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GitHub Repository Detail

teng-lin/notebooklm-py

teng-lin/notebooklm-py · generated-local-file

Unofficial Python API and agentic skill for Google Gemini Notebook. Full programmatic access to NotebookLM's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw — a GitHub Skill repository verified at commit 3bb0c18 with 1 SKILL.md file for ai & machine learning workflows.

Skill Overview

Unofficial Python API and agentic skill for Google Gemini Notebook. Full programmatic access to NotebookLM's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw — a GitHub Skill repository verified at commit 3bb0c18 with 1 SKILL.md file for ai & machine learning workflows.

What task this skill solves

This is a repository-level resource. The directory does not split its multiple Skills into duplicate entries. Review the representative paths and sampled commit, then use the upstream README for installation and runtime requirements.

  • Check the default branch, sampled commit, and last push.
  • Use representative SKILL.md paths to judge task coverage.
  • Independently review upstream code, scripts, license, and permissions before installation.

Resource Type

GitHub Hot Skill Repositories

Categories

AI & Machine Learning

Tags

AI & Machine Learning, agentic-skill, claude-skills, gemini-notebook, gemini-notebook-api, GitHub Skills

The download is an EasyGlobe-authored bilingual repository brief with verification evidence, not a redistributed repository or directly installable single Skill.

Detailed Skill Introduction

What teng-lin/notebooklm-py is for

teng-lin/notebooklm-py is an AI agent skill resource for AI & Machine Learning workflows. Based on the archived project material, its core value is: Unofficial Python API and agentic skill for Google Gemini Notebook. Full programmatic access to NotebookLM's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw — a GitHub Skill repository verified at commit 3bb0c18 with 1 SKILL.md file for ai & machine learning workflows.. This detail page focuses on the practical questions to answer before adopting the skill: what task it solves, how setup works, which README notes matter, where the local Markdown copy is available, and whether the workflow can be adapted for Claude, Codex, Gemini, Kimi, GLM, ChatGPT, or an internal AI agent.

README summary

> This is an EasyGlobe-authored bilingual repository brief, not a redistributed third-party Skill and not an installable copy of the repository. Review the upstream repository before use.

README capability notes

| Path | Frontmatter name | Frontmatter description | SHA-256 |

| --- | --- | --- | --- |

| SKILL.md | notebooklm | Complete API for Google NotebookLM - full programmatic access including features not in the web UI. Create notebooks, add sources, generate all artifact types, download in multiple formats. Activates on explicit /notebooklm or intent like "create a podcast about X | a10c2543ba0b7614e4681ddf12b9b4befbe854eb0d5d29e08f4c169cea103b0e |

Source: https://github.com/teng-lin/notebooklm-py

Workflow fit and practical value

The current taxonomy places teng-lin/notebooklm-py under AI & Machine Learning, with tags such as AI & Machine Learning, agentic-skill, claude-skills, gemini-notebook, gemini-notebook-api, GitHub Skills. That means the skill should be evaluated through the lens of repeatable work: what task it helps an AI agent perform, what context the agent needs, what output a user should expect, and whether the workflow can be reused as a team SOP. The archived README is used as the first source of truth whenever it includes feature lists, examples, setup notes, or usage guidance. The local Markdown download is useful for review, internal documentation, and adapting the instructions into your own agent skills repository.

Installation, usage, and platform notes

No explicit installation section was found in the archived README. Open the original source for the official setup path; the download button provides the local Markdown copy saved by EasyGlobe. Use this skill when the task involves AI & Machine Learning, agentic-skill, claude-skills, gemini-notebook, gemini-notebook-api, GitHub Skills. It can be adapted into Claude Skills, Codex Skills, Gemini Skills, Kimi Skills, GLM Skills, or a team SOP. If the README does not include a complete command-by-command setup path, the Skill URL remains the official source for the latest installation instructions. Platform support should be confirmed from the original project, but the information on this page is organized so it can be reused as a reference for Claude, Codex, Gemini, Kimi, GLM, ChatGPT, or internal AI agent workflows.

Capabilities

| Path | Frontmatter name | Frontmatter description | SHA-256 |

| --- | --- | --- | --- |

| SKILL.md | notebooklm | Complete API for Google NotebookLM - full programmatic access including features not in the web UI. Create notebooks, add sources, generate all artifact types, download in multiple formats. Activates on explicit /notebooklm or intent like "create a podcast about X | a10c2543ba0b7614e4681ddf12b9b4befbe854eb0d5d29e08f4c169cea103b0e |

Source: https://github.com/teng-lin/notebooklm-py

Supported Platforms

Use this skill as a reference template for these AI agents, model workflows, or team SOPs.

Claude SkillsCodex SkillsGemini SkillsKimi SkillsGLM SkillsChatGPT Skills

Configuration & Updates

No standalone configuration section was detected in the archive. If the source project requires API keys, account auth, CLI setup, or plugin config, follow the Skill URL.

README Command Examples

No displayable command code block was detected in the README.

Tags

AI & Machine Learningagentic-skillclaude-skillsgemini-notebookgemini-notebook-apiGitHub Skills

FAQ

Is teng-lin/notebooklm-py a single Skill?

No. This page represents one GitHub repository. It may contain multiple Skills, and at least one sampled SKILL.md passed the name and description frontmatter gate.

What is in the repository brief download?

It contains an EasyGlobe-authored bilingual summary, repository metadata, representative paths, and frontmatter content hashes. It does not contain the third-party repository or original Skill text.

How is the hot rank calculated?

The score combines weekly/monthly GitHub trend signals, log-normalized stars, age-adjusted stars per day, recent push/release activity, and Skill packaging, documentation, license, and static safety clarity.

Is verification a security audit?

No. Verification confirms repository eligibility, valid frontmatter, and a limited set of static risk patterns. Independently review upstream code, scripts, and permissions before installation.