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JunSuzuki1973/notebooklm-antigravity-skill

Antigravity Agent Skill for Google NotebookLM integration via nlm CLI. Create notebooks, add sources, generate audio podcasts, research, and query with AI.

History

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SKILL.md

Week of Oct 26, 2026 · Line counts unavailable

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Verified commit ecb001f642ed07d7546aaa8cf60caf432a2642a0

21GitHub stars
1star in 7 days
1skill in this repository
0commits in 30 days

Heat

1.7
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  • Commits, last 30 daysNot available
  • Accounts asking about it through MCP, last 7 daysNot available
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Oct 25, 2026Nov 1, 202621

30-day change not yet available: not enough history.

Individual skills in this repository

How it works

notebooklm

When your agent uses it

Interact with Google NotebookLM via CLI (nlm). Use this when the user wants to manage notebooks, add sources, generate audio podcasts, research topics, query notebooks, or share content.

What it loads into context

Frontmatter

46 tokens

Always available to the agent

SKILL.md

1,767 tokens

When the skill is activated

Reference documents

2,620 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. Goal
  2. Prerequisites
  3. Instructions
  4. Examples
  5. Constraints
  6. Troubleshooting
  7. Advanced Usage
  8. References

Scripts executed separately

  • scripts/install.sh

Files

  • .gitignoreasset238 bytes
  • LICENSEasset1,067 bytes
  • README.mddoc5,627 bytes
  • SKILL.mdcore7,226 bytes
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  • references/QUICK_REFERENCE.mddoc4,773 bytes
  • scripts/install.shruns1,797 bytes
Read SKILL.md

# NotebookLM Antigravity Skill

This skill provides seamless integration with Google NotebookLM through the `nlm` command-line interface. It enables you to create notebooks, add sources from URLs, text, files, or Google Drive, generate AI-powered audio podcasts, perform web research, and query your notebooks with natural language.

## Goal

To enable Google NotebookLM functionality within Antigravity for research, content generation, and knowledge management tasks.

## Prerequisites

1. **Install the tool:** Run the installation script before first use
2. **Authenticate:** You must authenticate with your Google account before using NotebookLM features

## Instructions
View the complete source on GitHub

Skills included

  • notebooklm

Repository facts

License
MIT
Created
Feb 15, 2026
Last pushed
Feb 15, 2026
Forks
3
Open issues
0
Project activity
Slowing

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 6, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 37 notes
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
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Show all 37 signals by file

README.md

  • Dangerous shell operationline 156
    rm -rf ~/.notebooklm-mcp-cli
  • Dangerous shell operationline 164
    rm -rf ~/.notebooklm-mcp-cli
  • Network accessline 213
    - **CLI Guide**: Available in the notebooklm-mcp-cli package - **MCP Guide**: https://github.com/jacob-bd/notebooklm-mcp-cli
  • Network accessline 214
    - **MCP Guide**: https://github.com/jacob-bd/notebooklm-mcp-cli
  • Network accessline 215
    - **Antigravity Skills**: https://codelabs.developers.google.com/getting-started-with-antigravity-skills
  • Network accessline 219
    - Based on [notebooklm-mcp-cli](https://github.com/jacob-bd/notebooklm-mcp-cli) by Jacob Bedorf

