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小宇宙播客下载

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bi-boo
小宇宙播客下载

Use when用户要求下载小宇宙播客音频,提供了小宇宙链接或播客名称

Overview

Publisherbi-boo
Repositoryclaude-model-fingerprint
Skill name小宇宙播客下载
Stars
80
Forks
4
Bundled files
2
LicenseMIT
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.

  • 2 bundled files

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

  • Open source

    Published by bi-boo on GitHub. Read the source before you install it.

Installation

Install the 小宇宙播客下载 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/bi-boo/claude-model-fingerprint/tree/main/小宇宙播客下载
  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.

Use it in TypingMind

Enable 小宇宙播客下载 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 小宇宙播客下载 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 小宇宙播客下载 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.

小宇宙播客下载

自动提取并下载小宇宙 (XiaoyuzhouFM) 的播客音频,支持单集和批量下载。

文件结构

小宇宙播客下载/
├── SKILL.md            # 本说明文件
├── batch_download.py   # 批量下载脚本
└── podcast_db.json     # 已收录播客数据库(名称→主页URL映射)

工作目录

$PODCAST_DOWNLOAD_DIR(建议配置为本地某个下载目录,如 ~/Downloads/podcasts)

  • episodes.json — 待下载的单集列表(由步骤 2 生成)
  • downloads/ — 下载输出目录,按播客名称自动创建子文件夹

步骤

1. 获取播客主页地址

  • 先检查本 skill 目录下的 podcast_db.json 中是否已记录该播客的 URL
  • 如果未找到,通过 browser_subagent 搜索并提取主页 URL,将结果追加到 podcast_db.json

2. 提取音频直链

使用 browser_subagent 访问页面:

  • 单集链接:直接打开页面,寻找 audio 标签或 mediaUrl 变量
  • 播客主页:解析节目列表,获取最新 N 期的详情页链接,逐一提取音频地址

核心提取逻辑(在详情页运行):

javascript
const data = JSON.parse(document.getElementById('__NEXT_DATA__').textContent).props.pageProps;
return {
    title: data.episode.title,
    podcast: data.podcast.title,
    audio_url: data.episode.mediaUrl
};

将结果写入工作目录的 episodes.json,格式:

json
[
  {
    "title": "单集标题",
    "podcast": "播客名称",
    "audio_url": "https://media.xyzcdn.net/..."
  }
]

3. 批量下载

运行下载脚本:

bash
python3 "$PODCAST_DOWNLOAD_DIR/batch_download.py"

脚本会读取 episodes.json,按播客名称在 downloads/ 下创建子文件夹,自动跳过已存在的文件。

使用场景

  • "帮我下载这个播客 [URL]"
  • "帮我下载 [播客名称] 最近的 5 期"

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 小宇宙播客下载 AI skill do?

Use when用户要求下载小宇宙播客音频,提供了小宇宙链接或播客名称

Why use 小宇宙播客下载 on TypingMind?

Because you install it once and use it with any model. 小宇宙播客下载 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 小宇宙播客下载 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bi-boo/claude-model-fingerprint/tree/main/小宇宙播客下载. 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 小宇宙播客下载?

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 小宇宙播客下载?

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

Is the 小宇宙播客下载 AI skill free?

Yes. It is published on GitHub by bi-boo under the MIT 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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