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notebooklm

An AI agent skill from teng-lin/notebooklm-py, scored 72 out of 100 by code.

72/ 100B

Code score by group

  • Spec20/20
  • Description15/20
  • Procedure12/15
  • Done criteria4/15
  • Resources7/10
  • Scripts2/8
  • Safety7/7
  • Upkeep5/5

It loses the most points in Done criteria (11), the group that checks whether there is a checklist and a step that verifies the work.

What the author says it does

Install, authenticate, troubleshoot, and operate Gemini Notebook through the notebooklm-py CLI or typed async Python API. Use for notebook and source management, grounded chat and research, and artifact generation or download when the user mentions Gemini Notebook, notebooklm-py, the notebooklm CLI, or its Python API. Do not use for the generic Gemini API or unrelated content creation.

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
teng-lin/notebooklm-py
Folder
(repository root)
License
MIT
GitHub stars
20,205
SKILL.md lines
316
Other files
2,108

Add notebooklm to your agent

npx skills add teng-lin/notebooklm-py --skill notebooklm

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

Labelled for

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.