CI/CD and Parallel Agents

Quick Reference

Autonomy Rules

Generation Types

Features Beyond the Web UI

JSON Output Formats

Common Workflows

Research to Podcast

Document Analysis

Bulk Import

Deep Web Research

Subagent Pattern for Long Operations

Processing Times

Error Handling

Language Configuration

Limitations

Files

Compare with similar skills

Similar skills

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Related

Questions about Notebooklm