wowerpoint skill
Turn one document into a kawaii NotebookLM slide-deck PDF. 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.
Is the wowerpoint skill safe?
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Install the wowerpoint skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
git clone --depth 1 https://github.com/thedotmack/claude-mem.git /tmp/claude-mem mkdir -p ~/.claude/skills cp -r /tmp/claude-mem/plugin/skills/wowerpoint ~/.claude/skills/wowerpoint
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
Wowerpoint
One doc in, one PDF 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 "
- "Make a slide deck about "
- "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.
uv tool install --with playwright --force notebooklm-py
$(uv tool dir)/notebooklm-py/bin/playwright install chromiumjq is required by the workflow's JSON parsing; install if missing (brew install jq on macOS, or your distro's package manager).
Then the user authenticates interactively — do not script. Tell them to type ! notebooklm login so the OAuth ENTER lands in their terminal.
Workflow
1. The source doc
You need exactly one source doc. If it doesn't exist or is too thin to carry a deck, write it first — use mem-search and sequential thinking to make it comprehensive (long-form, narrative, several thousand words is normal). Do not paper over a weak source by adding more sources.
2. Auth pre-flight
notebooklm auth check 2>&1 | tail -5Exit 1 with Run 'notebooklm login' to authenticate. = halt and tell the user.
3. Create notebook, add the source
NOTEBOOK_ID=$(notebooklm create "<title>" --json | jq -r .notebook.id)
SOURCE_ID=$(notebooklm source add "<doc-path>" --notebook "$NOTEBOOK_ID" --json | jq -r .source.id)Title: H1 of the source doc, or its filename stem; append a date for dated work.
JSON envelope keys differ — create → .notebook.id, source add → .source.id, generate → .task_id. Wrong key = empty string = silent downstream failure.
4. Spawn the subagent
Generation takes ~10 minutes; never block on it. Use the template below with runinbackground: true.
5. End your turn
Print the notebook URL so the user can watch live:
https://notebooklm.google.com/notebook/<NOTEBOOK_ID>The subagent's completion notification fires when the file is on disk.
Output path
Adjacent to the source, parallel filename:
<source-dir>/<source-stem>-slides.pdfIf the source isn't somewhere that makes sense as an output location, default to reports/-slides.pdf.
Share link (WOWerpoint Server)
After the PDF lands on disk, the subagent also POSTs it to the WOWerpoint Server, which converts the 16:9 deck into a 9:16 mobile twin and returns a share URL. The share URL is the primary deliverable to the user; the PDF on disk is the backup.
Required env (exported in the user's shell — the subagent inherits the parent's environment, so plain export is enough; no dotenv loader runs):
WOWERPOINT_API_BASE=https://wowerpoint-api.<subdomain>.workers.dev
WOWERPOINT_VIEWER_BASE=https://wowerpoint-viewer.<subdomain>.workers.dev
WOWERPOINT_UPLOAD_TOKEN=<token>If any var is missing, skip the share-link step and just hand the PDF over.
Upload pattern (run AFTER the subagent confirms the PDF exists on disk). Capture the full response so empty id and error payloads are handled — jq -r '.id' returns the literal string null on a missing key, so always pipe through .id // empty:
if [ -n "$WOWERPOINT_API_BASE" ] && [ -n "$WOWERPOINT_UPLOAD_TOKEN" ] && [ -n "$WOWERPOINT_VIEWER_BASE" ]; then
UPLOAD_JSON=$(curl -sS --connect-timeout 10 --max-time 30 -X POST "$WOWERPOINT_API_BASE/api/decks" \
-H "Authorization: Bearer $WOWERPOINT_UPLOAD_TOKEN" \
-F "file=@<OUTPUT_PATH>" \
-F "title=<TITLE>")
DECK_ID=$(printf '%s' "$UPLOAD_JSON" | jq -r '.id // empty')
API_ERROR=$(printf '%s' "$UPLOAD_JSON" | jq -r '.error // empty')
if [ -n "$API_ERROR" ] || [ -z "$DECK_ID" ]; then
echo "WOWerpoint upload warning: ${API_ERROR:-missing id}"
else
echo "Share URL: $WOWERPOINT_VIEWER_BASE/$DECK_ID"
fi
fiThe returned id is a kebab-case slug derived from the title with a random creature suffix (e.g. tokenrouter-quest-hawk, or velvet-comet-tiger if the title is empty or non-ASCII). The share URL is:
$WOWERPOINT_VIEWER_BASE/<id>It works immediately (shows a "still converting…" page that auto-reloads when ready). Conversion takes ~1–2 min per slide. Print the share URL in your final response.
