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+# notebooklm-py
+
+**Unofficial Python API and AI-agent skill for Google NotebookLM.** 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.
+
+## What It Does
+
+`notebooklm-py` gives agents and developers complete control over Google NotebookLM:
+
+- **Notebook management** — create, list, rename, delete notebooks
+- **Source ingestion** — add URLs, YouTube, PDFs, text, Markdown, Word, EPUB, audio, video, images, and Google Drive files
+- **Chat** — ask questions, retrieve conversation history, save answers as notes
+- **Research** — run web and Google Drive research agents (fast/deep mode) and auto-import sources
+- **Content generation** — audio overviews (4 formats, 50+ languages), video overviews (3 formats + cinematic), slide decks, infographics, quizzes, flashcards, reports, data tables, and mind maps
+- **Downloads & export** — MP3, MP4, PDF, PPTX, PNG, CSV, JSON, Markdown; batch downloads; quiz/flashcard JSON export; mind map hierarchical JSON
+- **Sharing** — manage public/private links and per-user permissions programmatically
+- **Multi-account** — named profiles, `NOTEBOOKLM_PROFILE` env isolation, `NOTEBOOKLM_AUTH_JSON` for CI/CD
+
+## Features Beyond the Web UI
+
+| Feature | Details |
+|---------|---------|
+| Batch downloads | Download all artifacts of a type at once |
+| Quiz / flashcard export | Structured JSON, Markdown, or HTML |
+| Mind map JSON | Hierarchical export for visualization tools |
+| Data table CSV | Download structured tables as spreadsheets |
+| Slide deck as PPTX | Editable PowerPoint (web UI only offers PDF) |
+| Slide revision | Modify individual slides with natural-language prompts |
+| Source fulltext access | Retrieve indexed text of any source |
+| Multi-account profiles | Switch Google accounts without re-authenticating |
+| Browser cookie import | Reuse an existing browser session |
+
+## Quick Start
+
+```bash
+# Install
+pip install "notebooklm-py[browser]"
+playwright install chromium
+
+# Authenticate
+notebooklm login
+
+# Use
+notebooklm create "My Research"
+notebooklm source add "https://example.com/paper.pdf"
+notebooklm ask "What are the key findings?"
+notebooklm generate audio "make it engaging" --wait
+notebooklm download audio ./podcast.mp3
+```
+
+## Agent Integration (Claude Code / GitAgent)
+
+```bash
+# Install the skill into your agent's skill directory
+notebooklm skill install
+# or via npx
+npx skills add teng-lin/notebooklm-py
+```
+
+Once installed, agents can invoke NotebookLM capabilities directly:
+> "Create a podcast about the linked paper" → notebooklm-py handles the full pipeline.
+
+## Python API
+
+```python
+import asyncio
+from notebooklm import NotebookLMClient
+
+async def main():
+    async with NotebookLMClient.from_storage() as client:
+        nb = await client.notebooks.create("Research")
+        await client.sources.add_url(nb.id, "https://example.com", wait=True)
+        result = await client.chat.ask(nb.id, "Summarize this")
+        print(result.answer)
+        status = await client.artifacts.generate_audio(nb.id)
+        await client.artifacts.wait_for_completion(nb.id, status.task_id)
+        await client.artifacts.download_audio(nb.id, "podcast.mp3")
+
+asyncio.run(main())
+```
+
+## Notes
+
+- Uses undocumented Google internal APIs — may break without notice.
+- Not affiliated with Google.
+- Best for prototypes, research pipelines, and personal automation.
+- Requires Python 3.10+.
diff --git a/agents/teng-lin__notebooklm-py/metadata.json b/agents/teng-lin__notebooklm-py/metadata.json
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+{
+  "name": "notebooklm-py",
+  "author": "teng-lin",
+  "description": "Unofficial Python API & AI-agent skill for Google NotebookLM. Full programmatic access including batch downloads, quiz/flashcard export, mind maps, and multi-account support.",
+  "repository": "https://github.com/teng-lin/notebooklm-py",
+  "path": "",
+  "version": "0.7.0",
+  "category": "productivity",
+  "tags": ["notebooklm", "google", "research", "content-generation", "ai-agent", "skill", "claude-code", "podcast", "pdf", "automation"],
+  "license": "MIT",
+  "model": "claude-sonnet-4-5-20250929",
+  "adapters": ["claude-code", "system-prompt"],
+  "icon": false,
+  "banner": false
+}