| name | notebooklm-prep |
| description | Prepare, format, and package vault research notes into NotebookLM-ready source bundles with automatic Audio Overview / Podcast transcript priming and source manifests. |
| user-invocable | true |
| argument-hint | [target-folder] [-o output-manifest.md] |
| allowed-tools | Bash, ReadFile, WriteFile |
| type | concept |
| title | SKILL |
| sources | ["[[epistemic-contract]]"] |
| tags | ["concept","okf"] |
notebooklm-prep — NotebookLM Ingestion & Audio Overview Priming
Prepare, sanitize, and structure Obsidian vault notes into clean source packages optimized for Google NotebookLM batch upload, citation mapping, and Audio Overview (Podcast format) synthesis.
Workflow & Constraints
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Clean Header & Frontmatter Injection:
Every source file is verified to contain clean YAML frontmatter (title, type: concept, tags: [notebooklm-ingest]) without raw control characters or HTML noise.
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Chunking & Size Check:
NotebookLM accepts up to 500,000 words per source. Large transcripts are split cleanly into section-level source chunks (_part1.md, _part2.md).
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Manifest Generation:
Generates a master upload manifest (00-NOTEBOOKLM-INGEST-MANIFEST.md) linking all formatted source files, byte counts, and key research questions for the NotebookLM query box.
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Audio Overview (Podcast) Prompt Generator:
Generates a dedicated prompt file (NOTEBOOKLM-AUDIO-PROMPT.txt) tailored to elicit deep technical Audio Overviews focusing on:
- Reasoning vs Fabrication ($R1\text{--}R10$) crossover thresholds ($\sim 54%$).
- Model-vs-Model behavior differences (Opus 4.6 vs Gemini 3.1 Pro vs GPT-5.4).
