NotebookLM Claude Code Skill v1.1.0
What's New
Smart Discovery Feature
- Automatic content discovery: When adding notebooks, Claude can now query them first to discover their content
- No more guessing: Automatically extracts name, description, and topics from the notebook itself
- Usage: "Query this notebook about its content and add it to my library: [URL]"
Active Notebook Support
- Automatic selection: If no notebook specified, uses the active notebook
- Better error handling: Shows available notebooks instead of cryptic errors
- Helpful guidance: Clear instructions on how to select or activate notebooks
Bug Fixes & Improvements
- Fixed browser parameters: Removed non-existent
--headlessreferences - Better debugging: Enhanced error messages showing working directory and skill paths
- Clearer documentation: Resources structure highlighted in SKILL.md
- Quick workflow: Added streamlined workflow examples
Documentation Updates
- Honest terminology: Replaced "zero hallucination" claims with accurate "source-grounded" descriptions
- Smart Add documented: New feature explained in README, SKILL.md, and references
- Troubleshooting improved: Corrected browser parameter documentation
Upgrading
cd ~/.claude/skills/notebooklm
git pullThat's it! The skill will automatically update dependencies on next use.
Key Improvements in This Release
- Smart Discovery - Claude intelligently queries notebooks for their content before adding them
- Active Notebook - Automatically uses the active notebook when none specified
- Better UX - Shows available notebooks and helpful instructions instead of errors
- Accurate Claims - Documentation now correctly describes NotebookLM as "source-grounded" rather than "zero hallucination"
Example: Smart Discovery in Action
User: "Query this notebook and add it to my library: https://notebooklm.google.com/notebook/..."
Claude automatically:
1. Queries the notebook: "What is the content of this notebook?"
2. Extracts topics and description from the response
3. Adds it to library with appropriate metadata
No more asking users "What's in this notebook?" - Claude figures it out!
Acknowledgments
Thanks to the community for feedback and bug reports. Special thanks to those who pointed out the importance of accurate documentation regarding hallucination claims.
Questions or issues? Open an issue on GitHub: https://github.com/PleasePrompto/notebooklm-skill/issues
Full Changelog: v1.0.0...v1.1.0