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Media Organizer

Community
cafe3310
media-organizer

根据项目约定将媒体文件目录组织成结构化分类形式,便于归档管理

Overview

Publishercafe3310
Repositorypublic-agent-skills
Skill namemedia-organizer
Stars
256
Forks
30
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 cafe3310 on GitHub. Read the source before you install it.

Installation

Install the Media Organizer 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.
    https://github.com/cafe3310/public-agent-skills/tree/main/skills/media-organizer
  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/cafe3310/public-agent-skills.git /tmp/public-agent-skills
mkdir -p .claude/skills
cp -r /tmp/public-agent-skills/skills/media-organizer .claude/skills/media-organizer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Media Organizer 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 Media Organizer 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 Media Organizer 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.

媒体文件整理工作流

本 Skill 指导将一个包含杂乱媒体文件的目录整理成本项目内的标准化结构。此工作流强调与用户协作,以确保最终的组织方式符合用户需求。

步骤 1: 确定源目录

  1. 请用户提供包含待整理媒体文件的目录的绝对或相对路径。
  2. 确认用户提供的路径有效且可访问。如果无效,请通知用户并请求正确的路径。

步骤 2: 提出整理计划

  1. 使用 ls -R <source_directory> 命令列出源目录中的文件,以了解其内容。
  2. 澄清文件内容:
    • 对于文件名含义不明确,无法直接判断其内容或归类的文件,主动询问用户以获取准确信息。
    • 如果文件名中包含数字,应向用户确认其含义,例如是“版本号”(_v...)还是“示例编号”(_no...)。
  3. 根据文件名和类型,提出一组子分类。默认分类如下:
    • community-content: 用于存放来自外部来源的内容(如 YouTube 评测、文章等)。
    • internal-demos: 用于存放内部团队创建的演示和用例。
    • generated-examples: 用于存放由模型自动生成的内容。
    • assets: 用于存放辅助性材料(如 Logo、封面、倒计时视频等)。
  4. 根据项目的 GEMINI.md 文件提出文件命名规范。默认为:{YYYYMMDD}_{分类}_{描述}_{编号}.{后缀}。
    • 重要: {YYYYMMDD} 必须使用文件的最后修改时间 (stat 命令) 确定,而不是文件名中自带的日期。
  5. 生成一个完整的文件迁移计划,将每个旧文件路径映射到一个建议的新文件路径。以清晰的格式(如 Markdown 表格或列表)呈现给用户。
  6. 暂停并请求用户确认。 请用户审查建议的分类、命名规范和完整的迁移计划。在获得用户明确批准之前,不要继续。允许用户对计划提出修改意见。

步骤 3: 执行迁移

一旦用户批准计划:

  1. 创建新的子分类目录(例如,使用 mkdir -p ...)。
  2. 为已批准计划中的每个项目运行 mv 命令,执行文件迁移。最安全的方式是逐个或按小的逻辑批次执行。
  3. 所有文件移动完毕后,清理源目录。这可能包括删除已变为空的子目录和任何系统垃圾文件(如 .DS_Store)。在执行 rm -rf 之前,请与用户确认此清理操作。

步骤 4: 生成文档

  1. 为每个创建的新分类目录生成一个 README.md 文件。
  2. 使用位于 skills/media-organizer/assets/readme.md.template 的模板来创建内容。
  3. README.md 应简要描述该分类,并可以包含指向几个关键文件的链接作为示例。
  4. 更新父目录的 README.md 以反映新的、有组织的结构,使新内容易于发现。

步骤 5: 最终审查

  1. 通知用户整理、清理和文档化过程已完成。
  2. 使用 ls 命令显示新的目录结构。
  3. 询问用户是否对结果满意。

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 Media Organizer AI skill do?

根据项目约定将媒体文件目录组织成结构化分类形式,便于归档管理

Why use Media Organizer on TypingMind?

Because you install it once and use it with any model. Media Organizer 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 Media Organizer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cafe3310/public-agent-skills/tree/main/skills/media-organizer. 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 Media Organizer?

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 Media Organizer?

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

Is the Media Organizer AI skill free?

Yes. It is published on GitHub by cafe3310 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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