Read Youtube Feed

Q: What does the Read Youtube Feed AI skill do?

获取关注的 YouTube 博主/播客的最新更新。列出最近两天的新视频，包含标题、发布时间和简要描述。 触发词："获取播客更新"、"最近有什么新播客"、"YouTube 更新"、"播客更新"、"有什么新的播客"。 用于每日检查关注的 AI/科技播客是否有新内容更新。

Community

SpaceZephyr

read-youtube-feed

获取关注的 YouTube 博主/播客的最新更新。列出最近两天的新视频，包含标题、发布时间和简要描述。触发词："获取播客更新"、"最近有什么新播客"、"YouTube 更新"、"播客更新"、"有什么新的播客"。用于每日检查关注的 AI/科技播客是否有新内容更新。

Overview

Publisher	SpaceZephyr
Repository	`read-buddy`
Skill name	`read-youtube-feed`
Stars	85
Forks	25
Bundled files	1
Links	Skill source Repository

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 SpaceZephyr on GitHub. Read the source before you install it.

Installation

Install the Read Youtube Feed AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/SpaceZephyr/read-buddy/tree/main/read-youtube-feed
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.

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/SpaceZephyr/read-buddy.git /tmp/read-buddy
mkdir -p .claude/skills
cp -r /tmp/read-buddy/read-youtube-feed .claude/skills/read-youtube-feed

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Read Youtube Feed 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 Read Youtube Feed 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 Read Youtube Feed 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.

YouTube 播客更新监控

获取关注的 YouTube 博主/播客的最新更新。

关注的频道列表

数据来源：Zara's AI Learning Library

AI 教育 & 技术深度

播客名称	频道
Andrej Karpathy	@AndrejKarpathy
Anthropic	@anthropic-ai
Lex Fridman	@lexfridman

AI 产品 & 创业

播客名称	频道
Lenny's Podcast	@LennysPodcast
Peter Yang	@PeterYangYT
The MAD Podcast (Matt Turck)	@DataDrivenNYC
Every	@EveryInc

VC & 投资人

播客名称	频道
Y Combinator	@ycombinator
Latent Space	@LatentSpacePod
South Park Commons	@southparkcommons
No Priors	@NoPriorsPodcast
a16z	@a16z

大厂 & 研究

播客名称	频道
Google DeepMind	@googledeepmind
Google for Developers	@GoogleDevelopers
Stanford GSB	@stanfordgsb

Vibe Coding & 工具

播客名称	频道
Mckay Wrigley	@realmckaywrigley
Tiago Forte	@TiagoForte
The Pragmatic Engineer	@ThePragmaticEngineer

AI 新闻 & 趋势

播客名称	频道
The AI Daily Brief	@TheAIDailyBrief
TBPN	@TBPNLive
Brett Malinowski	@TheBrettWay

快速使用

bash
# 默认获取最近 2 天更新
python3 scripts/get_updates.py

# 获取最近 7 天（一周）的更新
python3 scripts/get_updates.py --days 7

# Markdown 格式输出（带可点击链接）
python3 scripts/get_updates.py --markdown

# 获取播放量（会增加请求时间）
python3 scripts/get_updates.py --views

# 组合使用
python3 scripts/get_updates.py --days 7 --markdown --views

自然语言映射

当用户说：

"获取播客更新" → --days 2
"获取近一周的播客更新" / "这周有什么新播客" → --days 7
"获取近三天的播客更新" → --days 3
"获取本月的播客更新" → --days 30

输出内容

每个播客更新包含：

标题：可点击的 YouTube 链接
频道：来源频道名称
日期：发布日期
时长：视频时长（使用 --views 参数）
播放量：视频观看次数（使用 --views 参数）
摘要：约 300-400 字的内容摘要（从视频描述自动提取）

中文输出要求

当向用户展示播客更新时，Agent 需要：

标题翻译：将英文标题翻译成中文，保留关键术语
嘉宾介绍：详细介绍嘉宾背景（100-150字），包含：
- 嘉宾姓名和当前职位
- 所在公司/机构及其知名度
- 嘉宾的代表作品或成就
- 为什么这个人值得关注
内容摘要：用中文描述播客主要讨论的话题（150-200字）
推荐理由：说明为什么这期播客值得听

输出模板


### {序号}. [{中文标题}]({链接})
**{频道}** | {日期} | ⏱ {时长} | 👁 {播放量}

**嘉宾介绍**：{嘉宾姓名} 是 {公司} 的 {职位}。{公司介绍}。{嘉宾成就}。{为什么值得关注}。

**内容摘要**：本期播客讨论了...（150-200字中文描述）

工作流程

当用户说"获取播客更新"时：

Step 1: 获取更新列表

运行脚本获取最近 2 天的更新：

bash
python3 /Users/ugreen/.claude/skills/read-youtube-feed/scripts/get_updates.py --days 2

Step 2: 展示更新列表

向用户展示格式化的更新列表：


📺 最近 2 天共有 N 个新播客更新：

1. 【Lenny's Podcast】
   📌 视频标题
   🕐 2026-01-30 15:00
   🔗 https://www.youtube.com/watch?v=xxx
   📝 简要描述...

2. 【No Priors】
   ...

Step 3: 用户选择

询问用户：


请选择要处理的播客（输入序号，如 1 或 1,3）：

Step 4: 连接到 read-podcast-workflow

用户选择后，调用 read-podcast-workflow Skill 进行完整处理：

提取字幕
Content-digest 处理
保存到飞书

添加新频道

编辑 scripts/get_updates.py 中的 CHANNELS 列表：

python
CHANNELS = [
    ("频道名称", "channel_id", "@handle"),
    # ...
]

获取 channel_id 的方法：

打开频道页面
查看页面源码，搜索 "channelId"
或使用在线工具如 https://commentpicker.com/youtube-channel-id.php

与其他 Skill 配合

本 Skill 是播客处理流程的第一步：


read-youtube-feed → 用户选择 → read-podcast-workflow → 飞书
     ↓              ↓              ↓
  获取更新      挑选播客      字幕+处理+发布

完整工作流示例

用户： 获取播客更新

Agent：

运行 get_updates.py
展示更新列表
询问用户要处理哪个

用户： 处理第 2 个

Agent：

调用 read-podcast-workflow
提取字幕
询问是否 read-content-digest
处理并保存飞书

Bundled files

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

scripts/get_updates.py16 KB

Frequently asked questions

What does the Read Youtube Feed AI skill do?

Why use Read Youtube Feed on TypingMind?

Because you install it once and use it with any model. Read Youtube Feed 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 Read Youtube Feed in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SpaceZephyr/read-buddy/tree/main/read-youtube-feed. 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 Read Youtube Feed?

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 Read Youtube Feed?

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

Is the Read Youtube Feed AI skill free?

It is published on GitHub by SpaceZephyr. Check the repository for licensing terms. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

YouTube 播客更新监控

关注的频道列表

AI 教育 & 技术深度

AI 产品 & 创业

VC & 投资人

大厂 & 研究

Vibe Coding & 工具

AI 新闻 & 趋势

快速使用

自然语言映射

输出内容

中文输出要求

输出模板

工作流程

Step 1: 获取更新列表

Step 2: 展示更新列表

Step 3: 用户选择

Step 4: 连接到 read-podcast-workflow

添加新频道

与其他 Skill 配合

完整工作流示例

Bundled files

Frequently asked questions

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