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notebooklm-pdf-cleaner

Create a presentation-ready copy of a NotebookLM-exported slide-deck PDF by masking the small visible NotebookLM footer badge at the bottom-right of each page. Use when the user wants a cleaner NotebookLM PDF export for sharing, presenting, or emailing. This skill is narrowly scoped to NotebookLM slide-deck PDFs and does not act as a general watermark-removal tool.

作者: admin | 来源: ClawHub
源自
ClawHub
版本
V 1.0.1
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版本历史

notebooklm-pdf-cleaner

# NotebookLM PDF Cleaner Use this skill for **NotebookLM slide-deck PDFs** that contain the small visible **NotebookLM** footer badge in the bottom-right corner. ## Default behavior The default behavior is intentionally narrow and safe: - keep the original PDF unchanged - write a new `*-clean.pdf` copy - mask the small bottom-right NotebookLM footer area on each page It does **not** remove arbitrary watermarks or redesign slides. ## Script ```bash python3 {baseDir}/scripts/clean_notebooklm_pdf.py /path/to/input.pdf ``` By default it writes: ```bash /path/to/input-clean.pdf ``` ## Useful flags ```bash # Explicit output path python3 {baseDir}/scripts/clean_notebooklm_pdf.py in.pdf --out out.pdf # Inspect only (no output file written) python3 {baseDir}/scripts/clean_notebooklm_pdf.py in.pdf --inspect # Tune the bottom-right footer mask in PDF points (origin = bottom-left) python3 {baseDir}/scripts/clean_notebooklm_pdf.py in.pdf --mask-x 1208 --mask-y 0 --mask-w 168 --mask-h 32 # Optional advanced hygiene flags python3 {baseDir}/scripts/clean_notebooklm_pdf.py in.pdf --strip-metadata --strip-annots ``` ## Safety checks - Refuse non-PDF input - Refuse overwrite of the source file - Refuse overwrite of an existing output unless `--force` is used - Keep metadata/annotation stripping **off by default** ## Defaults The default mask is tuned for common 16:9 NotebookLM slide-deck exports: - `mask-x = 1208` - `mask-y = 0` - `mask-w = 168` - `mask-h = 32` These values are scaled automatically for each page size. ## Recommended workflow 1. Keep the original PDF 2. Create `*-clean.pdf` 3. Spot-check page 1 and one later page 4. If needed, adjust the mask values and rerun 5. Share or email the cleaned copy

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 notebooklm-pdf-cleaner-1776059582 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 notebooklm-pdf-cleaner-1776059582 技能

通过命令行安装

skillhub install notebooklm-pdf-cleaner-1776059582

下载 Zip 包

⬇ 下载 notebooklm-pdf-cleaner v1.0.1

文件大小: 3.22 KB | 发布时间: 2026-4-14 13:02

v1.0.1 最新 2026-4-14 13:02
Narrowed scope to NotebookLM slide-deck footer-badge masking, replaced machine-specific paths with portable skill paths, and added safer defaults: no metadata/annotation stripping unless explicitly requested, no source overwrite, and no output overwrite without --force.

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