The prompt
One sentence. Default:
Use kawaii characters to tell the story of <subject>. Keep it warm and clear.Replace with a one-phrase description from the source doc's H1 or the user's framing. If the user supplies their own prompt, pass it through verbatim — don't expand it.
Subagent template (copy-paste, parameterize)
You're handling NotebookLM slide-deck generation. Work in `<repo-absolute-path>`.
Context:
- The `notebooklm` CLI is installed and authenticated (parent verified with `notebooklm auth check`).
- A notebook and source already exist.
Inputs:
- Notebook ID: `<NOTEBOOK_ID>`
- Source ID: `<SOURCE_ID>`
- Generation prompt: `<PROMPT>`
- Output path: `<OUTPUT_PATH>`
- Deck title: `<TITLE>` (the notebook title, used by the share-link step)
Steps:
1. Wait for source: `notebooklm source wait <SOURCE_ID> -n <NOTEBOOK_ID> --timeout 600`
Exit 0 = ready, 1 = error, 2 = timeout. On timeout, run `notebooklm source list -n <NOTEBOOK_ID> --json` and report status.
2. Generate: `notebooklm generate slide-deck "<PROMPT>" --format detailed --length default --notebook <NOTEBOOK_ID> --json --retry 2`
Parse `task_id` from the JSON (key is `task_id` at top level).
On `GENERATION_FAILED` or "No result found for RPC ID": sleep 300, retry once, then give up.
3. Wait for artifact: `notebooklm artifact wait <task_id> -n <NOTEBOOK_ID> --timeout 1800`
4. Download: `notebooklm download slide-deck <OUTPUT_PATH> -a <task_id> -n <NOTEBOOK_ID>`
5. Verify: `ls -la <OUTPUT_PATH>` confirms the file existsif [ -n "$WOWERPOINTAPIBASE" ] && [ -n "$WOWERPOINTUPLOADTOKEN" ] && [ -n "$WOWERPOINTVIEWERBASE" ]; then UPLOADJSON=$(curl -sS --connect-timeout 10 --max-time 30 -X POST "$WOWERPOINTAPIBASE/api/decks" \ -H "Authorization: Bearer $WOWERPOINTUPLOADTOKEN" \ -F "file=@" \ -F "title=") DECKID=$(printf '%s' "$UPLOADJSON" | jq -r '.id // empty') APIERROR=$(printf '%s' "$UPLOADJSON" | jq -r '.error // empty') if [ -n "$APIERROR" ] || [ -z "$DECKID" ]; then echo "WOWerpoint upload warning: ${APIERROR:-missing id}" else echo "Share URL: $WOWERPOINTVIEWERBASE/$DECK_ID" fi fi
On warning, the PDF on disk is still a valid deliverable — do not retry the upload.
Report briefly (under 200 words):
- Final artifact ID
- Time per phase (source wait, generation, render wait, download)
- Output file path + size
- Share URL (if produced)
- Any retries or warnings
- Exact error message if any step failed
Do NOT poll status manually. The `wait` commands handle backoff.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.
- taskid parsed as empty string — wrong JSON envelope key. generate returns {"taskid": "..."} at top level.
- Rate-limit (GENERATIONFAILED 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 + download. Reuse NOTEBOOKID and SOURCEID.
- Web UI fallback — if generation is rate-limited >30 minutes, open the notebook URL, trigger generation in the UI, then notebooklm artifact list -n and download.
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