Mem Wowerpoint

---
name: mem-wowerpoint
description: Turn one document into a kawaii NotebookLM slide deck. Use for "wowerpoint this", "make a deck about <file>", "turn this report into slides", or any request to render a single document as shareable narrative slides.
---

> **This skill needs claude-mem, which is installed separately.** From this skill's folder, run `python3 scripts/sfp_app.py status` to see whether it is installed and running. If it is not, run `python3 scripts/sfp_app.py install` to get the plan (it changes nothing), tell the user what it will do, and run it again with `--yes` only after they agree. `start` runs it when it is installed but stopped.

# Wowerpoint

One doc in, one deck out. Slide-deck only — videos and podcasts from the same engine are noticeably worse and out of scope; refer the user to the `notebooklm` CLI directly if they want those.

## Triggers

- "Wowerpoint <file>"
- "Make a slide deck about <file>"
- "Turn this report into slides"
- "Kawaii-deck this"

## Setup (one-time per machine)

If `notebooklm auth check` returns 0 and `command -v jq` resolves, skip.

```bash
uv tool install --with playwright --force notebooklm-py
$(uv tool dir)/notebooklm-py/bin/playwright install chromium
```

`jq` is required by the workflow's JSON parsing; install if missing (`brew install jq` on macOS, or your distro's package manager).

Then the user authenticates interactively — do not script. Tell them to type `! notebooklm login` so the OAuth ENTER lands in their terminal.

## Workflow

### 1. The source doc

You need exactly one source doc. If it doesn't exist or is too thin to carry a deck, **write it first** — use mem-search and sequential thinking to make it comprehensive (long-form, narrative, several thousand words is normal). Do not paper over a weak source by adding more sources.

### 2. Auth pre-flight

```bash
notebooklm auth check 2>&1 | tail -5
```

Exit 1 with `Run 'notebooklm login' to authenticate.` = halt and tell the user.

### 3. Create notebook, add the source

```bash
NOTEBOOK_ID=$(notebooklm create "<title>" --json | jq -r .notebook.id)
notebooklm source add "<doc-path>" --notebook "$NOTEBOOK_ID" --json
```

Title: H1 of the source doc, or its filename stem; append a date for dated work.

`create` returns the id at `.notebook.id`; a wrong key gives an empty string and a silent downstream failure.

### 4. Generate the deck

```bash
notebooklm generate slide-deck "<PROMPT>" --format detailed --length default --notebook "$NOTEBOOK_ID" --json --retry 2
```

### 5. End your turn

Print the notebook URL:

```text
https://notebooklm.google.com/notebook/<NOTEBOOK_ID>
```

NotebookLM sends the user a notification when the deck is ready.

## The prompt

One sentence. Default:

```text
Use kawaii characters to tell the story of <subject>. Keep it warm and clear.
```

Replace `<subject>` with a one-phrase description from the source doc's H1 or the user's framing. If the user supplies their own prompt, pass it through verbatim — don't expand it.

## Failure modes

- **`pip: command not found`** — modern macOS doesn't ship pip on PATH. Use `uv tool install`.
- **`Playwright not installed`** — install `notebooklm-py` with `--with playwright`, then `playwright install chromium`.
- **`Run 'notebooklm login' to authenticate`** — only the user can complete OAuth.
- **Rate-limit (`GENERATION_FAILED` or "No result found for RPC ID")** — `--retry 2` handles transients; persistent failure means wait 5–10 minutes or fall back to the web UI.
- **Source upload denied for sensitive docs** — confirm before adding sources containing credentials, customer data, or unreleased product info. NotebookLM is a Google service.
- **`--length long` does not exist** — only `default|short`. If the user asks for "long slides," use `default` and explain.
- **No `--style` flag** — kawaii lives in the prompt text.

## Operational tips

- **Rerun cheaply** — once the notebook + source exist, regenerating with a different prompt only repeats generation. Reuse `NOTEBOOK_ID`.
- **Web UI fallback** — if generation is rate-limited >30 minutes, open the notebook URL and trigger generation in the UI.