install
Use this when setting up claude-mem on Cursor: local or remote worker, local host-login observer or remote cmem.ai inference.
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.
$ npx -y skills add thedotmack/claude-mem --skill wowerpoint --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/wowerpointContext preview
The summary Claude sees to decide when to auto-load this 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.
name: wowerpoint description: 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.
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.
If `notebooklm auth check` returns 0 and `command -v jq` resolves, skip.
uv tool install --with playwright --force notebooklm-py $(uv tool dir)/notebooklm-py/bin/playwright install chromium
`jq` is required by the workflow's JSON parsing; install if missing (`brew install jq` on macOS, or your distro's package manager).
Then the user authenticates interactively — do not script. Tell them to type `! notebooklm login` so the OAuth ENTER lands in their terminal.
You need exactly one source doc. If it doesn't exist or is too thin to carry a deck, **write it first** — use mem-search and sequential thinking to make it comprehensive (long-form, narrative, several thousand words is normal). Do not paper over a weak source by adding more sources.
notebooklm auth check 2>&1 | tail -5
Exit 1 with `Run 'notebooklm login' to authenticate.` = halt and tell the user.
NOTEBOOK_ID=$(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.
Generation takes ~10 minutes; never block on it. Use the template below with `run_in_background: true`.
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.
Adjacent to the source, parallel filename:
<source-dir>/<source-stem>-slides.pdf
If the source isn't somewhere that makes sense as an output location, default to `reports/<stem>-slides.pdf`.
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.
One sentence. Default:
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.
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
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Repo: thedotmack/claude-mem
Use this when setting up claude-mem on Cursor: local or remote worker, local host-login observer or remote cmem.ai inference.
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