Add Img Water logo

Add Img Water

CommunityPopular
CoderWanFeng
add_img_water

给 PDF 添加图片水印(logo 等)。当用户提到 PDF 图片水印、PDF 加 logo 时使用。

Overview

PublisherCoderWanFeng
Repositorypython-office
Skill nameadd_img_water
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 Img Water 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_img_water .claude/skills/add_img_water
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Add Img Water 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 Img Water 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 Img Water 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_img_water Skill

给 PDF 文件添加图片水印

功能描述

向 PDF 文件添加图片作为水印。

所属分类

office/skills/pdf/add_img_water/

调用方式

python
from skills.pdf import add_img_water

add_img_water(
    input_file='./test.pdf',
    mark_file='./watermark.png',
    output_file='./with_watermark.pdf'
)

参数说明

参数类型必填默认值说明
input_filestr-输入 PDF 文件路径
mark_filestr-水印图片文件路径
output_filestr-输出 PDF 文件路径
pdf_file_instr-[已弃用] 请使用 input_file
pdf_file_markstr-[已弃用] 请使用 mark_file
pdf_file_outstr-[已弃用] 请使用 output_file

返回值

None

使用示例

python
from skills.pdf import add_img_water
add_img_water(
    input_file='./report.pdf',
    mark_file='./logo.png',
    output_file='./with_watermark.pdf'
)

原始函数

office.api.pdf.add_img_water

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 Img Water AI skill do?

给 PDF 添加图片水印(logo 等)。当用户提到 PDF 图片水印、PDF 加 logo 时使用。

Why use Add Img Water on TypingMind?

Because you install it once and use it with any model. Add Img Water 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 Img Water in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/CoderWanFeng/python-office/tree/develop/skills/pdf/add_img_water. 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 Img Water?

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 Img Water?

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

Is the Add Img Water 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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