A precision tool designed to mask the NotebookLM footer badge on exported slide-decks for a professional, presentation-ready finish.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install notebooklm-pdf-cleaner
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install notebooklm-pdf-cleaner using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is NotebookLM PDF Cleaner?
The NotebookLM PDF Cleaner is a specialized utility within the Openclaw Skills ecosystem tailored for users who need to polish their NotebookLM-generated presentations. While NotebookLM offers incredible synthesis capabilities, its default exports include a small visible footer badge in the bottom-right corner. This skill provides a non-destructive way to cover that badge, ensuring your slides look clean for high-stakes meetings or public sharing.
Unlike broad watermark removal tools that can corrupt PDF structures, this skill is narrowly scoped to target the specific coordinate space used by NotebookLM exports. It prioritizes document integrity by generating a new, cleaned copy of your file rather than modifying the original source, maintaining a safe and professional workflow for developers and researchers alike.
NotebookLM PDF Cleaner Use Cases
- Preparing NotebookLM slide-decks for executive presentations where a neutral aesthetic is required.
- Cleaning up exported PDFs before emailing them to external clients or stakeholders.
- Automating the post-processing of AI-generated research summaries for academic or professional distribution.
- Standardizing the visual appearance of multiple NotebookLM exports by using Openclaw Skills to batch-process files.
How NotebookLM PDF Cleaner Works
- The skill accepts a path to a NotebookLM-exported slide-deck PDF and validates the file format.
- It calculates the necessary mask coordinates based on the standard 16:9 aspect ratio used by the platform.
- A solid mask is applied to the bottom-right corner (default x:1208, y:0) of every page in the document.
- The tool performs safety checks to ensure the original file is never overwritten.
- A new PDF file is generated with a -clean suffix, ready for immediate use.
NotebookLM PDF Cleaner Setup
To use this Openclaw Skills utility, ensure you have Python 3 installed. You can execute the cleaner directly via the CLI:
# Standard cleanup
python3 scripts/clean_notebooklm_pdf.py /path/to/your/input.pdf
# Cleanup with custom output path
python3 scripts/clean_notebooklm_pdf.py input.pdf --out presentation-final.pdf
NotebookLM PDF Cleaner Data Schema & Taxonomy
The skill follows a strict data handling protocol to maintain file safety and metadata integrity:
| Attribute | Description |
|---|---|
| Input Type | PDF (.pdf) |
| Output Suffix | -clean.pdf (default) |
| Default Mask Area | x=1208, y=0, w=168, h=32 (Points) |
| Metadata Handling | Preserved by default; can be stripped via --strip-metadata |
| Annotations | Preserved by default; can be stripped via --strip-annots |
NotebookLM PDF Cleaner Advanced Features
- Custom Masking: Users can manually tune the mask coordinates and dimensions using
--mask-x,--mask-y,--mask-w, and--mask-hto fit unique exports. - Inspect Mode: Run the script with
--inspectto validate coordinates without writing a new file to disk. - Hygiene Control: Optional flags allow for the removal of internal PDF metadata and annotations for increased privacy.
- Automation Friendly: Supports the
--forceflag to overwrite previous clean exports in automated CI/CD or agentic workflows.
SKILL.md
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