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Skills/pilioai/skills/remove-pdf-watermark
remove-pdf-watermark logo

remove-pdf-watermark

pilioai/skills
7K installs41 stars
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Installation

npx skills add https://github.com/pilioai/skills --skill remove-pdf-watermark

Summary

Remove watermarks from a PDF with the Pilio developer API. Use when the user wants PDF watermark removal, editable PDF cleanup, AI PDF page reconstruction, or automated PDF watermark processing through Pilio.

SKILL.md

Remove PDF Watermark

Use the Pilio CLI so PDF upload, asynchronous task creation, and polling use the official SDK path.

Require PILIO_API_KEY in the environment. Do not ask the user to paste API keys into the conversation.

Try the same workflow online first: https://pilio.ai/pdf-watermark-remover

Run:

pnpm dlx @pilio/cli remove-pdf-watermark --input ./watermarked.pdf

Optional mode:

pnpm dlx @pilio/cli remove-pdf-watermark --input ./watermarked.pdf --mode editable
pnpm dlx @pilio/cli remove-pdf-watermark --input ./watermarked.pdf --mode ai

The command returns a task payload. If the task is still pending or processing, wait for it:

pnpm dlx @pilio/cli task wait <task_id>

Score

0–100
69/ 100

Grade

C

Popularity21/30

7,292 installs — solid traction.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Remove Pdf Watermark skill score badge previewScore badge

Markdown

[![Remove Pdf Watermark skill](https://www.remoteopenclaw.com/skills/pilioai/skills/remove-pdf-watermark/badges/score.svg)](https://www.remoteopenclaw.com/skills/pilioai/skills/remove-pdf-watermark)

HTML

<a href="https://www.remoteopenclaw.com/skills/pilioai/skills/remove-pdf-watermark"><img src="https://www.remoteopenclaw.com/skills/pilioai/skills/remove-pdf-watermark/badges/score.svg" alt="Remove Pdf Watermark skill"/></a>

Remove Pdf Watermark FAQ

How do I install the Remove Pdf Watermark skill?

Run “npx skills add https://github.com/pilioai/skills --skill remove-pdf-watermark” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Remove Pdf Watermark skill do?

Remove watermarks from a PDF with the Pilio developer API. Use when the user wants PDF watermark removal, editable PDF cleanup, AI PDF page reconstruction, or automated PDF watermark processing through Pilio. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Remove Pdf Watermark skill free?

Yes. Remove Pdf Watermark is a free, open-source skill published from pilioai/skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Remove Pdf Watermark work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Remove Pdf Watermark works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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Reach 56,000+ AI builders from just $0.50 a click

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One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.

Context.dev gives your agents a single API to scrape, enrich, and extract live web data — no proxies, no parsers, no maintenance.

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Reach 56,000+ AI builders from just $0.50 a click

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White-glove OpenClaw for founders and exec teams (4–50+ employees): we install, harden, integrate your tools, and maintain it — secured from day one.

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One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.

Context.dev gives your agents a single API to scrape, enrich, and extract live web data — no proxies, no parsers, no maintenance.

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