SKILL.md

  • Network accessline 75
    # Add URL source nlm source add <notebook-id> --url "https://example.com/article"
  • Network accessline 76
    nlm source add <notebook-id> --url "https://example.com/article"
  • Network accessline 78
    # Add YouTube video nlm source add <notebook-id> --url "https://youtube.com/watch?v=xxx"
  • Network accessline 79
    nlm source add <notebook-id> --url "https://youtube.com/watch?v=xxx"
  • Network accessline 184
    # Add several sources nlm source add "$NOTEBOOK_ID" --url "https://arxiv.org/abs/2301.07041"
  • Network accessline 185
    nlm source add "$NOTEBOOK_ID" --url "https://arxiv.org/abs/2301.07041"
  • Network accessline 186
    nlm source add "$NOTEBOOK_ID" --url "https://example.com/ai-report"
  • Network accessline 197
    # Create notebook, add URL, and query in one flow NOTEBOOK_ID=$(nlm notebook create "Quick Analysis" | grep -oP 'id: \K\S+') nlm source add "$NOTEBOOK_ID" --url "https://example.com/article"
  • Network accessline 198
    NOTEBOOK_ID=$(nlm notebook create "Quick Analysis" | grep -oP 'id: \K\S+') nlm source add "$NOTEBOOK_ID" --url "https://example.com/article" nlm notebook query "$NOTEBOOK_ID" "Summarize the main arguments in 3 bullet points"
  • Network accessline 199
    nlm source add "$NOTEBOOK_ID" --url "https://example.com/article"
  • Dangerous shell operationline 244
    rm -rf ~/.notebooklm-mcp-cli
  • Network accessline 283
    For complete command reference and advanced features, see: - CLI Guide: Available in notebooklm-mcp-cli package or GitHub - MCP Guide: https://github.com/jacob-bd/notebooklm-mcp-cli
  • Network accessline 285
    - MCP Guide: https://github.com/jacob-bd/notebooklm-mcp-cli

references/QUICK_REFERENCE.md

  • Network accessline 36
    # Add URL nlm source add <notebook-id> --url "https://example.com"
  • Network accessline 37
    nlm source add <notebook-id> --url "https://example.com"
  • Network accessline 39
    # Add YouTube nlm source add <notebook-id> --url "https://youtube.com/watch?v=xxx"
  • Network accessline 40
    nlm source add <notebook-id> --url "https://youtube.com/watch?v=xxx"
  • Network accessline 145
    NOTEBOOK_ID=$(nlm notebook create "Research" | grep -oP 'id: \K\S+') nlm source add "$NOTEBOOK_ID" --url "https://example.com"
  • Network accessline 146
    nlm source add "$NOTEBOOK_ID" --url "https://example.com"
  • Network accessline 152
    nlm notebook create "Multi-Source Research" nlm source add <id> --url "https://source1.com"
  • Network accessline 153
    nlm source add <id> --url "https://source1.com"
  • Network accessline 154
    nlm source add <id> --url "https://source2.com"

scripts/install.sh

  • Executable scriptline 1
    #!/bin/bash
  • Network accessline 57
    echo "" echo "Please install one of the following:" echo "  - uv (recommended): https://github.com/astral-sh/uv"
  • Network accessline 58
    echo "Please install one of the following:" echo "  - uv (recommended): https://github.com/astral-sh/uv" echo "  - pipx: https://pipx.pypa.io/"
  • Network accessline 59
    echo "  - uv (recommended): https://github.com/astral-sh/uv"
  • Network accessline 60
    echo "  - pipx: https://pipx.pypa.io/"
  • Network accessline 62
    echo "" echo "For uv installation:" echo "  curl -LsSf https://astral.sh/uv/install.sh | sh"
  • Network accessline 63
    echo "For uv installation:" echo "  curl -LsSf https://astral.sh/uv/install.sh | sh" echo ""
  • Dangerous shell operationline 64
    echo "  curl -LsSf https://astral.sh/uv/install.sh | sh"
  • Network accessline 64
    echo "  curl -LsSf https://astral.sh/uv/install.sh | sh"

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Declared and executed: 2 facts
  • Contacts pipx.pypa.io, which SKILL.md, the README and the plugin manifest do not mentionscripts/install.sh:60High confidence
  • Contacts astral.sh, which SKILL.md, the README and the plugin manifest do not mentionscripts/install.sh:64High confidence
Signal confidence: 37 facts

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeCompatibleStandard SKILL.md SKILL.md.claude/skills/<skill-name>/
CodexCompatibleStandard SKILL.md SKILL.md.agents/skills/<skill-name>/
CursorCompatibleStandard SKILL.md SKILL.md.cursor/skills/<skill-name>/
Gemini CLICompatibleStandard SKILL.md SKILL.md.gemini/skills/<skill-name>/
GitHub CopilotCompatibleStandard SKILL.md SKILL.md.github/skills/<skill-name>/
OpenCodeCompatibleStandard SKILL.md SKILL.md.opencode/skills/<skill-name>/
  • Native The repository ships a manifest, folder or frontmatter field for this agent.
  • Compatible A standard SKILL.md that this agent can read.
  • Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.