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Add Watermark By Parameters

CommunityPopular
CoderWanFeng
add_watermark_by_parameters

通过参数化方式给 PDF 添加水印。当用户提到参数化 PDF 水印、批量 PDF 水印时使用。

Overview

PublisherCoderWanFeng
Repositorypython-office
Skill nameadd_watermark_by_parameters
Stars
1.4K
Forks
305
Bundled files
1
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by CoderWanFeng on GitHub. Read the source before you install it.

Installation

Install the Add Watermark By Parameters AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/CoderWanFeng/python-office.git /tmp/python-office
mkdir -p .claude/skills
cp -r /tmp/python-office/skills/pdf/add_watermark_by_parameters .claude/skills/add_watermark_by_parameters
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Add Watermark By Parameters in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Add Watermark By Parameters on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Add Watermark By Parameters is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

add_watermark_by_parameters Skill

给 PDF 添加水印(带参数)

功能描述

通过参数化方式给 PDF 添加水印,与 add_mark 类似。

所属分类

office/skills/pdf/add_watermark_by_parameters/

调用方式

python
from skills.pdf import add_watermark_by_parameters

add_watermark_by_parameters(
    input_file='./test.pdf',
    mark_str='python-office',
    output_path='./',
    output_file='watermarked.pdf'
)

参数说明

参数类型必填默认值说明
input_filestr-PDF 文件路径
mark_strstr-水印内容
output_pathstr-输出路径
output_filestr-输出文件名
pdf_filestr-[已弃用] 请使用 input_file
output_file_namestr-[已弃用] 请使用 output_file

返回值

None

使用示例

python
from skills.pdf import add_watermark_by_parameters
add_watermark_by_parameters(input_file='./report.pdf', mark_str='机密')

原始函数

office.api.pdf.add_watermark_by_parameters

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Add Watermark By Parameters AI skill do?

通过参数化方式给 PDF 添加水印。当用户提到参数化 PDF 水印、批量 PDF 水印时使用。

Why use Add Watermark By Parameters on TypingMind?

Because you install it once and use it with any model. Add Watermark By Parameters is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Add Watermark By Parameters in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/CoderWanFeng/python-office/tree/develop/skills/pdf/add_watermark_by_parameters. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Add Watermark By Parameters?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Add Watermark By Parameters?

As many as you like. As long as a model supports skills, you can use Add Watermark By Parameters with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Add Watermark By Parameters AI skill free?

Yes. It is published on GitHub by CoderWanFeng under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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